A Granola alternative for the meetings that already happened.
Granola sits on your Mac and listens to the meeting in front of you. Whipscribe never joins a call — it takes recordings you already have and turns them into transcripts you can search, chapter, quote and query. If your problem is the next meeting, Granola. If your problem is the last two hundred, keep reading.
Read this part first
If you want notes while the meeting is happening, use Granola.
We are not going to pretend otherwise. Granola is a live tool: it runs on the machine in front of you, listens as people talk, and hands you a written record the moment the call ends. Whipscribe does none of that. There is no desktop app, nothing listening to your microphone, and no bot that joins your Zoom.
That concession is the whole reason this page is worth reading. The two products barely overlap, so the honest question is not “which is better” — it is which half of the problem you currently have. Live capture is one half. The other half is every recording that already exists and that nobody can search.
exists
or paste URL
+ chapters
every line
timestamp
The wedge
You have 200 recorded calls and no way to search them.
This is the situation a live notetaker cannot fix, because it only ever covers meetings from the day you installed it onwards. Everything before that — and everything that was never a calendar meeting at all — stays a wall of MP4s.
Search every line, not the filename
Type a phrase and get every line that contains it, each with its timestamp, so you judge relevance before you jump. Search ignores accents and case — typing codigo finds código, which matters the moment your calls are not all in English.
Chapters instead of a wall of text
A 90-minute call arrives split into chapters, so you can see the shape of the conversation before reading a word of it. Combined with speaker labels, you can tell who steered which part of the discussion.
Ask it questions, click the answer
Ask what a customer objected to, or which competitor came up, and get an answer grounded only in that transcript. Every citation in the answer is a link: click it and the transcript jumps to that line and the audio plays from it, so you verify before you quote.
Made for volume, not for one call
The REST API and the MCP server both take work in bulk — transcribe_urls_batch accepts a list of links in a single call, and /batch shows per-file progress while it churns. Point it at a folder of recordings and go do something else.
Side by side
Capability differences, not a scorecard.
Only Whipscribe's column is a claim we can stand behind — we have described Granola by what it is built to do rather than guessing at its feature list or prices. Check granola.ai for anything on their side that matters to your decision.
| Capability | Whipscribe | Granola |
|---|---|---|
| Shape of the product | Hosted async transcription of recordings you already have | Live meeting notepad running on your Mac |
| Listens during the meeting | No — nothing runs on your machine | Yes, that is the point of it |
| Bot joins the call | No | No — it listens locally instead |
| Works on last quarter's recordings | Yes — that is the primary use | Built for meetings as they happen |
| Non-meeting audio (podcasts, webinars, lectures, YouTube) | Yes — file, URL or RSS | Meeting-shaped |
| Speaker labels | Yes, with word-level timestamps | Not documented as a capability we can verify |
| Chapters on long recordings | Yes | — |
| Full-text transcript search, accent-insensitive | Yes | — |
| Answers that link to a clickable timestamp | Yes | — |
| Exports | TXT, SRT, VTT, DOCX, JSON | — |
| Public REST API | Yes — documented at /docs, keys by request | — |
| MCP server for Claude and other agents | Yes — whipscribe.com/mcp | — |
| Chrome extension | Yes — grabs audio from the tab you are on | macOS app |
| Where transcription runs | Our own GPUs, open-source Whisper, never used to train a model | See their privacy documentation |
| Languages | 100+, auto-detected | See their documentation |
Where each tool wins
Honest call.
Most teams that end up on this page should run both, and the split is clean: one covers the calendar, the other covers the archive.
GranolaLive, on your Mac
- Notes written while the meeting is still happening
- Nothing to remember to do afterwards
- No visible bot in the participant list
- Your own rough notes, cleaned up
- The single next call on your calendar
- Recordings made before you installed it
- Audio you were sent rather than attended
- Podcasts, webinars, lectures, interviews
- Machine-readable pipelines over a whole archive
Whipscribe$24 / 5,000 min
- Backlogs — hundreds of files, one submission
- Multi-hour recordings, up to 10 hours per file
- Speaker labels plus word-level timestamps
- Chapters, search, and citations you can click
- REST API, MCP server, Chrome extension
- Runs on our own GPUs, never trains on your audio
- Live notes during a call (Granola wins)
- On-device capture with no upload (Granola wins)
- Zero-effort capture with nothing to remember (Granola wins)
Worked example
What clearing a real backlog costs.
