Comparison
A free Otter.ai alternative that never uploads your audio
Our transcriber downloads OpenAI's Whisper model to your browser and runs it on your machine. The recording is never uploaded, there is no account, no monthly minute allowance, and no per-conversation time limit. For a confidential interview, a therapy session, a legal call or a medical recording, that is a category difference: the audio simply never exists on anyone else's server.
But Otter.ai is a much more capable product than we are, and it is not close. We run Whisper base, the small end of the family. Otter is almost certainly running something far larger, and it has speaker labels, live transcription, meeting bots and an entire collaboration layer that we do not have in any form.
Competitor details were read from their own public pages on 2026-07-31. Prices and free-tier limits change often — check theirs before you decide.
| What matters | BrowseryTools | Otter.ai |
|---|---|---|
| Where your audio goes | Nowhere. The Whisper model is downloaded to your browser on first use and the audio is decoded and transcribed on your own machine. Nothing is uploaded and nothing is stored anywhere.Edge: BrowseryTools | Uploaded and processed in their cloud. They state data is stored in AWS S3 in a US West region with server-side AES-256 encryption, that they hold SOC 2 Type 2, and that conversations are deleted from the trash after 30 days. |
| Transcription accuracy | Whisper base — the small end of the family. Expect more errors on strong accents, background noise, crosstalk, proper nouns and technical vocabulary. We publish no accuracy figure and have not benchmarked this. | A hosted commercial pipeline. They publish no accuracy percentage either, so neither of us has a number to quote — but running the small checkpoint locally is a real handicap and we would not bet against them.Edge: Otter.ai |
| Speaker labels | None at all. Overlapping speakers come out as one undifferentiated stream of text, which makes a multi-person meeting recording much less useful. | Speaker identification is a core feature of the product.Edge: Otter.ai |
| How much you can transcribe | No monthly allowance, no per-file cap and no import counter. The real ceiling is your machine: the whole file is decoded into memory before transcription starts, so long recordings can exhaust the tab.Edge: BrowseryTools | The free Basic plan is 300 transcription minutes a month, a 30-minute cap per conversation, and 3 lifetime audio or video file imports. Paid plans raise those to 1,200 minutes with a 90-minute cap, or unlimited minutes with a 4-hour cap. |
| Live meetings | Nothing. There is no live transcription, no meeting bot, no calendar integration. You record the meeting yourself and transcribe the file afterwards. | Live real-time transcription and a meeting assistant that joins Zoom, Microsoft Teams and Google Meet calls.Edge: Otter.ai |
| After the transcript exists | You get SRT, VTT and plain text to copy or download, and that is the end of it. No search across past transcripts, no comments, no sharing, no summaries. | AI chat over your meetings, team workspaces, admin controls with activity logs and usage analytics, custom team vocabulary, API and webhooks, and SSO with SCIM on the enterprise tier.Edge: Otter.ai |
| Cost | Free, with no account and no seat.Edge: BrowseryTools | A free Basic tier, then Pro at $16.99 per user per month billed monthly or $8.33 billed annually, Business at $30 per user per month billed monthly or $19.99 billed annually, and custom Enterprise pricing. (Read from their pricing page on the date shown above.) |
| Languages | The multilingual Whisper base checkpoint, which nominally covers far more languages than six. The caveats are real though: at base size the accuracy in those languages is materially worse than a large checkpoint, there is no language selector, and there is no translate mode — Whisper detects the language itself and you cannot override it if it guesses wrong. | They publish support for English, Spanish, French, German, Japanese and Chinese (Simplified).Depends on the job |
Where Otter.ai is genuinely better
- Model quality. We run Whisper base because it has to download to a browser and run on whatever hardware you have. A hosted service has no such constraint. On clean single-speaker audio the gap narrows; on a noisy four-person meeting with accents and jargon it is not a close contest, and pretending otherwise would waste your time.
- Speaker diarisation. This is not a nice-to-have for meeting notes — a transcript that cannot tell you who said what is a different and much weaker artifact. We have no speaker labels of any kind and overlapping speech comes out as one undifferentiated stream.
