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Transcribe a YouTube podcast for RAG & search

Transcribe long-form YouTube videos & podcasts into clean text, AI summaries, key quotes, and embeddings-ready chunks for RAG.

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YouTube Transcript API - RAG Chapters, Summary & Chunks
YouTube Transcript API - RAG Chapters, Summary & Chunkswebdatalabs/youtube-transcript-rag
Video ID
URL
Status
Title
+6 fields
Text
Number
Boolean
List
Object

Input

YouTube URLs or video IDs(required):https://www.youtube.com/watch?v=u4ZoJKF_VuA
Output formats:text+1
Generate summary (AI):true
Extract key quotes (AI):true
Chunk size (tokens):512

Output fields

Video ID
URL
Status
Title
Channel
Duration (s)
Views
Published
Language
Scraped at

How it works

Sign up on Apify or log in

The YouTube Transcript API - RAG Chapters, Summary & Chunks Actor is ready to run with the inputs already set for "Transcribe a YouTube podcast for RAG & search". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe a YouTube podcast for RAG & search" task

The YouTube Transcript API - RAG Chapters, Summary & Chunks Actor will start running based on the input automatically. You can also change all the input fields, like youtube urls or video ids, output formats, and more, to match your specific use case.

Receive the "Transcribe a YouTube podcast for RAG & search" 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, URL, status, 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 "Transcribe a YouTube podcast for RAG & search" task via API.

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