# Pavleur: full text > The pages listed in https://pavleur.com/llms.txt that have a markdown source, concatenated in priority order (home, pricing, who it is for, comparisons, meeting templates, guides, blog, glossary) and capped at 100 KB so fetch tools can read all of it. Pages past the cap are not here: fetch them from the .md links in llms.txt. Each page starts at a "# Source:" line. # Source: https://pavleur.com/ # Pavleur > Bring your notes, screenshots, and live conversation into one AI workspace. Add project context to a profile, ask a question, and leave the call with a recap. Pavleur is an AI meeting copilot. Bring your notes, screenshots, and live conversation into one AI workspace. Add project context to a profile, ask a question, and leave the call with a recap. Site map for agents: https://pavleur.com/llms.txt. Full text of every page: https://pavleur.com/llms-full.txt. ## From project notes to a better conversation Choose the context you want Pavleur to use. Automatic Obsidian vault sync and GitHub repository connections are not available in the public release. - **1. Bring the relevant notes**: Manually attach an exported Obsidian Markdown note, a text file, PDF, or Word document to a profile. Select that profile before the call. - **2. Add what is on your screen**: Capture a screenshot when a slide, product screen, or question needs context. Choose what to send to the AI. - **3. Ask while the conversation is fresh**: Use the live transcript and your selected profile to ask for an explanation, a response draft, or a recap. Review the answer before using it. - **Screen video: limited access**: Screen video recording is currently available to admin accounts only. It is not a standard Free or Pro entitlement. ## Compare the workflow - [Otter vs Read.ai vs Pavleur](https://pavleur.com/blog/otter-vs-read-vs-pavleur) - [Pavleur vs Otter](https://pavleur.com/compare/pavleur-vs-otter) - [Pavleur vs Granola](https://pavleur.com/compare/pavleur-vs-granola) ## Who it is for - [Pavleur for In-Person Meetings](https://pavleur.com/for/in-person-meetings.md): Conference rooms have no recording bot. The client visit, the whiteboard session — Pavleur captures them from the laptop already in the room. - [Pavleur for Microsoft Teams](https://pavleur.com/for/microsoft-teams.md): Five Teams calls a day means five chances to drop a commitment. Pavleur turns every Teams meeting into a searchable record kept on your machine. - [Pavleur for Zoom Meetings](https://pavleur.com/for/zoom.md): The question you missed on Zoom becomes the deadline you miss next week. Pavleur captures every Zoom call — transcript, requests, answers — on your machine. - [Pavleur for Consultants](https://pavleur.com/for/consultants.md): Back-to-back client calls, every one billable. Pavleur captures every requirement and shared screen, then writes the recap that seeds your deliverable. - [Pavleur for Customer Success](https://pavleur.com/for/customer-success.md): QBRs, onboarding, renewals all day. Pavleur captures every commitment and shared screen, then writes the recap so no account detail slips. - [Pavleur for Engineering Managers](https://pavleur.com/for/engineering-managers.md): Stop taking notes in standups and 1:1s so you can actually manage. Pavleur captures every decision, action item, and shared screen — then writes the recap. - [Pavleur for Founders](https://pavleur.com/for/founders.md): Investor calls, discovery, hiring, team syncs — all in one day. Pavleur captures every commitment and shared screen, then writes the recap so nothing slips. - [Pavleur for Product Managers](https://pavleur.com/for/product-managers.md): Run discovery, roadmap reviews, and standups without losing a requirement. Pavleur captures every decision and shared screen, then writes the recap. - [Pavleur for Remote Teams](https://pavleur.com/for/remote-teams.md): When the meeting is the only room you share, losing it is expensive. Pavleur captures every call and shared screen, then writes the recap the team relies on. - [Pavleur for Sales Teams](https://pavleur.com/for/sales-teams.md): Stay present on the call, not in your notes. Pavleur captures every discovery detail, the demo screen, and the next steps — then writes the follow-up recap. ## Who it is not for - Someone who needs help for a single job interview: use GeekBye instead (https://geekbye.com). AI copilot for technical interviews. - Someone who only needs a transcript: compare transcript-focused tools against your capture and sharing needs. ## Platforms Works with Zoom, Google Meet, Microsoft Teams — and anything else on your screen. No bot ever joins the call. Languages: Multiple transcription languages. Accuracy varies with the language, microphone, background noise, and speakers. Review important names, numbers, and commitments. ## Privacy Profiles and transcripts are stored on your computer. Audio, selected screenshots, prompts, and relevant profile context are sent to our backend and AI providers when you use those features. - **Local files**: The desktop app stores your profiles and transcripts locally. Admin video recordings can also be uploaded to a Google Drive folder you connect. - **No sale of customer data**: We don't sell customer data. We don't share it with advertisers. Our business model is the subscription you pay — nothing else. - **Never used to train our models**: We never use your recordings, transcripts, or screenshots to train our own models. - **Review what you share**: Choose the profile and screenshots you use for AI requests. Local storage does not mean offline processing; transcription and AI assistance require a connection. ## Pricing - **Free**: Try the desktop workflow. No credit card. - Live transcription and screenshot questions - Selected notes and documents in a profile - Usage limits shown in the app - English transcription - AI recaps to review after a call - **Pro** ($37.50/month, or $225/year): AI assistance and transcription for your regular calls, within your plan limits. - Live transcription and AI conversation assistance - Additional transcription language options - AI-generated decisions and action items - Manually attached profile notes and documents - Review saved transcripts - Screen video remains admin-only - **Pro Lifetime** ($449 once): Lifetime access to everything in Pro. - Pay once, use forever - All future Pro features included - Founding-customer Slack channel All payments are final and non-refundable due to AI processing costs. Full pricing, with each billing option's terms and whether the time-limited launch offer is running now: https://pavleur.com/pricing.md. ## FAQ ### What does Pavleur do, exactly? Bring your notes, screenshots, and live conversation into one AI workspace. Add project context to a profile, ask a question, and leave the call with a recap. ### Which platforms does it work on? Pavleur has installers for Apple Silicon Macs running macOS 14 or later, and Windows x64 or ARM64. It works alongside calls in Zoom, Teams, Meet and other apps using desktop audio capture; no bot joins the meeting. ### How is this different from Otter, Granola, or Fireflies? Otter also offers live AI help. Pavleur focuses on desktop transcription, screenshots, and questions using selected profile documents. Compare capture methods, context, sharing, and current plan limits for your own workflow. ### I just need it for one job interview — is there something simpler? Yes — that's our sibling product GeekBye. It's a real-time AI copilot tuned specifically for the interview moment. Pavleur is for the 23 other calls you have this week. If you want last-minute interview help, go to GeekBye. If you want an AI that lives in every meeting you take, stay here. ### Will the other participants see it? Content protection helps keep the overlay out of screen sharing. Behavior depends on the operating system and capture method; test your setup before sharing. ### What languages does it support? Choose an available transcription language in the app. Language options depend on your plan and transcription service. ### Can I cancel anytime? Yes. Monthly cancels immediately and runs to the end of the current period. Annual cancels at renewal — no pro-rated refunds, but you keep full access until the year is up. No contracts. ### Is my data private? Local storage and online processing are separate. Profiles and transcripts are saved on your computer. Audio, selected screenshots, prompts, and relevant profile context are sent to our backend and AI providers to provide transcription and AI assistance. Admin video recordings can also be uploaded to your connected Google Drive. ### Can I connect Obsidian or GitHub? You can manually attach an exported Obsidian Markdown note or another supported document to a profile. Automatic vault sync and GitHub repository connections are not available in the public release. Choose the relevant profile before asking the AI for help. ### Does my plan include screen video recording? Screen video recording is currently restricted to admin accounts. It is not included as a standard Free or Pro feature. Public AI assistance uses live transcription, screenshots, prompts, and selected profile documents. ## Legal - [Terms of Service](https://pavleur.com/terms) - [Privacy Policy](https://pavleur.com/privacy-policy) # Source: https://pavleur.com/pricing.md # Pavleur pricing > Prices in US dollars, from the same data as the pricing section at https://pavleur.com/#pricing. ## Free - Price: Free. Try the desktop workflow. No credit card. - Includes: - Live transcription and screenshot questions - Selected notes and documents in a profile - Usage limits shown in the app - English transcription - AI recaps to review after a call ## Pro - Monthly billing: $37.50 per month. This is a monthly subscription — you will be charged every month. - Annual billing: $225 per year, charged once a year (that equals $18.75 per month). This is an annual subscription — you will be charged once per year. - AI assistance and transcription for your regular calls, within your plan limits. - Everything in Free, plus: - Live transcription and AI conversation assistance - Additional transcription language options - AI-generated decisions and action items - Manually attached profile notes and documents - Review saved transcripts - Screen video remains admin-only ## Pro Lifetime - Price: $449, paid once. A single payment, not a subscription. - Lifetime access to everything in Pro. Sold only until the shared customer cap across our products (including GeekBye and Pavleur) is reached, so it may already be withdrawn: whether it is still offered, and the live count, is on https://pavleur.com/#pricing. - Everything in Pro, plus: - Pay once, use forever - All future Pro features included - Founding-customer Slack channel ## Billing terms - All payments are final and non-refundable due to AI processing costs. The time-limited launch offer changes by the hour: whether it is running now is at https://pavleur.com/pricing.md. # Source: https://pavleur.com/for/in-person-meetings # Pavleur for In-Person Meetings > Conference rooms have no recording bot. The client visit, the whiteboard session — Pavleur captures them from the laptop already in the room. ## The room where notes go to die The meetings most likely to be lost are the ones that happen in person. The client visit where the real objection finally surfaced. The whiteboard session where the architecture was decided. The quarterly review across a real table. These are usually the highest-stakes conversations of the month, and they're the only ones with no