- Live transcription and meeting bots. Otter can join a Zoom, Teams or Google Meet call and transcribe as it happens. We require you to already have a recorded file, which means you have to have thought about it in advance.
- Everything that happens after the transcript. Search across every meeting you have ever had, AI chat over those meetings, shared team workspaces, comments, custom vocabulary for your product and people names. We hand you an SRT file.
- Administration and compliance. SOC 2 Type 2, admin activity logs and usage analytics, SSO and SCIM on the enterprise tier. If your employer needs to govern where meeting recordings live and who can see them, an unmanaged browser tool is not an answer to that question.
- It just works while you do something else. Ours decodes the entire file into memory, gives no progress indicator during transcription, has no cancel button, and on a browser without WebGPU can run slower than real time — meaning an hour of audio can take more than an hour of your laptop being busy.
Where our tools fall short
- It runs Whisper base, the small end of the family. A hosted API is almost certainly running something far larger, and the difference shows: expect more errors on strong accents, background noise, crosstalk, proper nouns and technical vocabulary. There are no speaker labels — overlapping speakers come out as one undifferentiated stream of text.
- The first run downloads the model from a CDN. Your audio is not uploaded, but the tool is not usable until those files are cached, and on a slow connection the wait before transcription even starts is real.
- Speed depends entirely on your hardware. On a browser with WebGPU it is reasonably quick; falling back to WebAssembly can be slower than real time, meaning an hour of audio can take more than an hour. There is no progress indicator during transcription itself and no way to cancel — only the model download shows progress.
- The whole file is decoded into memory before transcription starts, so long recordings can exhaust the tab on a modest machine. There is also no language selector and no translate mode — Whisper detects the language itself and you cannot override it — and the segment timestamps are approximate, so subtitles usually need a nudge in a subtitle editor before use.
Which one should you use?
Use ours when the recording is one you should not upload. A confidential interview, a source who was promised anonymity, a therapy or medical session, a privileged legal call, an internal investigation. In those cases the accuracy gap is the price of the audio never existing on someone else's infrastructure, and it is usually the right trade. It also helps that there is no 300-minute monthly ceiling and no 30-minute cap per file.
Use Otter.ai for meetings. Speaker labels, live transcription, a bot that joins the call, and search across everything you have ever recorded are the actual job of meeting notes, and we have none of them. If your work is meetings, we are not a substitute and this page is not trying to convince you otherwise.
A practical middle path: record the meeting yourself, transcribe it with our tool, and accept that you will be adding the speaker names by hand.
The tools this compares
Frequently asked questions
Is there a free alternative to Otter.ai that doesn't upload my recording?
Yes. Our transcriber downloads Whisper to your browser and runs it on your own machine, so the audio is never uploaded. There is no account, no monthly minute allowance and no per-file time limit. The trade-off is that we run the small base model with no speaker labels.
How accurate is it compared to Otter?
We are not going to quote a number, because neither we nor Otter publish a benchmark and inventing one would be dishonest. What we can tell you is architectural: we run Whisper base, the small end of the family, chosen so it can download to a browser and run on ordinary hardware. Expect more errors on accents, background noise, crosstalk and technical vocabulary than a hosted service.
Does it identify who is speaking?
No. There is no diarisation at all. Overlapping speakers come out as one continuous stream of text, so a multi-person meeting recording is much less useful than it would be from Otter.
Is there a monthly minute limit?
No. There is no allowance and no counter. The practical limit is your hardware — the whole file is decoded into memory first, and on a browser without WebGPU transcription can run slower than real time.
Can it transcribe a live meeting?
No. There is no live mode and no meeting bot. You need a recorded file. If live meeting capture is what you need, that is exactly what Otter is built for.
Are you affiliated with Otter.ai?
No. This is an independent comparison written from their own publicly published pages on the date shown above. We are not affiliated with, sponsored by, or endorsed by them.
Other comparisons
Sources
Otter.ai is a trademark of its owner. This is an independent comparison. We are not affiliated with, sponsored by, or endorsed by them.