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AI lecture transcript for RAG and LLM apps

Turn a long YouTube lecture into clean text you can chunk and embed for RAG or feed to an LLM. This example reads Andrej Karpathy's one-hour "Intro to Large Language Models" talk and returns the full text and timestamped segments.

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YouTube Transcript & Subtitles Scraper
YouTube Transcript & Subtitles Scraperheyitsgautham/youtube-transcript-scraper
Status
Title
Channel
Published (UTC)
+6 fields
Text
Number
Boolean
List
Object

Input

YouTube videos:https://www.youtube.com/watch?v=zjkBMFhNj_g
Include timestamped segments:true

Output fields

Status
Title
Channel
Published (UTC)
Language
Auto captions
Words
Transcript
URL
Note

How it works

Sign up on Apify or log in

The YouTube Transcript & Subtitles Scraper Actor is ready to run with the inputs already set for "AI lecture transcript for RAG and LLM apps". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "AI lecture transcript for RAG and LLM apps" task

The YouTube Transcript & Subtitles Scraper Actor will start running based on the input automatically. You can also change all the input fields, like youtube videos and include timestamped segments, to match your specific use case.

Receive the "AI lecture transcript for RAG and LLM apps" 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 status, title, channel, 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 "AI lecture transcript for RAG and LLM apps" task via API.

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