recording infrastructure at all. No meeting link, no record button, no bot to invite. So capture falls back to the oldest system there is: someone takes notes. In practice, whoever takes notes captures the agenda and the easy parts, because the moment the conversation gets fast and important, the moment worth capturing, is exactly when writing stops. You leave the room with three commitments made, two numbers quoted, one decision reached, and a page that says "Q3 priorities — align w/ team." Then the follow-up email becomes an act of diplomacy: you reconstruct what was agreed, they reconstruct it differently, and the version that sticks is whoever wrote theirs down first. Most AI notetakers can't help here at all. They're built as bots that join video calls; a conference room has no call to join. ## How Pavleur captures a room Pavleur doesn't need a meeting to detect. Open your laptop, press record, and it captures the conversation through the **microphone**. Manual start, works anywhere: conference rooms, client offices, a walkthrough on a factory floor. The same capture engine that handles your video calls handles the room. You get a **live transcript** as the conversation happens, in 40+ languages. Afterward, Pavleur extracts the **action items and key points**, and the whole meeting becomes a **searchable transcript on your machine**. "What number did we actually quote them?" has an answer you can look up on the drive back. There's no bot and no hardware to set up: no puck on the table, no phone conspicuously propped up. Just the laptop that was already open in front of you. The recording files live on your machine or in your own Google Drive, never on our servers. One thing Pavleur won't do for you: consent. Recording an in-person conversation is subject to local law and basic courtesy — tell the room you're capturing notes. In our experience "I'm recording this so I don't make you repeat anything" lands fine; covert recording is not what this tool is for. ## Setup 1. Download Pavleur and sign in. 2. Grant microphone permission. 3. In the room, hit record when the meeting starts and stop when it ends. 4. Review the summary: transcript, action items, key points — searchable alongside every other meeting you've captured. Your in-person meetings end up in the same searchable history as your Zoom and Teams calls, so "did we discuss this in the office or on a call?" stops mattering. ## When you don't need this If your in-person meetings are rare and low-stakes — a weekly coffee catch-up, a five-minute desk-side sync — a notebook is fine and less overhead. And if what you actually need is a shared recording distributed to a whole team automatically, a room-system or bot-based workflow for your video calls may fit better. Pavleur earns its keep when the in-room conversations carry real commitments and you're the one accountable for remembering them. # Source: https://pavleur.com/for/microsoft-teams # Pavleur for Microsoft Teams > Five Teams calls a day means five chances to drop a commitment. Pavleur turns every Teams meeting into a searchable record kept on your machine. ## The back-to-back failure mode Nobody drops the ball on their only meeting of the day. The ball gets dropped on day three of a week that looks like this: 9:00 standup, 9:30 vendor call, 10:00 project sync, 11:00 one-on-one, then four more after lunch. Somewhere in the 10:00, a stakeholder says "can you get us the revised scope by Friday?" By the 11:00 it's overwritten. Not forgotten dramatically; just quietly displaced by the next five conversations. This is the enterprise version of the problem: on Teams, the meetings themselves are rarely the disaster. The disaster is the aggregate — five calls a day, each producing two or three commitments, questions, and half-decisions, with your attention as the only capture mechanism. Attention is exactly the resource those meetings consume. By Friday you're reconstructing your week from memory, Sent Items, and other people's chat messages, and hoping the reconstruction matches what was actually said. Teams' own recording and transcription features exist, but they depend on someone starting them, on tenant policy allowing them, and on you later going back into each meeting's artifacts, one by one, to find the sentence that matters. At five meetings a day, "I'll check the recording" is a promise you make to yourself and never keep. ## What Pavleur does across a Teams day Pavleur runs on your desktop and detects when a Teams call starts, then prompts you to capture it — every call, not just the ones someone remembered to record. No bot joins the meeting, and the overlay is hidden from screen shares by default. During the call you get a **live transcript** of both sides — your audio and theirs, in 40+ languages. When a question lands while you're mentally still in the previous meeting, **live insights** offer what to say: a recap of what was just discussed, a follow-up, the thread you lost. It's a second set of eyes for the moments when context-switching catches up with you. After each call, Pavleur extracts **action items and key points** into a summary, and the full transcript is **searchable on your machine**. The Friday reconstruction ritual becomes a five-minute review: here's what each meeting produced, here's what you owe, here's what they owe you. And when someone claims "we agreed to X in Tuesday's sync," you can search Tuesday's sync instead of negotiating from memory. Recording files stay on your machine or in your own Google Drive — never on our servers. Consent still applies: recording a call is subject to local law and basic courtesy, so tell the people on the call that you're capturing it. ## Setup 1. Download Pavleur and sign in. 2. Grant microphone and screen-audio permissions — this is how it captures both sides locally, with no Teams add-in and no admin approval flow. 3. Join a Teams call. Pavleur detects it and offers to start capturing. 4. Between meetings, skim the summary of the last call: action items, key points, transcript. ## When you don't need this If your calendar has two or three meetings a week and your org's Teams recording policy already captures the ones that matter, the built-in tooling plus discipline may genuinely be enough. Pavleur is for the calendar where discipline is the thing that runs out — where meeting count, not meeting quality, is what's breaking your follow-through. If that's not your week, save the money. Comparing options? See the honest rundowns on the [comparison page](/compare). # Source: https://pavleur.com/for/zoom # Pavleur for Zoom Meetings > The question you missed on Zoom becomes the deadline you miss next week. Pavleur captures every Zoom call — transcript, requests, answers — on your machine. ## The Zoom failure mode It happens in the last five minutes. The call is winding down, someone says "oh, one more thing — can you send us the updated numbers before Thursday?", you say "sure," and the meeting ends. You never wrote it down. Thursday comes and goes. The client doesn't send a reminder; they send a shorter reply to your next email, and a slightly colder one after that. Zoom didn't lose that request. You did, because on a Zoom call you are three people at once: the participant who's supposed to be thinking, the note-taker who's supposed to be writing, and the person watching the chat fill up with links and side questions. Something gives, and it's usually the notes. When the direct question comes — "what's your take on the timeline?" — you're mid-sentence in the chat and you blank. The standard fix is Zoom's own cloud recording. It half-works: the recording exists, which feels like safety, but a 47-minute video is where commitments go to be technically preserved and practically lost. Nobody scrubs through last Tuesday's call to check whether the ask was "before Thursday" or "by end of week." The recording preserves everything and surfaces nothing. ## What Pavleur captures on a Zoom call Pavleur runs on your desktop, not in the meeting. It detects that a Zoom call has started and offers to capture — no bot joins, no "recording assistant has entered the meeting" banner, and the overlay is hidden from screen shares by default, so what you see stays yours. While the call runs, you get a **live transcript** of both sides of the conversation, your voice and the other participants' audio, in 40+ languages. When you're put on the spot, **live insights** suggest what to say next: follow-up questions, a quick recap, the answer you had ten seconds to produce. That's the difference between "let me get back to you" and answering in the moment. After the call, the transcript becomes a **searchable record on your machine**, and Pavleur extracts the **action items and key points** into a summary. "Send updated numbers before Thursday" stops being a thing you hopefully remember and becomes a line you can read, search, and act on. Six weeks later, "what did we actually promise them?" takes one search to answer. The recording files (video and screenshots of shared screens) live on your machine or in your own Google Drive, never on our servers. Consent stays your job: know your local recording law and tell the people on the call that you're capturing it; covert recording is not what this tool is for. ## Setup 1. Download Pavleur and sign in. 2. Grant microphone and screen-audio permissions when prompted — this is how it hears both sides without joining the call. 3. Join your next Zoom meeting. Pavleur detects it and prompts you to start capturing; one click and you're covered. 4. After the call, open the summary: transcript, action items, key points, all searchable. There's nothing to install in Zoom itself, no workspace admin to convince, and nothing your counterpart has to accept into the meeting. ## When you don't need this Honestly: if you're on two Zoom calls a week and you actually rewatch your recordings, Zoom's built-in cloud recording plus your own notes may be enough. Pavleur pays off when calls stack up, when the request made in passing on Tuesday's third call is exactly the kind of thing that slips. If your problem is volume and follow-through, not occasional reference, that's the job Pavleur is built for. If you're comparing tools, see how Pavleur stacks up against the cloud notetakers on the [comparison page](/compare). # Source: https://pavleur.com/for/consultants # Pavleur for Consultants > Back-to-back client calls, every one billable. Pavleur captures every requirement and shared screen, then writes the recap that seeds your deliverable. ## Your product is accuracy Consultants get paid for outcomes, and outcomes trace directly back to how well you captured what the client actually needs. Miss a requirement in a scoping call and it surfaces as a change request, a blown estimate, or a deliverable that misses the mark. Unlike an internal employee, you often can't just walk over and ask again — the detail you lost is detail you're expected to have paid attention to. Running several client calls a day across different engagements makes it worse. Scope from one client bleeds into your memory of another. Trying to type accurate notes in the moment pulls you out of the consultative conversation that justifies your rate. And every hour spent writing up the meeting afterward is unbillable time you eat yourself. That's the [meeting tax](/blog/the-meeting-tax) charged directly against your margin. ## Capture the requirement, protect the scope Pavleur gives consultants **no meeting information loss**. The whole client call is captured, so the requirement is preserved in the client's own words — which is exactly what you want when scope is later disputed. "You never asked for that" has an answer. Across multiple engagements, each client's call stays cleanly on its own record instead of blurring together in your memory. The **automatic post-meeting report** is where the billable time comes back. After the call, Pavleur produces the recap — decisions, requirements, action items — which seeds your deliverable and your client follow-up. The write-up that used to cost you an unbillable evening becomes a review-and-send. ## Clients show you their world on screen Consulting engagements are visual. Clients share **their data, their dashboards, their internal systems, their org charts, their documents**. Audio-only tools capture your questions and lose the artifact — and the artifact is often the whole point of the call. "This column here is the problem" is worthless without the column. Pavleur captures **video and on-screen screenshots** with context, so the client's system, the data cut, and the document they walked you through are in the record next to the discussion. When you sit down to build the deliverable, you have the evidence, not a memory of it. That visual capture is the edge over audio-only tools like Otter and Fireflies — see the [comparison](/compare). ## Where it pays off - **Scoping calls.