YouTube Transcripts for RAG and AI Agents
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Word-timed, speaker-labelled, confidence-scored text — the shape LLM and vector-database pipelines want. One clean JSON row per video with the transcript, per-segment timings, detected language and video metadata, so chunking and citing back to a timestamp both work without a second pass.
Input
Output fields
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The YouTube Transcript AI: Subtitles, SRT & Speakers Actor is ready to run with the inputs already set for "YouTube Transcripts for RAG and AI Agents". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube Transcripts for RAG and AI Agents" task
The YouTube Transcript AI: Subtitles, SRT & Speakers Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls, timestamp level, and more, to match your specific use case.
Receive the "YouTube Transcripts for RAG and AI Agents" 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 url, video id, 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 "YouTube Transcripts for RAG and AI Agents" task via API.
Integrate "YouTube Transcripts for RAG and AI Agents" into your workflow
Connect "YouTube Transcripts for RAG and AI Agents" with 100+ integrations, or run it via API or MCP.
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