YouTube's built-in auto-captions stop at 80% accuracy and don't separate speakers. Human transcribers cost $1–3 per minute and take overnight. Our pipeline lands at 95% on production-quality YouTube, separates speakers on Pro, and finishes in roughly 6× realtime — for $0.03 per minute.
Of words YouTube's built-in auto-captions get wrong on production-quality video. Plus 100% of speaker labels, chapter markers, and citation timestamps — those don't exist in auto-captions at all.
Pick the column that matches what you need. Most teams use AI for the 95% case and a human for the 5% legal/medical edges. Auto-captions are useful as a fallback when there's literally no budget.
| ThemYouTube auto-captions | UsTranscripton AI | ThemHuman transcriber | |
|---|---|---|---|
| Accuracy on clean speech | ~80% | 95%+ | 98–99% |
| Speaker labels | No | Yes (Pro) | Yes |
| SRT / VTT export | Yes (auto) | Yes | Usually yes |
| AI summary with chapters | No | Yes (Pro) | Sometimes (extra) |
| Citation timestamps | Imprecise | Per turn | Per turn |
| Speed (60-min video) | Instant | ~10 min | Overnight |
| Cost per minute | Free | $0.03 | $1–3 |
| Languages | ~13 (auto-detect) | 99 | All (depends on transcriber) |
| Best for | Casual viewing accessibility | Citation, repurposing, search | Legal, medical, archival |
These are the assumptions we hear weekly from teams who've never tried it. Each is a real misconception that costs hours.
Export the SRT and upload it via YouTube Studio → Subtitles. Useful for older videos with auto-captions you don't trust, or for languages YouTube doesn't auto-caption.
AI summary + transcript + timestamps gives you the raw material for a long-form post. Most users edit the summary outline, paste in the most-quotable transcript blocks, and ship in 30 minutes.
Find the moment where the speaker says something quotable, take the transcript snippet plus the timestamp, and you have a LinkedIn or X post linked to the exact YouTube moment.
If you keep a library of research interviews, conference talks, or competitor podcasts, search hits the words inside, not just titles. Click a result and the transcript opens at that moment.
Podcast on YouTube? Conference panel? Pro and Business plans separate two or more voices. Manual rename per speaker — handy when there's a guest you want to credit.
POST a list of YouTube URLs, GET transcripts back via webhook. Useful if you're archiving a creator's full back-catalogue or running competitive analysis. Per-key rate limits, JWT auth.
Anything where the speech is the centre of the audio works. Music videos, ASMR, and silent gameplay won't produce useful transcripts — the words just aren't there. Below: the categories where users actually use this.
Tier 1 — the languages where you get 95%+ accuracy on production-quality YouTube without an editorial pass. We support 99 total; the 8 below are the ones that matter for the bulk of English-, Spanish-, and European-language YouTube.
POSTed all 168 youtube.com URLs in a CSV to the /jobs endpoint, one webhook to receive completion. Pasted the API key, watched the queue.
Diarization on, AI summary on, SRT + DOCX exports configured. Long videos chunked and parallelised. The whole batch completed while the creator slept.
Used YouTube Studio's bulk-upload tool — drag the folder of SRTs, YouTube auto-matches them to videos by filename. Replaced auto-captions on every video.
Sorted by view count. Used the AI summary as the blog outline; pasted the most-quotable transcript blocks; added screenshots. Each post took ~30 minutes from transcript to publish.
YouTube audio quality varies more than any other source — a Vox-style production playing back at studio quality, a vlog filmed on a windy beach with a phone, and a Zoom-recording-uploaded-as-a-video are all called "a YouTube video". Here's what to expect.
USB or shotgun mic, indoor or controlled outdoor, one to two speakers. The result you get on most channels you'd actually want to transcribe.
Vlog filmed on a phone, multiple speakers in a panel, light music bed, occasional background noise. Most words right; an editorial pass catches the rest.
Anything that requires a YouTube login — private videos, channel-members content, age-gated videos — won't resolve through our URL pipeline. If you have authorisation, download the file via YouTube Studio and upload it directly to us instead.
Active live streams aren't supported. Wait for the stream to end and YouTube to publish the VOD. Then paste the VOD URL.
YouTube occasionally blocks server-side fetches as a bot. If we hit this, the dashboard tells you exactly so — download the audio yourself via the /tools/youtube-downloader path and upload the file. We're working on a more reliable URL fallback.
Music videos, lyric videos, ASMR, and silent gameplay won't produce useful transcripts. The words aren't there.
60 free minutes per month, no card. Paste any public youtube.com URL — first transcript, SRT, and AI summary in about 10 minutes.
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