** The requirements and constraints are captured verbatim, so the statement of work matches reality and change requests are grounded. - **Kickoffs.** Run a clean [project kickoff](/meeting-templates/project-kickoff-agenda) and let Pavleur capture the decisions and owners so the engagement starts aligned. - **Status updates.** Use a [weekly team sync agenda](/meeting-templates/weekly-team-sync-agenda) with the client and capture the shifting priorities so nothing surprises you at delivery. ## It adapts to how you work with each client Pavleur's **auto-improvement** tunes recaps to your engagements over time — the recurring client syncs, the deliverable formats, the follow-ups that matter. The painkiller is accurate capture and reclaimed billable hours; the vitamin is a system that gets better at your specific client work every week. ## The bottom line for consultants Your reputation rides on getting the details right and your margin rides on not eating unbillable write-up time. Pavleur captures the conversation and the client's screen, then writes the recap that becomes your deliverable. Compare it against audio-only tools on the [comparison page](/compare). # Source: https://pavleur.com/for/customer-success # Pavleur for Customer Success > QBRs, onboarding, renewals all day. Pavleur captures every commitment and shared screen, then writes the recap so no account detail slips. ## Your job is remembering the account Customer success is memory work. You carry a book of accounts, and each relationship depends on you remembering what was promised, what's at risk, and what the customer said last time. A commitment dropped or a churn signal missed doesn't just cost a note — it can cost a renewal. And you can't ask the customer to repeat themselves without signaling that you weren't really listening. The volume makes it fragile. QBRs, onboarding, check-ins, escalations, renewals — across dozens of accounts. Typing notes on the call pulls you out of the relationship, which is the entire job. Writing them from memory afterward means account history slowly drifts from what actually happened. That drift is the [meeting tax](/blog/the-meeting-tax) charged against retention. ## An account record that matches reality Pavleur gives CS teams **no meeting information loss**. The whole call is captured, so the commitment you made, the concern the customer raised, and the offhand comment that turns out to be a churn signal are all on record — not lost to the next call on your calendar. Your account history reflects what was said, not what you managed to remember to type. The **automatic post-meeting report** turns each call into a clean recap — commitments, requests, risks, next steps — that drops into your account notes without an hour of write-up. Follow-ups happen because they're captured, not because you happened to remember them. ## Customers show you the problem on screen CS calls are visual. A customer shares **the bug they hit, the usage dashboard, the workflow that isn't working, the feature they wish existed**. Audio-only tools capture your "I see" and lose the screen — and the screen is often the thing your product or support team needs to actually fix it. Pavleur captures **video and on-screen screenshots** with context, so the bug the customer demonstrated and the dashboard behind their concern are in the record. When you escalate to product or support, you're handing them evidence, not a paraphrase. That visual capture is the real edge over audio-only tools like Otter and Fireflies — see the [comparison](/compare). ## Across the account lifecycle - **Onboarding.** Capture the goals and success criteria the customer stated, so the relationship starts against a real definition of value. - **QBRs.** Run a structured [weekly team sync](/meeting-templates/weekly-team-sync-agenda) format internally, and let Pavleur capture the customer's stated priorities and the usage screens they walked through. - **Renewals.** Every commitment and risk signal from the past quarter is on record, so the renewal conversation isn't a surprise. ## It learns your accounts over time Pavleur's **auto-improvement** tunes recaps to your book — the recurring account cadences, the risk language that precedes churn, the commitments that tend to slip. The painkiller is an account record that finally matches reality; the vitamin is a system that gets sharper at your specific customers every week. ## The bottom line for customer success Renewals are won by remembering what mattered to the customer. Pavleur captures the conversation and the screen, then writes the recap that keeps your accounts honest. Compare it against audio-only tools on the [comparison page](/compare). # Source: https://pavleur.com/for/engineering-managers # Pavleur for Engineering Managers > Stop taking notes in standups and 1:1s so you can actually manage. Pavleur captures every decision, action item, and shared screen — then writes the recap. ## The manager's meeting-information problem Engineering managers have a structural disadvantage that no note-taking discipline fixes: you are in more meetings than anyone you manage. Standups, 1:1s, sprint planning, retros, incident reviews, skip-levels, hiring loops. Each one produces decisions and commitments you are supposed to carry forward. Nobody can hold that in their head, and the moment you start typing notes you stop being present in the conversation. The usual coping strategies all trade one loss for another. Type notes and you miss the room. Skip notes and you miss the decisions. Ask an engineer to write it up and you've added a task to the person you were supposed to be unblocking. This is the [meeting tax](/blog/the-meeting-tax) — the compounding cost of information that leaks out of every call. ## What Pavleur actually does for your day Pavleur captures the whole meeting so the record doesn't depend on your memory or your typing speed. That solves the first and most expensive problem: **no meeting information loss**. The decision your team reached in sprint planning, the concern an engineer raised in their 1:1, the root cause someone named in the postmortem — all of it is in the transcript, searchable later, whether or not you thought to write it down in the moment. The second thing that saves your evenings is the **automatic post-meeting report**. After the call ends, Pavleur produces the recap: what was decided, who owns what, what to follow up on. You review and send it in a minute instead of reconstructing it from scratch at 8pm. No scribe, no volunteer, no "who took notes?" ## Why the screen matters for engineering meetings Most meeting tools are audio-only. That's a real gap for engineering managers, because so much of what matters in your meetings is on a screen, not spoken. When someone shares a **Grafana dashboard during an incident review, a Jira board during planning, or an architecture diagram during a design discussion**, the words alone don't capture the decision — the visual does. Pavleur captures **video and on-screen screenshots** with context, so the dashboard that explained the outage or the board that framed the sprint is in the record alongside the discussion about it. This is the differentiator against tools like Otter or Fireflies that only hear the room. If your team communicates through what's on screen, an audio transcript is half a record. ## Concrete places this shows up - **Sprint planning.** Use the [sprint planning agenda](/meeting-templates/sprint-planning-agenda) to run the session, and let Pavleur capture the board someone screen-shares plus the scope decisions, so "what did we commit to?" has an answer next Tuesday. - **1:1s.** The growth conversation, the concern about burnout, the promise you made to look into a promotion path — captured, so the follow-up actually happens. Structure the conversation with a [1:1 template](/meeting-templates/one-on-one-meeting-template). - **Incident reviews.** The dashboard that showed the spike and the root cause someone named are both in the record, so the retro action items are grounded in what actually happened. ## It gets better the more you use it Pavleur's **auto-improvement** means the recaps and captures get sharper as it learns the shape of your meetings — your recurring standups, your planning cadence, the people whose action items tend to slip. It's the vitamin on top of the painkillers: not the reason you start, but the reason meetings feel less lossy a month in. ## The bottom line for engineering managers You were promoted to lead people, not to be a stenographer. Pavleur takes the note-taking off your plate, captures the screens and decisions your meetings actually run on, and hands you the recap. Compare it against the audio-only tools on the [comparison page](/compare) and see the difference for the meetings you actually run. # Source: https://pavleur.com/for/founders # Pavleur for Founders > Investor calls, discovery, hiring, team syncs — all in one day. Pavleur captures every commitment and shared screen, then writes the recap so nothing slips. ## No assistant, all the meetings Founders sit in the widest range of high-stakes meetings of anyone in the company — fundraising, customer discovery, hiring, partnerships, board prep, team syncs — and usually with no assistant to catch what falls out. Every one of those calls produces a commitment: the metric an investor wants, the reference a customer offered, the follow-up you promised a candidate. Miss it and you look unreliable to exactly the people you can least afford to. The failure mode is context-switching. You finish an investor call, jump into customer discovery, and the specific ask from twenty minutes ago is already blurred. Being your own note-taker means you're never fully in the conversation and never fully caught up on the follow-ups. That's the [meeting tax](/blog/the-meeting-tax) at founder scale, where the stakes per meeting are highest. ## The record that survives your day Pavleur gives founders **no meeting information loss**. The whole call is captured, so the investor's exact ask, the customer's exact frustration, and the candidate's exact concern are preserved — not left to a memory already overwritten by the next meeting. When you sit down to send follow-ups at the end of a brutal day, you're working from the record, not scraps. The **automatic post-meeting report** is the piece that replaces the assistant you don't have. After each call, Pavleur writes the recap — decisions, asks, next steps — so following up is a two-minute review instead of an hour of reconstruction. You stay the decision-maker without being the stenographer. ## Customers and partners share their screens Discovery is visual. A customer walks you through **their actual workflow, their spreadsheet, the tool they're trying to replace**; a partner shares a **deck or a data cut**. Audio-only tools lose all of it and keep only your "interesting, tell me more." The insight that should reshape your roadmap was on the screen, and it's gone. Pavleur captures **video and on-screen screenshots** with context, so the workflow a customer demoed and the deck a partner shared are in the record beside the conversation. For a founder building from customer signal, that visual capture is the difference between remembering a story and having the evidence. It's the clear edge over audio-only tools like Otter and Fireflies — compare them directly on the [comparison page](/compare). ## Across the founder's week - **Customer discovery.