Otter.ai alternatives: 7 transcription tools compared
2026-07-25
Otter.ai's free plan allows exactly 3 file imports — not per month, in total, for the lifetime of the account. Its 300 free monthly minutes are capped at 30 minutes per conversation, and the Pro plan that lifts those limits costs $16.99 a month ($8.33 billed annually) and still allows only 10 file imports a month. If you arrived at Otter with a folder of recordings rather than a calendar full of meetings, those numbers are why you are reading an alternatives list. This one compares 7 options by the thing that actually separates them: whether you need a bot in your live meetings, or a transcript of files you already have.
The one question that picks your tool
Every tool on this list transcribes speech and labels speakers. What splits them is the input. Meeting assistants (Otter, Fireflies, Notta) join your calls live, which means calendar access, an account, and a bot participant your counterparts can see. File transcribers (WhoSayAh, Rev, Descript) take a recording you already have — an interview on your phone, a webinar download, a podcast episode — and give you text back.
Meeting assistants are consistently weak at file upload because it is not their business model: they monetise recurring meetings, so imports are throttled hard on free tiers. If your work is upload-shaped, pick from the file transcribers and skip the meeting bots entirely.
The 7 alternatives at a glance
| Tool | Best for | Free tier | Paid from | Account required |
|---|---|---|---|---|
| WhoSayAh | Uploading files, speaker labels | Full tool, 100 MB / 60 min per file | — | No |
| Fireflies.ai | Live meeting bot for teams | Limited transcription credits | $10/user/mo (annual) | Yes |
| Notta | Meetings, Asian-language focus | 120 min/mo, 3 min per recording | ~$9/mo (annual) | Yes |
| Rev | Guaranteed accuracy via humans | Trial only | $0.25/min AI, $1.99/min human | Yes |
| Descript | Editing audio/video by editing text | 1 hour/mo transcription | ~$16/mo (annual) | Yes |
| Zoom / Google Meet built-ins | Meetings you host on a paid plan | Included in paid workspace plans | Part of the suite | Workspace account |
| Self-hosted (FastoCloud) | NDA / data-residency material | — | Your own hardware | Your own system |
For uploaded files: WhoSayAh
WhoSayAh is built for exactly the case Otter's free plan blocks: you have a recording, you want a transcript with speaker labels, and you do not want to create an account to get it. Drop an audio or video file (mp3, m4a, wav, ogg, opus, flac, aac, mp4, mov, mkv, webm) on the home page, choose the language or let it auto-detect, tell it how many people were speaking, and read the lines as they arrive. Files up to 100 MB and 60 minutes are free — not free-trial free, free.
Speakers come back as Speaker 1, Speaker 2, which you can rename in one step
before downloading the result as .txt for notes or .vtt for use as a
subtitle track. The uploaded file is deleted as soon as the transcript is ready, and the
transcript itself is deleted after 24 hours — the privacy policy states
exactly what is stored and for how long, and the terms list the limits.
The trade-off is symmetrical: there is no meeting bot, no calendar integration, and no archive
of past transcripts, because there is no account to attach one to. The
step-by-step guide covers the workflow
in detail.
For live meetings: Fireflies.ai and Notta
If what you actually want is Otter's core product — a bot that joins your calls — the honest answer is another meeting assistant, not a file tool.
- Fireflies.ai is the closest like-for-like swap. It joins Zoom, Google Meet and Teams, produces transcripts with summaries and action items, and its search across past meetings is stronger than Otter's. Paid plans start at $10 per user per month billed annually ($18 month-to-month); the free tier gives you a taste but throttles credits quickly.
- Notta is worth a look if your meetings mix English with Japanese, Chinese or Korean, where it is notably strong. Its free plan is tight even by meeting-assistant standards: 120 minutes a month with recordings capped at 3 minutes each, which is enough to evaluate the accuracy and nothing more.
- Zoom and Google Meet built-ins deserve a mention before you pay a third party at all: if your organisation already has a paid Zoom or Google Workspace plan, both can transcribe meetings you host with no extra vendor in the call. The catch is that they only cover meetings on that platform, hosted by your side. For calls you attend on someone else's platform, recording locally and uploading the file works — this guide shows the Meet version of that workflow.
For guaranteed accuracy or heavy editing: Rev and Descript
Two upload-based tools serve needs WhoSayAh deliberately does not.
Rev is the option when a transcript must be right and someone must be accountable for it — legal proceedings, published quotes, compliance records. Its AI transcription runs about $0.25 per minute, and its human service at $1.99 per minute delivers 99%-accuracy work by a person who listened to the audio. A 1-hour recording therefore costs about $15 by AI or $119 by human — the price of certainty. For a free first pass to decide whether a recording is worth a human transcript, run it through a free tool first.
Descript treats the transcript as an editing interface: delete a sentence from the text and it is cut from the audio or video. If you are producing a podcast or editing video, that is the product; the transcription is a means to it. The free plan covers 1 hour of transcription a month, with paid plans from about $16 per month billed annually. If you only want the text, it is more tool than the job needs.
For files that cannot leave your network: self-hosting
Every tool above, WhoSayAh included, receives your audio on someone else's server. For client calls under NDA, medical or legal material, or anything subject to data-residency rules, that can be disqualifying regardless of the retention policy. The alternative is running transcription inside your own network, on your own hardware, where the audio never crosses your perimeter and there is no per-minute meter. FastoCloud provides the infrastructure for that: a Docker-based install behind your own nginx, with the same upload-and-read workflow for the people using it.
How to choose
- You have files to transcribe → WhoSayAh: free, no signup, speaker labels, .txt/.vtt export.
- You want a bot in every meeting → Fireflies.ai, or your platform's built-in transcription if you already pay for Zoom or Workspace.
- The transcript has legal weight → Rev's human service at $1.99/min.
- You are editing the media itself → Descript.
- The audio cannot leave your network → self-host on FastoCloud.
For a closer head-to-head of the first option against Otter itself — pricing math included — see WhoSayAh vs Otter.ai. And if your recording is a two-person interview, the interview guide covers the settings that matter most for clean speaker attribution.
Frequently asked questions
What is the best free Otter.ai alternative for uploading recordings?
For uploaded files, WhoSayAh is the most direct alternative: free transcription with speaker
labels, no account, files up to 100 MB and 60 minutes, exported as
.txt or .vtt. Otter's free plan allows only 3 file imports in total,
which is the limit most people hit first.
Which Otter.ai alternative joins live meetings?
Fireflies.ai is the closest replacement for Otter's meeting bot, joining Zoom, Google Meet and Teams calls, with paid plans from $10 per user per month billed annually. If you already pay for Zoom or Google Workspace, check the built-in transcription before adding a vendor.
Is there an Otter.ai alternative that does not require an account?
Yes — WhoSayAh requires no signup at all. You upload a file, read the transcript on the same page, and download it. The uploaded file is deleted once transcribed and the transcript is deleted after 24 hours.
What if my recordings cannot be uploaded to any cloud service?
Then no hosted tool on this list is appropriate, and the answer is a self-hosted setup running inside your own network. FastoCloud provides infrastructure for exactly that case.