Meeting Transcription

Commercial use OK 380+ models No watermark No sign-up needed
Model:
+ GPT-5, Claude, Gemini
Upload a meeting recording — we auto-detect 2-10 speakers, generate an AI summary + action items + decisions + attendees block at the top, then give you the full diarized transcript in TXT/DOCX/SRT/JSON. Paste straight into your weekly update or Notion.

Drag and drop your meeting recording

MP4, M4A, MP3, WAV — Zoom / Teams / Google Meet exports all work. Up to 2GB.

0 = auto-detect. Setting an explicit count improves diarization accuracy by ~15% for noisy conference-room audio.
Covers: executive summary, action items (with assignees when named), key decisions, attendees, follow-ups.
Token estimate for this meeting
Meeting transcript
AI summary + action items
Generating summary...
AI-generated — verify action items against the transcript.

Transcribing and identifying speakers...

Typically 30s-3min — longer files may take several minutes.

Built for team leads, PMs + execs who sit through a lot of meetings

Instant action items

The AI summary pulls explicit commitments like 'Sarah, send the deck by Friday' into a ready-to-paste bullet list. Saves 30+ minutes per meeting.

Weekly update prep

Drop a week of team-meeting recordings, paste the summaries into your Friday digest. Everyone's aligned without anyone watching recordings.

Distributed teams

99-language transcript + translation via /translate/ on the summary. Share the English version with teammates who missed the call.

How meeting transcription works

  1. Upload a .mp4/.m4a/.mp3 meeting recording (Zoom, Teams, Google Meet — any export). Up to 2GB.
  2. Set the speaker count slider if you know it (or leave on auto). Keep the summary toggle on.
  3. Check the quote and submit. We do diarization + AI summary in one run.
  4. Get summary + action items at the top, full transcript below. Download TXT/DOCX/SRT/JSON.

Free.ai vs Otter, Fireflies, Gong

Feature Free.ai Otter.ai Fireflies Gong
Price$0.003/min$16.99/user/mo$10-18/user/mo$1,200+/seat/yr
AI summary + action itemsPaid tier
2-10 speaker diarization
Languages99English-focused60+English-focused
Your data stays with youMulti-tenantMulti-tenantMulti-tenant
Sign-up requiredNoYesYesEnterprise
Competitor pricing reflects publicly-listed 2026 tiers.
Advanced options
Result
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Want better results? Premium models (GPT-5, Claude, Gemini) deliver higher quality. View Plans

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Transcribe meetings and calls with AI. Speaker detection included.

How to Use Meeting Transcription

1
Enter your input

Type text, upload a file, or describe what you want. No account needed.

2
Click generate

Our AI processes your request in seconds using the best open-source models.

3
Download & share

Download, copy, or share your result. Free for personal and commercial use.

Use this tool via API

Automate this tool from your own code. OpenAI-compatible REST endpoint, Bearer-token auth, no extra SDK required. Token costs match the web interface.

curl -X POST https://api.free.ai/v1/stt/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"file": "@audio.mp3", "language": "auto"}'

Meeting Transcription — FAQ

Meeting mode detects 2-10 speakers automatically, generates an AI summary + bullet-point action items at the top, and extracts follow-ups + decisions + attendees so team leads can paste the output straight into their weekly update.

Auto-detect from 2-10. If you know the speaker count, set the slider for more accurate attribution — explicit hints reduce diarization errors by ~15% on noisy conference-room audio.

A 3-5 sentence executive summary, a bullet list of action items with assignees when named, key decisions made, and attendee names (pulled from speaker labels). Generated by an LLM on top of the raw transcript — ~300 extra tokens.

Otter caps at 300 minutes free, $16.99/month for 1,200 minutes, English-heavy. We do 99 languages at ~$0.003/min pay-per-use, plus the LLM-generated summary + action items are included in the ~300-token AI post-process cost.

Fireflies is $10/user/month ($18/user for AI summaries). We charge per-minute transcribed, no seat license, and our summary extractor calls the same class of LLMs (Qwen 7B default, Claude/GPT upgradeable).

Gong is sales-call-focused at $1,200+/seat/year with CRM integrations. We do the transcription + summary + action items for any meeting type at a fraction of the cost — no CRM, but you get clean exports to paste anywhere.

Export as DOCX (Word-compatible, imports to Google Docs), TXT with speaker-labeled blocks, or JSON. Copy the summary + action items and paste into Notion — they render as a markdown list.

Uploaded files are deleted after transcription. Transcripts live under your account for 7 days (paid) or 24 hours (free). For confidential meetings, delete the history row after downloading.

Yes, but diarization accuracy is best when each remote participant has their own mic. Room-mic-only audio with multiple people talking can occasionally merge two voices into one label.

Good for explicit commitments ("Sarah, send the deck by Friday") — typical 80-90% recall. Implicit follow-ups the LLM infers from context are flagged but should be reviewed — we include a "verify against transcript" note on the output.

Yes, but /transcribe/zoom/ is purpose-built — it reads speaker names embedded in Zoom metadata automatically so labels become "Alice / Bob" instead of "Speaker 1 / 2".

Up to 2GB (roughly 12+ hours of 128 kbps audio). For longer raw recordings, split into segments or use our /api/ batch endpoint.

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