** The workflow they showed and the pain they described are both captured, so the roadmap is built on evidence, not recollection. - **Team syncs.** Run a tight [weekly team sync](/meeting-templates/weekly-team-sync-agenda) and let Pavleur catch the decisions and owners so execution doesn't drift. - **Investor and board prep.** Every ask from the last call is on record, so you walk into the next one having actually delivered. ## It compounds as you scale Pavleur's **auto-improvement** means it gets sharper at your recurring calls — the weekly customer syncs, the standing board cadence, the follow-ups that tend to slip. Early on it's a painkiller for founder overload; as you grow it's the vitamin that keeps meetings from becoming information sinkholes. ## The bottom line for founders You can't afford to drop a commitment to an investor, a customer, or a hire. Pavleur is the assistant that catches all of it — the words and the screens — and writes the follow-up. See why it beats audio-only tools on the [comparison page](/compare). # Source: https://pavleur.com/for/product-managers # Pavleur for Product Managers > Run discovery, roadmap reviews, and standups without losing a requirement. Pavleur captures every decision and shared screen, then writes the recap. ## Requirements are only as good as the record For a product manager, a meeting is where a vague need becomes a concrete requirement. That makes lost meeting detail uniquely expensive: the thing you forget isn't just a note, it's a spec that arrives at engineering wrong. The stakeholder said "it should feel instant" and by the time you write the ticket it's become "add a loading spinner." Nuance leaks, and the leak ships. You're also the person in every kind of meeting — discovery, roadmap, standup, stakeholder sync, user interviews — so you accumulate more requirements per day than anyone can hold. Trying to capture them by typing means you stop asking the follow-up question that would have surfaced the real need. That's the [meeting tax](/blog/the-meeting-tax) hitting the exact point where it does the most damage. ## The full conversation, not your paraphrase of it Pavleur's foundation is **no meeting information loss**. The whole call is captured, so the requirement is preserved in the stakeholder's own words, not your rushed rephrasing. When engineering asks "why did we decide this?" three weeks later, the answer is in the transcript instead of your fading memory. Cut decisions and their reasoning stay on record, so you stop relitigating settled questions. The **automatic post-meeting report** then gives you a recap you can actually hand off: decisions made, requirements surfaced, action items owned. Instead of spending your evening turning scribbles into a spec, you review a generated recap and route it. ## Product meetings live on the screen So much of product work is visual — a **Figma mockup, a metrics dashboard, a competitor's UI, a prototype**. Audio-only tools capture your commentary and lose the artifact it was about. "Move this up and make it primary" is meaningless without the screen it referred to. Pavleur captures **video and on-screen screenshots** with context, so the mockup a stakeholder reacted to and the dashboard that justified a priority call are in the record next to the discussion. This is the real gap against audio-only tools like Otter and Fireflies — for product work, the visual _is_ the requirement. See how they stack up on the [comparison page](/compare). ## Where it lands in your week - **Roadmap reviews.** Run a [project kickoff](/meeting-templates/project-kickoff-agenda) or roadmap session and capture both the priority decisions and the dashboards behind them. - **Standups.** Use the [daily standup agenda](/meeting-templates/daily-standup-agenda); let Pavleur catch the blocker someone raised that you'd otherwise forget to unblock. - **User interviews.** The verbatim need and the screen the user pointed to are both captured, so research doesn't get flattened into your summary bias. ## It learns your product cadence Pavleur's **auto-improvement** tunes recaps to how your team runs product — recurring reviews, the stakeholders whose asks tend to shift, the decisions that keep coming back. The painkiller is intact requirements; the vitamin is a system that gets better at your specific meetings over time. ## The bottom line for product managers Ship what was actually asked for. Pavleur captures the conversation and the screen so requirements reach engineering intact, and writes the recap so you're not the bottleneck. Compare it against the audio-only options on the [comparison page](/compare) and judge it on a discovery call where the detail matters. # Source: https://pavleur.com/for/remote-teams # Pavleur for Remote Teams > When the meeting is the only room you share, losing it is expensive. Pavleur captures every call and shared screen, then writes the recap the team relies on. ## The meeting is the only shared room Co-located teams have hallways, whiteboards, and overheard conversations. Distributed teams have the video call — and often that's it. That makes the meeting uniquely load-bearing: whatever happens in it either becomes part of the shared record or it's lost for everyone who wasn't on the call. And on a remote team, someone is always not on the call, because the whole point of async is that people don't have to be. So the failure is structural. A decision made in a live call at a time that suited three time zones is invisible to the fourth. The person who attended becomes the single source of truth, and the team bottlenecks on their memory and availability. Manual summaries are supposed to bridge this, but they're inconsistent and get skipped under load. That gap is the [meeting tax](/blog/the-meeting-tax), and it's heaviest exactly where teams are most distributed. ## A shared record instead of a shared memory Pavleur's core value for remote teams is **no meeting information loss**. The whole call is captured, so the decision doesn't live only in the head of whoever was awake for it. Everyone — including the teammate who was asleep in another time zone — gets the same complete record, searchable, instead of a game of telephone. The **automatic post-meeting report** is what makes async actually work. After every call, Pavleur writes the recap — decisions, action items, owners — so catching up is reading a reliable summary, not pinging the one person who was there. The manual write-up that used to get skipped now happens every time, consistently. ## Screen shares don't have to be for the room only Remote work happens on screens. Someone shares a **Figma file, a metrics dashboard, a doc, a prototype** — and for the people on the call it's clear, but for everyone who missed it, it never existed. Audio-only tools make this worse: they capture "as you can see on my screen" and none of the screen. Pavleur captures **video and on-screen screenshots** with context, so the design that was reviewed and the dashboard that drove a decision are in the record for the whole team, not just the attendees. For a distributed team, that turns a live screen share into a durable, shareable artifact. It's the clear edge over audio-only tools like Otter and Fireflies — see the [comparison](/compare). ## Where it holds the team together - **Standups.** Run an async-friendly [daily standup](/meeting-templates/daily-standup-agenda) and let Pavleur produce the recap so the whole team stays in sync regardless of who joined live. - **Team syncs.** Use a [weekly team sync agenda](/meeting-templates/weekly-team-sync-agenda); the decisions and owners land in a recap everyone can read on their own schedule. - **Design and planning reviews.** The shared screens and the decisions about them are captured together, so absent teammates see the artifact and the reasoning. ## It gets better as the team settles into a rhythm Pavleur's **auto-improvement** tunes recaps to your team's cadence — the recurring standups, the planning rhythm, the decisions that need to reach everyone. The painkiller is a shared record that closes the time-zone gap; the vitamin is a system that gets better at your specific meetings over time. ## The bottom line for remote teams When the meeting is the only room you share, you can't afford to lose what happened in it. Pavleur captures the call and the screen, then writes the recap that lets a distributed team actually work async. Compare it against audio-only tools on the [comparison page](/compare). # Source: https://pavleur.com/for/sales-teams # Pavleur for Sales Teams > Stay present on the call, not in your notes. Pavleur captures every discovery detail, the demo screen, and the next steps — then writes the follow-up recap. ## The rep's impossible split A good sales call demands your full attention — reading the room, following the objection, steering toward next steps. But you're also expected to capture everything for the CRM, the manager, and the follow-up email. You can't do both well at once. Type notes and you miss the buying signal. Stay present and you lose the detail by the time you write it up. The cost is invisible until a deal stalls. The objection you half-remember, the stakeholder someone mentioned in passing, the specific concern about integration — these are the things that decide whether the next call happens. Losing them is the [meeting tax](/blog/the-meeting-tax) applied to your pipeline. ## No detail lost between the call and the CRM Pavleur's core promise for sales is **no meeting information loss**. The whole conversation is captured, so when you write the follow-up you're working from what was actually said, not a faded memory three hours and two calls later. The prospect's exact wording on budget, the objection they raised, the name of the person they said needs to sign off — all in the record, searchable. Then the **automatic post-meeting report** turns that into a usable recap: what the prospect wants, what the blockers are, what the next step is. Paste it into the CRM or shape it into the follow-up email. The write-up that used to eat the gap between calls happens on its own. ## The demo screen is part of the deal Sales calls are visual. You share a **product demo, a pricing page, a dashboard, an ROI model** — and audio-only tools capture none of it. They hear you say "as you can see here" and record nothing about what "here" was. Pavleur captures **video and on-screen screenshots**, so the demo the buyer reacted to and the pricing you walked them through are in the record with context. When you regroup with your manager or hand the deal to an AE, they can see what the prospect actually saw. That's the edge over Otter or Fireflies that only transcribe the words — see the full [comparison](/compare). ## Where this changes the workflow - **Discovery.