Transcribe video
Transcribe video
TryScriptorium transcribes video into editable, timestamped text. Upload the video, choose the language or leave detection on, and review the transcript, which you can correct line by line and export as TXT, SRT or VTT. One file up to 15 minutes and 25 MB is free with no account. It reads speech, not on-screen text.
Transcribing a video well is mostly about what you do after the machine has had its turn. This page covers how to get a good first pass, how to check it efficiently, and what automatic transcription is reliably bad at.
Key facts
- Common video formats are read directly; no audio extraction needed.
- Subtitles come from the same transcript as SRT or VTT.
- Languages: 33 plus automatic detection, including Arabic.
- Export: TXT, TXT with timestamps, SRT, VTT, Markdown, JSON (word timings), CSV.
- Free: one file up to 15 minutes and 25 MB with no account, 3 tries a day.
- Privacy: no-account files are deleted after 24 hours; uploads are not used to train models.
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Getting a good first pass
The transcript you get is decided almost entirely before you upload anything. If you still control the recording, the three things that matter most are microphone distance, room echo, and whether people talk over each other. If the recording already exists, upload the highest-quality copy you have rather than a compressed export — not because the resolution matters, but because re-encoding a re-encode degrades the audio.
Tell it the language if you know it. Automatic detection is good, but on a recording that opens with ten seconds of noise or music it occasionally guesses wrong and commits to that guess for the whole file.
Checking it without reading it twice
The fastest way to check a transcript is not to read it top to bottom. Play the audio and read along: errors announce themselves because the words on screen stop matching the words in your ears, and clicking a line jumps the audio to that exact second.
Errors cluster in predictable places, so check those first:
- Proper nouns — people, companies, products, places.
- Numbers, dates and units.
- The first few seconds, before the model has any context to work with.
- Any passage where two people overlap.
- Anything domain-specific: medical, legal, technical or internal jargon.
What automatic transcription is bad at
It is worth stating plainly, because the category tends not to. Automatic transcription is genuinely bad at overlapping speech, at proper nouns it has no way to know, at very heavy accents, and at distinguishing similar voices. It also produces confident, fluent, completely wrong text when the audio is poor, which is more dangerous than obvious gibberish because it reads fine.
That is why every line here is editable and why nothing on this site quotes an accuracy percentage. A number measured on clean studio audio would tell you nothing about your recording.
Turning the transcript into subtitles
Export SRT or WebVTT and you have a subtitle file that YouTube, Vimeo, LinkedIn and every video editor will accept. Scriptorium produces the subtitle file; it does not burn captions into the video itself, so the final step happens in your video tool or on the platform you upload to.
How it works
Add a recording
Drop in a video or audio file, choose one from your device, or record from the microphone. Nothing to install.
It transcribes
Speech becomes timestamped text, with speaker labels when more than one person talks.
Read, fix, export
Click any line to correct it, then download TXT, subtitles, Markdown, JSON or CSV.
Questions
How accurate is AI video transcription?
Can I edit the transcript?
Can I transcribe a video for free?
Does it add captions to the video file?
Does it read text shown in the video?
Can I transcribe a video with background music?
Which video formats can I upload?
Can I add the subtitles to the video?
Does it need my login?
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Try it with your file
No account needed for a first transcript.