Transcribe the latest episodes of a podcast RSS feed

Created by

Salih Küçükkayış

Actor

Audio to Text — Whisper Transcription, SRT, RAG Chunks

Give it a podcast RSS or Atom feed and it transcribes the newest episodes, with each episode's title and publish date, timestamped segments, SRT subtitles and Markdown show notes text. Choose how many episodes per feed and cap the minutes per episode to control the cost. Example: the LibriVox short story podcast, 2 episodes, first 3 minutes each.

Try for free

Audio to Text — Whisper Transcription, SRT, RAG Chunkssaliga/audio-to-text

URL

File

Episode

Language

+5 fields

Input

Podcast feeds (RSS):https://librivox.org/rss/2774

Episodes per feed:2

Model:base

Max minutes per file:3

Output fields

URL

File

Episode

Language

Duration (s)

Billed minutes

Words

Transcript

Error

How it works

Sign up on Apify or log in

The Audio to Text — Whisper Transcription, SRT, RAG Chunks Actor is ready to run with the inputs already set for "Transcribe the latest episodes of a podcast RSS feed". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe the latest episodes of a podcast RSS feed" task

The Audio to Text — Whisper Transcription, SRT, RAG Chunks Actor will start running based on the input automatically. You can also change all the input fields, like podcast feeds (rss), episodes per feed, and more, to match your specific use case.

Receive the "Transcribe the latest episodes of a podcast RSS feed" 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 URL, file, episode, 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 the latest episodes of a podcast RSS feed" task via API.