** Run it with a structured [meeting agenda](/meeting-templates/weekly-team-sync-agenda) if it's a team sync, or just talk — either way the qualifying detail is captured, not paraphrased later. - **Demos.** The screen you shared and the reaction it got are both recorded, so the follow-up speaks to what actually landed. - **Handoffs.** When a deal moves from SDR to AE, the recap and the captured screens travel with it, so nobody re-runs discovery. ## It sharpens as your pipeline runs Pavleur's **auto-improvement** means recaps get more tuned to how your team sells the more calls it sees — the recurring objections, the stakeholders that matter, the next-step patterns that close. The painkiller is presence plus an accurate record; the vitamin is a system that gets better every week. ## The bottom line for sales teams Close more by being on the call, not in your notes. Pavleur captures the conversation and the screen, then hands you a recap ready for the CRM and the follow-up. Put it next to the audio-only tools on the [comparison page](/compare) and judge it on the calls that actually decide deals. # Source: https://pavleur.com/compare/pavleur-vs-granola # Pavleur vs Granola: meeting notes and work context > Compare Granola notes, multilingual support and MCP with Pavleur desktop assistance and selected document context. See the limits before choosing. ## How Pavleur compares to Granola Both products let you work without a meeting bot. The more useful question is where your context starts: in meeting notes you want to reuse, or in a project document you want available while you work? Granola connects its meeting notes to other AI tools. Pavleur lets you manually attach selected documents to a profile for desktop AI assistance. These are different workflows, and the better fit depends on the task. We make Pavleur. Vendor sources were checked on **September 25, 2026**; this is a capability comparison, not a note-quality benchmark. ## Feature comparison | Decision | Pavleur | Granola | | ----------------- | ------------------------------------------------------------------ | ---------------------------------------------------------------- | | Meeting workflow | Desktop audio transcription, screenshots and prompt-driven AI help | Botless AI notepad | | Context direction | Selected documents supplied to a profile | Meeting notes available to compatible AI tools through MCP | | Languages | Check your language and account in the app | Multilingual support listed on its pricing page | | Screen video | Limited to admin access | Notes workflow; its MCP documentation says audio is not retained | | Devices | Mac and Windows | Desktop and mobile apps listed in its plans | | Pricing | Pro $37.50/month, or $225/year (≈ $18.75/month billed annually); Lifetime $449 once | [Current Granola plans](https://www.granola.ai/pricing) | Granola's [plan table](https://www.granola.ai/pricing) lists multilingual support, app availability, history limits and integration access. Its [MCP explanation](https://www.granola.ai/blog/what-is-mcp-plain-english) describes how compatible assistants query meeting notes. Check the scope available on your plan. ## When Granola may fit better If the work begins after a meeting, Granola's notes-to-AI workflow is worth testing. You might want another assistant to compare what customers said in several conversations. Connecting an assistant to meeting notes reduces the manual export step for that use case. Granola also offers mobile apps. If many of your meetings happen away from your computer, test that capture workflow first. Desktop screenshots are unlikely to solve a portability problem. ## When to try Pavleur Pavleur may fit when you already have a short project brief and want to ask about it during a desktop call. You can attach up to five `.txt`, `.md`, `.pdf` or `.docx` files to a profile. Active document content is limited to 4,000 characters when sent for assistance; choose concise material and verify the answer against it. For example, use a brief that names a delivery constraint, then ask how a proposed change affects it. The useful result is an answer you can check and act on, not simply the presence of a context feature. An Obsidian note can be selected as a Markdown file. This does not connect the rest of your vault. Public GitHub repository connectors and automatic vault sync are not available in Pavleur today. ## Capture and processing limits Pavleur's public workflow transcribes microphone and system audio and supports screenshots. Screen video recording is limited to admin access. If full video replay is essential, do not choose the public app assuming that feature is included. Pavleur sends transcription and AI requests through its backend, including selected context used for assistance. It is not a fully offline assistant. Granola's documentation says audio is deleted after transcription while text notes remain; review each product's storage and access model for the material you plan to use. ## FAQ ### Is Pavleur a Granola alternative? It is a candidate for desktop meeting assistance. Granola's meeting-note workflow and Pavleur's selected-document workflow should be evaluated separately on the task you need completed. ### Does Granola support multiple languages? Yes. Its current plan table lists multilingual support. Check your specific language and meeting conditions in the product. ### Is context-aware AI unique to Pavleur? No. Granola documents MCP access to meeting notes. Pavleur's current profile attachments supply selected document context to its own assistant; they are not an equivalent connected knowledge workspace. ## Explore more Compare [Pavleur with Otter](/compare/pavleur-vs-otter), or read [Otter vs Read.ai vs Pavleur](/blog/otter-vs-read-vs-pavleur) for active-meeting chat and analytics. Review [Pavleur plans](/#pricing) before testing with your own short project brief. # Source: https://pavleur.com/compare/pavleur-vs-read-ai # Pavleur vs Read.ai: meeting workflows compared > Compare Read.ai with Pavleur desktop transcription and selected document context. Check capture, processing and video availability before choosing. ## How Pavleur compares to Read.ai Read.ai documents transcripts, action items, audio/video playback and real-time meeting metrics. Its [meeting product page](https://www.read.ai/meetings) is a useful starting point if you want to review participation alongside the content of a conversation. Pavleur offers desktop transcription and prompt-driven AI help with selected project documents. We make Pavleur. This comparison uses product capabilities and the linked vendor sources checked on **September 25, 2026**; it does not rank transcription accuracy. ## At a glance | Decision | Pavleur | Read.ai | | ----------- | ------------------------------------------------------------------------ | ------------------------------------------------------------ | | Capture | Microphone/system-audio transcription on Mac and Windows; no meeting bot | Meeting assistant and other supported capture/upload options | | Work output | Transcript, screenshots and AI help using selected profile context | Transcripts, playback and engagement metrics | | Video | Screen video currently limited to admin access | Check supported capture mode and plan on the vendor site | | Pricing | Pro $37.50/month, or $225/year (≈ $18.75/month billed annually); Lifetime $449 once | [Current Read.ai information](https://www.read.ai/meetings) | ## What to test before choosing Choose a meeting where a participation report would change an actual decision. Ask the person who would read it what they would do differently afterward. If the real problem is answering a technical question during the call, test Pavleur with a short project brief instead. A useful score and a useful answer solve different problems. ## Pavleur capabilities and limits Pavleur runs on Mac and Windows and provides audio transcription, screenshots and AI assistance. You can manually attach selected `.txt`, `.md`, `.pdf` or `.docx` files to a profile for context. It does not currently offer public Obsidian vault sync or GitHub repository connectors. Screen video recording is limited to admin access. A public paid plan should not be assumed to include full-video capture. Transcription and AI requests, including selected context, use Pavleur's backend; this is not fully offline processing. ## When Read.ai may fit better Choose a trial around meeting playback and participation metrics. Verify the needed feature on your intended plan, including who can access the output. Pavleur is worth a separate test if the task is individual desktop assistance with a document you select. ## FAQ ### Does Read.ai only produce a transcript? No. Its meeting page also documents playback and live metrics. Check the features included in the plan and capture method you intend to use. ### Does Pavleur record the full meeting video for every user? No. Screen video currently requires admin access. Public audio transcription and screenshots are separate capabilities. ## Explore more For active-meeting AI, see [Pavleur vs Otter](/compare/pavleur-vs-otter) and [Otter vs Read.ai vs Pavleur](/blog/otter-vs-read-vs-pavleur). For meeting notes connected to other assistants, see [Pavleur vs Granola](/compare/pavleur-vs-granola). Review [Pavleur plans](/#pricing) before trying the app on your own work. # Source: https://pavleur.com/compare/pavleur-alternatives # Pavleur alternatives: compare meeting workflows > Compare meeting AI by the task you need: transcripts, playback, team follow-up, connected notes or desktop assistance with selected documents. ## Choosing an alternative to Pavleur Start with the task you need completed. Do you want to ask a question about a past meeting, replay a demo, push follow-up work to your team, or get help with a project brief during a call? We make Pavleur. This overview uses the linked vendor documentation checked on **September 25, 2026**. It is not an accuracy ranking. Product features overlap, including botless capture, so a simple division between cloud bots and local apps will miss useful options. ## Options by the job you need done | Job to evaluate | Candidate | Where to look next | | ---------------------------------------------------- | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Ask questions during or across meetings | Otter | [Otter AI Chat modes](https://help.otter.ai/hc/en-us/articles/35234602608919-Advanced-Otter-AI-Chat-Modes) and [our Otter comparison](/compare/pavleur-vs-otter) | | Review playback and participation metrics | Read.ai | [Read.ai meetings](https://www.read.ai/meetings) and [our Read.ai comparison](/compare/pavleur-vs-read-ai) | | Query meeting notes from another AI tool | Granola | [Granola MCP](https://www.granola.ai/blog/what-is-mcp-plain-english) and [our Granola comparison](/compare/pavleur-vs-granola) | | Search shared conversations and sync follow-ups | Fathom | [Fathom product information](https://www.fathom.ai/) and [our Fathom comparison](/compare/pavleur-vs-fathom) | | Capture video and review it with a transcript | Fireflies | [Fireflies video