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YouTube Transcript Generator

Turn any public YouTube video into accurate, editable transcript text. Paste a URL, preview output, then extract full text with timestamps in under a minute.
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Language
Model
Transcription Engine
Supported Platforms

1000+

Any public video URL

Engine AI
Accuracy 99.2%
YouTube TikTok Instagram X Facebook LinkedIn Reddit Vimeo Twitch Rumble Threads SoundCloud Bilibili Snapchat 1000+ more YouTube TikTok Instagram X Facebook LinkedIn Reddit 1000+ more
Transcription Engine

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What this youtube transcript generator page is for

Turn any public YouTube video into accurate, editable transcript text. Paste a URL, preview output, then extract full text with timestamps in under a minute.

Why teams use TranscriptX for YouTube

Use one URL-to-text workflow to extract accurate transcripts, preserve timestamps, and repurpose spoken content into publish-ready assets.

FAQ

Does this work with YouTube Shorts?
Yes, Shorts URLs are supported as long as the video is publicly accessible. Paste the Shorts URL the same way as a regular video.
Can I get timestamps?
Yes — TranscriptX returns both segment-level and word-level timestamps. Word-level is available in the JSON export and is precise to the millisecond.
Is there a free tier?
Yes. Free accounts get 3 transcripts per month, no credit card required. Plenty to validate accuracy on your specific content before paying.
How accurate is the transcript?
About 95% on clear audio, dropping to 88-92% on noisy real-world recordings. Higher than YouTube's native auto-captions, which average 70-85% on the same content.
Can I transcribe a private YouTube video?
No external tool can — private videos require authentication that we can't provide. If you own the video, change visibility to Unlisted (still hidden from search but reachable by link). Full details on our <a href="/help/private-video-transcript">private video help page</a>.
What's the longest video TranscriptX can handle?
Practically no upper limit, though long videos (3+ hours) take proportionally more processing time. We've successfully transcribed 4+ hour podcasts and full conference talks.
Does this work with non-English videos?
Yes, 90+ languages with auto-detection. Accuracy is strongest in English, Spanish, French, German, Portuguese, Italian, Japanese, and Korean. Lower-resource languages still work but accuracy varies more.
How is this different from copying YouTube's auto-captions?
Higher accuracy on real-world audio, word-level timestamps (vs caption blocks), structured export formats (TXT/CSV/JSON), works on videos without captions, and faster batch workflows. For one-off reads, native captions are fine; for repeatable workflows, this tool wins.