Transcribe Meeting Recordings

Upload the recording after the call and get a speaker-labeled transcript instead of an hour of audio nobody will replay. Search for decisions, copy action items, and share a read-only link with people who missed it.

Start transcribing freeFree plan: 2 files per day, 100 minutes per month. No credit card required.

How it works

1
Upload
Drop in an audio or video file, or paste a link. All common formats are accepted.
2
Transcribe
AI transcribes with timestamps and optional speaker labels, usually in minutes.
3
Export
Edit segments online, then export TXT, SRT, VTT, TSV, CSV, JSON, PDF or DOCX.

Why ScribeToAny

Upload MP3, MP4, M4A, MOV, AAC, WAV, OGG, OPUS, MPEG, WMA, WMV — audio is extracted from video automatically.
About 98 languages with automatic detection, powered by a Whisper-class engine on dedicated GPUs.
Eight export formats: TXT, SRT, VTT, TSV, CSV, JSON, PDF and DOCX — plus batch ZIP export.
Speaker recognition labels every segment. Click any sentence to replay the matching audio.

Frequently asked questions

Which meeting platforms are supported?

Any platform that can save a recording: Zoom, Microsoft Teams, Google Meet, Webex, Tencent Meeting and others. Upload the MP4 or M4A file the platform produces — 13 upload formats are accepted and audio is extracted from video automatically. There is no bot joining your calls: recordings are processed after the fact, which also means past meetings sitting in your archive can be transcribed today.

Can it tell participants apart?

Yes. Enable speaker recognition when you start the transcription and every segment comes back attributed to a speaker, so a six-person status call reads as a labeled dialogue rather than one undifferentiated block. Attribution works across all ~98 supported languages and carries into the exports, so the DOCX you circulate shows who said what.

How do I share the transcript with my team?

Two ways: generate a read-only share link that teammates can open without an account (revocable at any time), or export the transcript as DOCX or PDF and drop it into your wiki or docs tool. For structured follow-ups, the JSON and CSV exports carry per-segment timestamps and speaker labels, ready for automation.

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