capture](https://guide.fireflies.ai/articles/1980499609-how-to-capture-video-for-your-fireflies-meetings) and [our Fireflies comparison](/compare/pavleur-vs-fireflies) | | Manage shared meeting records and access controls | Fellow | [Fellow product information](https://fellow.ai/) and [our Fellow comparison](/compare/pavleur-vs-fellow) | | Turn multiple calls into reports and CRM follow-ups | tl;dv | [tl;dv product information](https://tldv.io/) and [our tl;dv comparison](/compare/pavleur-vs-tldv) | | Get desktop AI help with a selected project document | Pavleur | [Pavleur workflow and plans](/) | These are starting points for a trial, not exclusive categories. Check the feature and capture method on the plan you intend to buy. ## Where Pavleur fits today Pavleur runs on Mac and Windows without sending a participant into your meeting. Its public workflow transcribes microphone and system audio, supports screenshots, and lets you ask for AI assistance. You can attach up to five `.txt`, `.md`, `.pdf` or `.docx` files to a profile. Active document content is limited to 4,000 characters when sent for assistance. Use a concise brief and verify the answer against the source. Selected Markdown notes can come from Obsidian, but this does not connect your vault; public Obsidian sync and GitHub repository connectors are not available. Pavleur Pro is $37.50/month, or $225/year (≈ $18.75/month billed annually); Lifetime is $449 once. Check the [current plans](/#pricing) for included usage. ## When to choose something else If full video replay is essential, evaluate a product and plan that explicitly provides it. Pavleur screen video is currently limited to admin access and should not be assumed part of a public paid subscription. If your requirement is fully offline processing, Pavleur does not meet it. Transcription and AI requests use its backend, including selected context used for assistance. If you need automatic access to a large knowledge workspace, manually attaching a few documents may be too restrictive. Check each candidate's connected sources, permissions and retrieval scope. The word "context" alone does not tell you what it can read. If you only need occasional notes, your meeting platform and a simple document may be sufficient. Test the recurring task before adding another subscription. ## Run a useful comparison Choose one representative meeting and one output someone will actually use. Check that the tool captures the material you need, produces an answer or record you can verify, and makes it available to the right people. Inspect the processing and retention model before supplying sensitive material. For a closer look at chat and analytics, read [Otter vs Read.ai vs Pavleur](/blog/otter-vs-read-vs-pavleur). If selected-document desktop help is the task you need, try Pavleur with a short project brief first. # Source: https://pavleur.com/compare/pavleur-vs-fathom # Pavleur vs Fathom: meeting workflows compared > Compare Fathom with Pavleur desktop transcription and selected document context. Check capture, processing and video availability before choosing. ## How Pavleur compares to Fathom Fathom offers bot-based and botless capture, searchable transcripts, meeting summaries and integrations with work tools. Its [product page](https://www.fathom.ai/) also describes asking questions across past conversations. It is worth evaluating if your main job is turning a meeting archive into shared follow-up work. Pavleur offers desktop transcription and prompt-driven AI help with selected project documents. We make Pavleur. This comparison uses product capabilities and the linked vendor sources checked on **September 25, 2026**; it does not rank transcription accuracy. ## At a glance | Decision | Pavleur | Fathom | | ----------- | ------------------------------------------------------------------------ | --------------------------------------------------------------- | | Capture | Microphone/system-audio transcription on Mac and Windows; no meeting bot | Bot-based and botless options | | Work output | Transcript, screenshots and AI help using selected profile context | Searchable transcripts, summaries and questions across meetings | | Video | Screen video currently limited to admin access | Check supported capture mode and plan on the vendor site | | Pricing | Pro $37.50/month, or $225/year (≈ $18.75/month billed annually); Lifetime $449 once | [Current Fathom information](https://www.fathom.ai/) | ## What to test before choosing Choose a customer call with a clear commitment. Check whether Fathom sends the relevant note to the tool your team already uses. In Pavleur, try asking about the commitment with a short project brief attached to your profile. These tests reveal different kinds of value: delivery into a shared workflow and assistance while you work. ## Pavleur capabilities and limits Pavleur runs on Mac and Windows and provides audio transcription, screenshots and AI assistance. You can manually attach selected `.txt`, `.md`, `.pdf` or `.docx` files to a profile for context. It does not currently offer public Obsidian vault sync or GitHub repository connectors. Screen video recording is limited to admin access. A public paid plan should not be assumed to include full-video capture. Transcription and AI requests, including selected context, use Pavleur's backend; this is not fully offline processing. ## When Fathom may fit better Choose a trial around meeting summaries, shared conversation search and downstream integrations. Verify the needed feature on your intended plan, including who can access the output. Pavleur is worth a separate test if the task is individual desktop assistance with a document you select. ## FAQ ### Does Fathom require a bot? No. Its current product page advertises both bot-based and botless options. Check which mode supports your device and the output you need. ### Does Pavleur record the full meeting video for every user? No. Screen video currently requires admin access. Public audio transcription and screenshots are separate capabilities. ## Explore more For active-meeting AI, see [Pavleur vs Otter](/compare/pavleur-vs-otter) and [Otter vs Read.ai vs Pavleur](/blog/otter-vs-read-vs-pavleur). For meeting notes connected to other assistants, see [Pavleur vs Granola](/compare/pavleur-vs-granola). Review [Pavleur plans](/#pricing) before trying the app on your own work. # Source: https://pavleur.com/compare/pavleur-vs-fellow # Pavleur vs Fellow: meeting workflows compared > Compare Fellow with Pavleur desktop transcription and selected document context. Check capture, processing and video availability before choosing. ## How Pavleur compares to Fellow Fellow offers meeting recording, transcripts, summaries and action items, with bot-based, botless and in-person capture options. Its [product page](https://fellow.ai/) describes organization-level controls for retention and access. Treat it as an AI meeting assistant, not just a place for people to type agendas. Pavleur offers desktop transcription and prompt-driven AI help with selected project documents. We make Pavleur. This comparison uses product capabilities and the linked vendor sources checked on **September 25, 2026**; it does not rank transcription accuracy. ## At a glance | Decision | Pavleur | Fellow | | ----------- | ------------------------------------------------------------------------ | -------------------------------------------------------- | | Capture | Microphone/system-audio transcription on Mac and Windows; no meeting bot | Bot-based, botless and in-person options | | Work output | Transcript, screenshots and AI help using selected profile context | Recordings, transcripts, summaries and action items | | Video | Screen video currently limited to admin access | Check supported capture mode and plan on the vendor site | | Pricing | Pro $37.50/month, or $225/year (≈ $18.75/month billed annually); Lifetime $449 once | [Current Fellow information](https://fellow.ai/) | ## What to test before choosing If your team needs one retention or access policy across many users, ask Fellow to demonstrate the controls on the plan you would buy. If your need is individual desktop help with selected project documents, test that task in Pavleur. A personal assistant and a managed meeting workspace have different acceptance criteria. ## Pavleur capabilities and limits Pavleur runs on Mac and Windows and provides audio transcription, screenshots and AI assistance. You can manually attach selected `.txt`, `.md`, `.pdf` or `.docx` files to a profile for context. It does not currently offer public Obsidian vault sync or GitHub repository connectors. Screen video recording is limited to admin access. A public paid plan should not be assumed to include full-video capture. Transcription and AI requests, including selected context, use Pavleur's backend; this is not fully offline processing. ## When Fellow may fit better Choose a trial around shared meeting records and organization-level access and retention controls. Verify the needed feature on your intended plan, including who can access the output. Pavleur is worth a separate test if the task is individual desktop assistance with a document you select. ## FAQ ### Is Fellow only for manually written meeting notes? No. Fellow documents recording and AI-generated summaries as well as botless capture. Compare the workflow and required controls rather than assuming that people must type everything. ### Does Pavleur record the full meeting video for every user? No. Screen video currently requires admin access. Public audio transcription and screenshots are separate capabilities. ## Explore more For active-meeting AI, see [Pavleur vs Otter](/compare/pavleur-vs-otter) and [Otter vs Read.ai vs Pavleur](/blog/otter-vs-read-vs-pavleur). For meeting notes connected to other assistants, see [Pavleur vs Granola](/compare/pavleur-vs-granola). Review [Pavleur plans](/#pricing) before trying the app on your own work. # Source: https://pavleur.com/compare/pavleur-vs-fireflies # Pavleur vs Fireflies: meeting workflows compared > Compare Fireflies with Pavleur desktop transcription and selected document context. Check capture, processing and video availability before choosing. ## How Pavleur compares to Fireflies Fireflies combines meeting transcription with summaries and integrations. Its [video-capture documentation](https://guide.fireflies.ai/articles/1980499609-how-to-capture-video-for-your-fireflies-meetings) also describes replay with video, audio and transcript. Video is therefore not a capability unique to Pavleur. Pavleur offers desktop transcription and prompt-driven AI help with selected project documents. We make Pavleur. This comparison uses product capabilities and the linked vendor sources checked on **September 25, 2026**; it does not rank transcription accuracy. ## At a glance | Decision | Pavleur | Fireflies | | ----------- | ------------------------------------------------------------------------ | --------------------------------------------------------------------- | | Capture | Microphone/system-audio transcription on Mac and Windows; no meeting bot | See supported recording methods on [Fireflies](https://fireflies.ai/) | | Work output | Transcript, screenshots and AI help using selected profile context | Transcripts, summaries and video replay where supported | | Video | Screen video currently limited to admin access | Check supported capture mode and plan on the vendor site | | Pricing | Pro $37.50/month, or $225/year (≈ $18.75/month billed annually); Lifetime $449 once | [Current Fireflies information](https://fireflies.ai/) | ## What