Meeting Notes AI

Commercial use OK 380+ models No watermark No sign-up needed
Model:
+ GPT-5, Claude, Gemini
Turn a rough transcript or bullet-dump into structured minutes: agenda, discussion, decisions, action items (owner + deadline), and next steps. Paste unformatted notes or a Teams/Zoom/Google Meet transcript — the model splits speaker tags, extracts decisions, and pulls out the assignable action items with owners.
~500 tokens · Qwen 2.5 7B · formal minutes
Paste raw notes or a transcript to continue.
Formatted minutes
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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Generate meeting notes and action items with free AI. Never miss a detail.

How to Use Meeting Notes AI

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/chat/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Draft a 60-day go-to-market plan for a SaaS launch."}]}'

Meeting Notes AI — FAQ

Free.ai Meeting Notes Generator turns a rough transcript or bullet-dump into structured minutes: agenda, decisions, action items (owner + deadline), risks, and next steps. Paste raw notes from Zoom / Teams / Google Meet, pick an output format (minutes / summary / agenda-split / bullets / retro), and get formatted output ready to ship to the team.

Otter.ai is $17-30/user/month (real-time recording + AI summary). Fireflies starts at $10/user/month. Fathom is $15-39/user/month. Grain is $19-39/user/month. Fellow is $7-10/user/month. All of those RECORD + TRANSCRIBE. Free.ai only reformats text you already have — paste a Zoom transcript or your own bullets and we extract action items free. Pair with /transcribe/ if you need to transcribe an audio recording first.

Yes — Qwen 3 30B runs on our own GPUs. A 30-minute meeting's worth of raw notes (~3K chars) costs about 500 tokens. Free signup gives 10,000 tokens. Premium models (Claude Sonnet, GPT-5) improve owner-attribution accuracy for complex cross-functional meetings.

Yes — all three common speaker-tag formats are recognized ("Alex: …", "[14:02] Priya —", "<Kenji>"). Paste the raw .txt export directly. For 60+ minute transcripts, split by topic — quality stays higher under 15K characters of input.

No — the system prompt is explicit: never fabricate. If an owner or deadline is unclear, it writes [TBD — assign in follow-up]. If an owner is only inferred from context, it is flagged with a question mark ("Alex?"). Verify the table before publishing.

Five: (1) Minutes — formal, all standard sections. (2) Summary — narrative prose for non-attendees. (3) Agenda + Actions Split — just topics and an action table. (4) Bullets Only — ultra-compact for Slack/email. (5) Retro — what-went-well / didn't / try-next / actions, perfect for sprint retrospectives.

Yes — "Email to team" button opens your default mail client with subject + body pre-filled (subject auto-populated from meeting type + date). Long notes may truncate at the mailto: URL limit (~1900 chars) — copy-paste the body instead for longer outputs.

No — first meeting runs free, no email, no credit card. Sign up for a free account to unlock 10K signup tokens, 7-day share links (24h anonymous), generation history, and premium model access.

Yes — .md preserves markdown tables for GitHub / Notion / Obsidian; .doc opens in Microsoft Word or Google Docs with real tables, headings, and bulleted lists. Copy button copies raw markdown for Slack, Notion, or any wiki.

Optional via the "Keep speaker attribution" toggle. On → discussion retains "Alex proposed…", "Priya pushed back on…". Off → the model synthesizes discussion into neutral prose without name-tagging every statement. For board meetings use synthesized mode; for legal / HR documentation keep attribution.

Yes — paste a Portuguese, Japanese, or Spanish transcript and the minutes return in the same language with locally appropriate conventions. Supports all 99 Free.ai languages.

Yes — POST to /v1/chat/ with the meeting-notes system prompt (see template source). Useful for Slack bots that summarize huddles or Notion integrations that auto-format recurring meeting notes. Bearer auth, monthly limits. Docs at /api/.

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