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Download YouTube Transcript

Get a downloadable YouTube transcript in TXT, CSV, or JSON — with timestamps — from any public video URL. Built for content workflows, not just casual reading.
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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
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What this download youtube transcript page is for

Get a downloadable YouTube transcript in TXT, CSV, or JSON — with timestamps — from any public video URL. Built for content workflows, not just casual reading.

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

Do I need subtitles enabled on YouTube?
No. TranscriptX transcribes audio directly and does not depend on YouTube's caption track. Even videos without captions work.
Can I clip by highlighted text?
Yes — selected transcript ranges can be mapped to timestamps for segment downloads. The JSON export contains word-level start/end times for precise clipping.
What format should I export?
TXT for reading, CSV for spreadsheets and content calendars, JSON for programmatic processing or feeding to AI tools. Most users export JSON for flexibility, then derive other formats from it.
Can I download SRT or VTT subtitles?
Not directly today — our JSON export contains all the timestamp data needed to generate SRT/VTT with any standard converter. Direct export is on the roadmap.
How long are transcripts kept on my account?
Indefinitely while your account is active. Re-download anytime.
Are downloads included in the free tier?
Yes, all 3 free transcripts per month include full export access — same formats as paid tiers, no watermark.
Can I batch-download many transcripts?
Yes via our batch workflow. Paste multiple URLs in the input area and process them sequentially. Each transcript is downloadable individually.
Does the download include speaker labels?
No, we don't separate speakers into named labels. For multi-person recordings where speaker labels matter, Otter handles diarization better than we do.