to test before choosing If replay is essential, verify the Fireflies capture mode and plan on a representative call before moving your workflow. Check that the part of the demo you need is actually visible afterward. For Pavleur, test a screenshot and a question about selected project context; do not use a full-video requirement to evaluate a public app that does not yet offer general video access. ## Pavleur capabilities and limits Pavleur runs on Mac and Windows and provides audio transcription, screenshots and AI assistance. You can manually attach selected `.txt`, `.md`, `.pdf` or `.docx` files to a profile for context. It does not currently offer public Obsidian vault sync or GitHub repository connectors. Screen video recording is limited to admin access. A public paid plan should not be assumed to include full-video capture. Transcription and AI requests, including selected context, use Pavleur's backend; this is not fully offline processing. ## When Fireflies may fit better Choose a trial around meeting replay and notes connected to other work tools. Verify the needed feature on your intended plan, including who can access the output. Pavleur is worth a separate test if the task is individual desktop assistance with a document you select. ## FAQ ### Does Fireflies support video? Yes. Fireflies documents video capture and synchronized replay. Verify availability for your chosen plan and meeting setup in its linked documentation. ### Does Pavleur record the full meeting video for every user? No. Screen video currently requires admin access. Public audio transcription and screenshots are separate capabilities. ## Explore more For active-meeting AI, see [Pavleur vs Otter](/compare/pavleur-vs-otter) and [Otter vs Read.ai vs Pavleur](/blog/otter-vs-read-vs-pavleur). For meeting notes connected to other assistants, see [Pavleur vs Granola](/compare/pavleur-vs-granola). Review [Pavleur plans](/#pricing) before trying the app on your own work. # Source: https://pavleur.com/compare/pavleur-vs-otter # Pavleur vs Otter: desktop assistance and meeting AI > Compare Otter AI Chat with Pavleur desktop transcription and selected document context. Understand video access, server processing and plan limits. ## How Pavleur compares to Otter An Otter alternative should solve a specific problem in your workflow. Pavleur is worth trying if you want desktop transcription and AI help with a short project brief you choose yourself. Otter is worth evaluating when the answer you need is in your meeting archive. We make Pavleur. This comparison uses current product capabilities and linked vendor documentation checked on **September 25, 2026**. We have not run a comparative transcription benchmark. ## At a glance | Decision | Pavleur | Otter | | ------------------ | ------------------------------------------------------------------------------------- | ------------------------------------------------------------------ | | In-meeting help | Prompt-driven AI assistance with transcript, screenshots and selected profile context | AI Chat Express for the active meeting | | Additional context | Supported files manually attached to a profile | Advanced AI Chat can search past meetings and visual content | | Video | Screen recording limited to admin access | Supported meeting-platform videos can be attached to conversations | | Pricing | Pro $37.50/month, or $225/year (≈ $18.75/month billed annually); Lifetime $449 once | [Current Otter plans](https://otter.ai/pricing) | Otter documents [Express and Advanced chat modes](https://help.otter.ai/hc/en-us/articles/35234602608919-Advanced-Otter-AI-Chat-Modes) and [video attachments](https://help.otter.ai/hc/en-us/articles/21747814220311-Add-videos-to-your-conversation). Check the plan and recording method that match your needs. ## What to test in Pavleur Start with one call that usually sends you searching for a project note. Pavleur runs on Mac and Windows, transcribes microphone and system audio, and lets you ask for AI help without a Pavleur participant joining the meeting. Attach a concise brief to your active profile before the call. Supported files are `.txt`, `.md`, `.pdf` and `.docx`, with up to five attachments per profile. Active document content is limited to 4,000 characters when sent for AI help. A short, relevant brief is a better test than a large export whose essential details may fall outside that limit. For example, you might ask how a new requirement affects the constraints in your brief. Check the answer against the source yourself. This is an evaluation exercise, not a claim that Pavleur automatically detects contradictions or learns every recurring meeting. ## Where Otter may fit better If your team already has a useful meeting archive, test whether Otter answers your recurring questions from it. Its [plan comparison](https://otter.ai/pricing) lists transcription allowances and integrations, which may matter more to you than a desktop assistant with selected files. AI help during a call is not a reason on its own to switch: Otter offers that too. Nor should you assume every Otter workflow requires a bot. Check its available capture options against your devices and meeting setup. ## Limits to know before choosing Pavleur Public Pavleur use includes audio transcription and screenshots. Screen video is currently limited to admin access, so do not rely on a paid subscription alone to capture a full video record. Selected profile context, transcription and AI requests use Pavleur's backend. Local capture does not mean fully offline processing. Obsidian notes can be attached as selected Markdown files, but public Obsidian vault sync and GitHub repository connectors are not available. ## FAQ ### Is Pavleur an Otter alternative? Yes, if the job you want to evaluate is desktop transcription and AI assistance with selected documents. Check the actual capture and sharing workflow before migrating your meeting history. ### Does Otter only produce notes after a meeting? No. Otter documents active-meeting AI Chat. Compare the quality and relevance of answers on your own work rather than relying on that distinction. ### Can Pavleur record the entire screen video? That feature currently requires admin access. The public app's screenshots and audio transcription should not be confused with full video recording. ## Explore more Read the [Otter vs Read.ai vs Pavleur comparison](/blog/otter-vs-read-vs-pavleur) if meeting analytics also matter. For another approach to meeting context, see [Pavleur vs Granola](/compare/pavleur-vs-granola). Review [Pavleur plans](/#pricing) before trying the app on a representative call. # Source: https://pavleur.com/compare/pavleur-vs-tldv # Pavleur vs tl;dv: meeting workflows compared > Compare tl;dv with Pavleur desktop transcription and selected document context. Check capture, processing and video availability before choosing. ## How Pavleur compares to tl;dv tl;dv offers meeting recording and transcription, summaries, reports across meetings and CRM follow-up workflows. Its [product page](https://tldv.io/) describes support for Zoom, Google Meet and Microsoft Teams. Consider it when the main job is getting meeting outcomes into a shared process. Pavleur offers desktop transcription and prompt-driven AI help with selected project documents. We make Pavleur. This comparison uses product capabilities and the linked vendor sources checked on **September 25, 2026**; it does not rank transcription accuracy. ## At a glance | Decision | Pavleur | tl;dv | | ----------- | ------------------------------------------------------------------------ | ------------------------------------------------------------ | | Capture | Microphone/system-audio transcription on Mac and Windows; no meeting bot | Recording for supported meeting platforms | | Work output | Transcript, screenshots and AI help using selected profile context | Transcripts, summaries, multi-meeting reports and follow-ups | | Video | Screen video currently limited to admin access | Check supported capture mode and plan on the vendor site | | Pricing | Pro $37.50/month, or $225/year (≈ $18.75/month billed annually); Lifetime $449 once | [Current tl;dv information](https://tldv.io/) | ## What to test before choosing Start with the follow-up task that currently costs you time. If it is moving call notes into a CRM or comparing several customer conversations, test the matching tl;dv workflow. If it is answering a question while you are on your desktop with a project brief open, try that task in Pavleur. Check the actual result rather than counting features. ## Pavleur capabilities and limits Pavleur runs on Mac and Windows and provides audio transcription, screenshots and AI assistance. You can manually attach selected `.txt`, `.md`, `.pdf` or `.docx` files to a profile for context. It does not currently offer public Obsidian vault sync or GitHub repository connectors. Screen video recording is limited to admin access. A public paid plan should not be assumed to include full-video capture. Transcription and AI requests, including selected context, use Pavleur's backend; this is not fully offline processing. ## When tl;dv may fit better Choose a trial around meeting recordings, reports across calls and CRM follow-up workflows. Verify the needed feature on your intended plan, including who can access the output. Pavleur is worth a separate test if the task is individual desktop assistance with a document you select. ## FAQ ### Is tl;dv limited to individual meeting clips? No. Its product page also describes reports across meetings and CRM workflows. Those may matter more than clipping if your team needs follow-up work to reach an existing system. ### Does Pavleur record the full meeting video for every user? No. Screen video currently requires admin access. Public audio transcription and screenshots are separate capabilities. ## Explore more For active-meeting AI, see [Pavleur vs Otter](/compare/pavleur-vs-otter) and [Otter vs Read.ai vs Pavleur](/blog/otter-vs-read-vs-pavleur). For meeting notes connected to other assistants, see [Pavleur vs Granola](/compare/pavleur-vs-granola). Review [Pavleur plans](/#pricing) before trying the app on your own work. # Source: https://pavleur.com/meeting-templates/customer-discovery-call-template # Customer Discovery Call Template for Better Product Interviews > A practical customer discovery agenda for testing a hypothesis, walking through the current workflow, probing willingness to pay, and preserving exact evidence. ## Discovery calls are for evidence, not approval Customer discovery goes wrong when the interviewer needs the idea to be right. Questions become leading, vague encouragement sounds like demand, and the call ends with a list of features the participant says they might use someday. A useful discovery call starts with one hypothesis and looks for evidence that could confirm or weaken it. The participant describes the last time the problem occurred, shows the current workflow, explains what they tried, and names what the problem costs. The interviewer spends less time explaining and more time following specific details. The agenda below is a guide, not a script. Follow an unexpected answer when it reveals real behavior, then return to the sections needed to compare this interview with the others. ## The agenda (copy-paste this) **Duration:** 45–60 minutes **Format:** One interviewer leads; one person owns follow-up questions; avoid presenting the product until the research portion is complete --- **Section 1 — Goal and hypothesis (before the call)** - Research