Credits are metered per minute of audio, so archive work prices out predictably instead of per seat per month.
A quarter of sales calls
100 calls averaging 38 minutes is 3,800 minutes. That fits inside one $24 pack of 5,000 minutes — roughly $0.29 an hour — with 1,200 minutes left for whatever turns up next month.
A year of customer research
30 interviews at 45 minutes is 1,350 minutes, comfortably inside the $12 pack of 2,000 minutes (about 33 hours). Speaker labels matter more here than anywhere — you need to know which voice was the customer.
Two years of everything
200 calls averaging 42 minutes is 8,400 minutes, so two $24 packs — $48 for 140 hours of audio. Credits do not expire, so clearing it over three months costs exactly what clearing it in a weekend does.
Just testing the idea
Packs from $4, credits never expire. Preview any transcript instantly with no signup; a pack from $4 opens the full transcript. Run one real recording through it, look at the speaker labels and the chapters, and decide from evidence rather than from this page.
Pricing
Three packs and a one-off unlock, no subscription.
Packs from $4, credits never expire. After that, every pack is a one-time purchase and credits never expire — you buy minutes, you spend minutes.
Unlock
$2/transcript
Opens one transcript in full. Adds no credit.
- One transcript, read in full
- Speaker labels + chapters
- No minutes added to your balance
Starter
$8/1,000 min
About 16 hours — a stack of long calls.
- 1,000 minutes of audio
- Transcript search + Ask AI
- All export formats
Pro
$12/2,000 min
About 33 hours — roughly $0.36 an hour.
- 2,000 minutes of audio
- Priority queue
- Chapters, search, timestamped answers
Team
$24/5,000 min
About 83 hours — roughly $0.29 an hour. The backlog tier.
- 5,000 minutes of audio
- API access for batch pipelines
- MCP server for Claude and other agents
FAQ
Granola vs Whipscribe questions.
Is Whipscribe a drop-in replacement for Granola?
No, and it would be dishonest to sell it as one. Granola runs on your Mac and listens while the meeting happens. Whipscribe never sits in a live call — it takes a recording that already exists and turns it into a searchable transcript. If your problem is notes during the call, Granola is the better fit.
So what is Whipscribe actually for?
The backlog. The Zoom cloud recordings from last quarter, thirty customer interviews, a year of all-hands, the conference sessions someone exported to Drive and nobody has opened since. Whipscribe transcribes them with speaker labels, splits them into chapters, and lets you search every line and ask questions whose answers link back to a clickable timestamp.
Can it handle a three-hour recording?
Yes. Files can run up to 10 hours or 5 GB each, so multi-hour recordings are the normal case. Before you buy credits, files can run up to 3 hours; longer files need credits. The box on this page takes files up to 500 MB, and larger files continue on the upload page. Timestamps run the whole way through, and chapters give you an outline rather than one undifferentiated wall of text.
What does a real archive cost to transcribe?
Credits are metered per minute of audio. 100 calls averaging 38 minutes is 3,800 minutes, which fits inside one $24 pack of 5,000 minutes — about $0.29 an hour. Packs from $4, credits never expire. After that there is no subscription, and credits do not expire, so a backlog you clear over three months costs the same as one you clear in a weekend.
Do I need a Mac?
No. Whipscribe runs in the browser on any OS. There is also a Chrome extension for grabbing audio from the tab you are already on, and a REST API plus an MCP server if you would rather never open the UI.
Is my audio used to train a model?
No. Whipscribe runs open-source Whisper on our own GPUs. Your audio is not sent to a third-party transcription service and is never used to train a model. Keys are self-serve: sign in, add credit, and create one at /apis/keys. The API has no free tier — a key needs a positive balance ($50 minimum, spendable on transcription).
Related
Related comparisons.
Granola covers your next meeting. We cover the last two hundred.
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