Convert Video to Text

Turn lectures, meetings and footage into searchable text. ScribeToAny extracts the audio from your video automatically, transcribes it with speaker labels and timestamps, and lets you jump to any sentence by clicking 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 video formats are supported?

MP4, MOV, WEBM, MPEG, MPG and WMV all upload directly, alongside 8 pure-audio formats. There is no need to convert the video to audio first: the audio track is extracted server-side before transcription, and playback in the transcript view uses a processed MP3, so even exotic containers play back fine. Paid plans accept files up to 5 GB — several hours of HD footage.

Can I get subtitles instead of plain text?

Yes. Every transcript exports as SRT or VTT subtitles whose timestamps are generated from the actual speech, aligned segment by segment — no manual syncing. Edit any line in the browser first and the exported file reflects the change. SRT works in Premiere Pro, Final Cut, CapCut, DaVinci Resolve and YouTube Studio; VTT is the standard for HTML5 web players.

How long can the video be?

Free accounts transcribe files up to 30 minutes long, within a 100-minute monthly allowance. Paid plans extend the limit to 3 hours per file and 5 GB per upload, with 3000 transcription minutes per month and up to 6 files processing in parallel — a 2-hour lecture video typically finishes in minutes on the GPU pipeline.

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