goal: what decision will this interview inform? - Hypothesis: "We believe [person] struggles to [job] because [cause], resulting in [cost or consequence]." - Evidence that would support the hypothesis: - Evidence that would weaken it: - One topic this call will not try to answer: **Section 2 — Warm-up (5 min)** - Tell me about your role and what you are responsible for - How does this area of work fit into a normal week? - Who else is involved when this work happens? **Section 3 — Problem exploration (10–15 min)** - Tell me about the last time this problem happened - What triggered it? - What did you do first, and what happened next? - Where did you lose time, confidence, money, or control? - How often does this happen? - Who else feels the consequence? - What happens if you leave it unchanged for six months? - What have you tried, and why did that fall short? **Section 4 — Current-workflow walkthrough (10–15 min)** - Please share your screen and walk me through the real workflow from start to finish - Which tools, documents, handoffs, and workarounds are involved? - Where do you switch context or copy information by hand? - Which step needs judgment, approval, or help from someone else? - Show me the artifact you use today, if it is safe to share - What did you leave out because it feels too obvious or messy to explain? **Section 5 — Magic-wand question (5 min)** - If you could change one part of this workflow tomorrow, what would change? - What would become possible after that change? - What must stay the same? - How would you know the new workflow was better? **Section 6 — Willingness-to-pay probes (5–10 min)** - What does this problem cost today in time, lost revenue, risk, or outside services? - Have you paid for a tool, contractor, or internal project to address it? - Who owns the budget for solving it? - What would need to be true for this to become a funded priority? - What competing priority would this displace? - What buying, security, or implementation step would slow a decision? **Section 7 — Wrap-up and next step (5 min)** - Summarize what you heard and ask the participant to correct it - Ask permission for one follow-up question by email - Agree on any artifact, introduction, or second interview they offered - Owner and date for each follow-up: - Would a later concept review be useful? Yes / No / Maybe, and why **Note-capture table** | Moment or question | Exact quote | Observed behavior or artifact | Interpretation to test | Follow-up | | ------------------ | ----------- | ----------------------------- | ---------------------- | --------- | | | | | | | | | | | | | | | | | | | | | | | | | --- ## What generic discovery templates miss Generic interview guides often provide a long question bank without saying what evidence each question should produce. The interviewer races through prompts, the participant answers in generalities, and the notes contain opinions instead of a recent example that another researcher can examine. The second problem is mixing observation with interpretation. "Their handoff takes 30 minutes" may be an exact quote, a timed observation, or the researcher's guess. Those sources carry different weight. A note-capture table keeps the participant's words, visible evidence, and the team's interpretation separate. Many templates also ask "Would you pay for this?" and accept yes as pricing evidence. A polite answer costs the participant nothing. Current spending, the cost of the problem, budget ownership, urgency, and a concrete buying process reveal more than a hypothetical purchase promise. Finally, the current-workflow walkthrough is usually optional. It should be central. Watching someone navigate three tools and a spreadsheet can contradict ten minutes of polished explanation, and that contradiction is often the most useful finding in the call. ## How Pavleur handles this Pavleur records the conversation while the interviewer stays present. The interviewer can maintain eye contact, listen for contradictions, and ask a precise follow-up instead of trying to type every sentence before the participant moves on. Exact quotes remain retrievable from the transcript, so the research team can check the words behind a summary before turning a pattern into a product decision. When the participant shares their current workflow, Pavleur preserves screenshots with the surrounding discussion. The spreadsheet, dashboard, or sequence of tools remains part of the evidence instead of becoming "participant showed process" in the notes. The resulting report gives the team a reviewable call record while the note-capture table keeps interpretation explicit. See [Pavleur for product managers](/for/product-managers) or [compare meeting capture options](/compare). ## Related templates - Carry validated needs into a live opportunity with the [sales call notes template](/meeting-templates/sales-call-notes-template). - Revisit customer goals and evidence over time with the [quarterly business review template](/meeting-templates/quarterly-business-review-template). - Align the team once discovery becomes a project with the [project kickoff agenda](/meeting-templates/project-kickoff-agenda). # Source: https://pavleur.com/meeting-templates/quarterly-business-review-template # Quarterly Business Review Template for Customer Success Teams > A practical QBR agenda for connecting usage to value, reviewing goals and outcomes, discussing roadmap and risk, finding expansion opportunities, and assigning next steps. ## A QBR is not a quarterly status deck The weakest QBRs are presentations about the vendor. The account team reads usage charts, previews a roadmap, adds an expansion slide, and leaves five minutes for the customer to speak. Everyone is polite, but nobody learns whether the product created value or what could put the renewal at risk. A useful QBR is a working session about the customer's business. Usage is evidence, not the outcome. The agenda connects activity to the goals both sides set, surfaces blockers before they become renewal surprises, and agrees on the few actions that matter next quarter. Send the recap data and proposed agenda in advance. The live meeting should resolve differences, make decisions, and assign work rather than reveal a dense deck one slide at a time. ## The agenda (copy-paste this) **Duration:** 60 minutes **Format:** Account owner facilitates; customer sponsor and day-to-day owner attend; pre-read sent at least two business days before the meeting --- **Before the call — Account context** - Quarter and review period: - Customer participants and roles: - Original business goals and success measures: - Renewal date, account stage, and open commercial items: - Decisions needed from this QBR: **Section 1 — Usage and value recap (10–15 min)** - What changed in usage this quarter: adoption, frequency, breadth, and depth - Which teams or workflows adopted the product? Which did not? - What value did the customer observe: time saved, revenue supported, risk reduced, or work avoided? - Evidence behind each value claim: metric, example, or customer quote - What result surprised either side? - Confirm which outcomes the customer agrees are real **Section 2 — Goals versus outcomes (10 min)** | Goal set for the quarter | Target | Actual outcome | Evidence | Status and explanation | | ------------------------ | ------ | -------------- | -------- | ---------------------- | | | | | | | | | | | | | | | | | | | - Which goal still matters next quarter? - Which goal changed, and why? - What did both teams learn from a missed target? **Section 3 — Roadmap preview (10 min)** - Preview only the roadmap items relevant to the customer's goals or blockers - Explain the problem each item addresses before showing the feature - Separate committed work from exploratory direction - Ask where the proposed direction fits or conflicts with the customer's plans - Record product feedback and the owner who will route it internally **Section 4 — Risks and blockers (10 min)** - Adoption gaps: who is not using the product and why? - Operational or technical blockers: - Stakeholder, budget, security, or procurement risks: - Unresolved support or trust issues: - What could prevent renewal or the next value milestone? - Owner, mitigation, and review date for each material risk **Section 5 — Expansion opportunities (10 min)** - Which established customer goal would broader use support? - Is another team facing the same proven problem? - What additional workflow, seat group, or capability would create measurable value? - What evidence is still needed before discussing scope or price? - Who would evaluate and approve an expansion? - Agree on discovery as the next step; do not force a commercial decision into the QBR **Section 6 — Action items and close (5 min)** | Action item or decision | Owner | Due date | Success signal | | ----------------------- | ----- | -------- | -------------- | | | | | | | | | | | | | | | | - Restate the top outcome for next quarter - Confirm the next operating check-in and next QBR date - Name who receives the recap and when --- ## What generic QBR templates miss Most QBR templates give usage metrics a large section and value a small text box. That order encourages the account team to treat logins, seats, and feature clicks as the result. A customer can use a product every day and still miss the business outcome that justified buying it. Roadmap sections create a second trap. A long list of planned features turns the QBR into a product launch and invites the customer to hear every preview as a delivery commitment. A focused roadmap discussion starts with the customer's goals, distinguishes committed work from direction, and records feedback without inventing dates. Expansion often appears as an unrelated slide near the end. That makes a strategic review feel like a disguised upsell. An expansion opportunity belongs in the QBR only when it follows from a goal, proven value, or blocker already discussed. If more discovery is needed, discovery is the next step. The final gap is continuity. A quarterly deck rarely contains the small decisions, risks, and promises made across the previous twelve weeks of calls. Without that history, the account team presents a clean narrative and misses the unresolved issue the customer has raised three times. ## How Pavleur handles this Pavleur makes the quarter's calls searchable, so the account team can prepare from the actual history instead of reconstructing it from scattered notes. They can find repeated blockers, value statements, product requests, and commitments across onboarding, support, and check-in calls before building the QBR. Slides shared during the review are attached automatically to the meeting record. The report keeps each chart or roadmap slide with the discussion that gave it meaning. Pavleur also extracts decisions and action items with owners, giving both teams a concrete follow-up record instead of another deck stored without its conversation. The result is a QBR grounded in the full customer relationship and a clean starting point for the next quarter. See [Pavleur for customer success](/for/customer-success) or [compare meeting capture options](/compare). ## Related templates - Preserve the commercial history before handoff with the [sales call notes template](/meeting-templates/sales-call-notes-template). - Investigate a new workflow or unmet need with the [customer discovery call template](/meeting-templates/customer-discovery-call-template). - Start a new customer initiative with the [project kickoff agenda](/meeting-templates/project-kickoff-agenda).