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Add YouTube Transcripts to an AI Knowledge Base

Give your search or AI application text from selected YouTube videos. Extract the transcripts here, then use your own pipeline to clean, chunk, index, and retrieve them. The actor supplies transcript data; it does not build the knowledge base.

Try for free
YouTube Transcript Scraper - Subtitles & Captions, $0.001/Video
YouTube Transcript Scraper - Subtitles & Captions, $0.001/Videoapidojo/youtube-transcript-scraper
Video ID
Transcript lines
Track title
Track language code
+1 field
Text
Number
Boolean
List
Object

Input

YouTube video URLs(required):https://www.youtube.com/watch?v=hvPGfcAgk9Y+1
Transcript language code:en
Maximum transcripts to save:100
Custom map function (JavaScript):(object) => { return { ...object } }

Output fields

Video ID
Transcript lines
Track title
Track language code
Available caption languages

How it works

Sign up on Apify or log in

The YouTube Transcript Scraper - Subtitles & Captions, $0.001/Video Actor is ready to run with the inputs already set for "Add YouTube Transcripts to an AI Knowledge Base". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Add YouTube Transcripts to an AI Knowledge Base" task

The YouTube Transcript Scraper - Subtitles & Captions, $0.001/Video Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls, transcript language code, and more, to match your specific use case.

Receive the "Add YouTube Transcripts to an AI Knowledge Base" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as video id, transcript lines, track title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Add YouTube Transcripts to an AI Knowledge Base" task via API.

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Integrate "Add YouTube Transcripts to an AI Knowledge Base" into your workflow

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