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Transcribe the latest podcast episode from an RSS feed

Takes a podcast RSS feed URL (here The Vergecast) and transcribes the newest episode with Whisper (base model), up to 120 minutes. Returns the full transcript, timestamped segments, episode title and detected language. Raise `maxEpisodesPerFeed` to transcribe a back catalogue, and replace the feed URL.

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Video & Audio Transcriber
Video & Audio Transcriberparsebird/video-audio-transcriber
Title
Platform
Source Type
Language
+9 fields
Text
Number
Boolean
List
Object

Input

Media URLs(required):https://feeds.megaphone.fm/vergecast
Max episodes per feed:1
Max minutes per item:120
Whisper model:base

Output fields

Title
Platform
Source Type
Language
Duration (s)
Transcribed (s)
Billed Minutes
Words
Transcript
SRT File
VTT File
Source URL
Error

How it works

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The Video & Audio Transcriber Actor is ready to run with the inputs already set for "Transcribe the latest podcast episode from an 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 podcast episode from an RSS feed" task

The Video & Audio Transcriber Actor will start running based on the input automatically. You can also change all the input fields, like media urls, max episodes per feed, and more, to match your specific use case.

Receive the "Transcribe the latest podcast episode from an 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 title, platform, source type, 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 podcast episode from an RSS feed" task via API.

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