5 things most developers get wrong about YouTube data:
(We've processed 15M+ transcripts/month. Some of these surprised us too.)
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Wrong: "YouTube doesn't have an API for transcripts."
It doesn't have a PUBLIC one. But transcripts exist for nearly every video including auto-generated ones.
~94% of videos have extractable transcripts. The data is there. The access layer was missing.
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Wrong: "Auto-generated captions are garbage."
That was true in 2019. Post-2022, YouTube's speech recognition is remarkably accurate.
We've processed millions of auto-generated transcripts. Error rates are low enough for RAG, search, and summarization at scale.
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Wrong: "You need a headless browser to get transcripts."
This is the biggest misconception. It leads developers to build fragile scrapers that break every few weeks.
A proper API handles extraction without browsers, proxies, or CAPTCHA solving.
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Wrong: "Transcripts are only useful for subtitles."
Transcripts are text. Text is the universal input for LLMs, search engines, analytics, and content tools.
Every YouTube video is a document waiting to be indexed. 800M+ documents. Most untouched.
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