Podcast transcripts as chunks for RAG
Build a searchable knowledge base from a podcast: every episode transcribed and split into timestamped chunks ready for embeddings and LLMs.
Input
Output fields
Sign up on Apify or log in
The Podcast Transcript Scraper: Any Podcast to Text & SRT Actor is ready to run with the inputs already set for "Podcast transcripts as chunks for RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Podcast transcripts as chunks for RAG" task
The Podcast Transcript Scraper: Any Podcast to Text & SRT Actor will start running based on the input automatically. You can also change all the input fields, like podcasts, episodes per feed, and more, to match your specific use case.
Receive the "Podcast transcripts as chunks for RAG" 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 podcast, episode, published, 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 "Podcast transcripts as chunks for RAG" task via API.
