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Transcribe a Podcast Episode to Text

Transcribes one podcast episode audio link to clean text with timed segments, language auto-detected. Swap in your episode's direct audio link or a podcast RSS feed.

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Podcast & Audio Transcriber: MP3 and RSS to Text and SRT
Podcast & Audio Transcriber: MP3 and RSS to Text and SRTdatagleaner/audio-transcriber
Episode
Podcast
Audio URL
Language
+5 fields
Text
Number
Boolean
List
Object

Input

Audio file or podcast feed URLs
url:https://keencrest-guides.web.app/samples/sample.mp3
Max minutes per file:30
Return timed segments:true
Language:auto

Output fields

Episode
Podcast
Audio URL
Language
Minutes
Billed minutes
Words
Error
Failure reason

How it works

Sign up on Apify or log in

The Podcast & Audio Transcriber: MP3 and RSS to Text and SRT Actor is ready to run with the inputs already set for "Transcribe a Podcast Episode to Text". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe a Podcast Episode to Text" task

The Podcast & Audio Transcriber: MP3 and RSS to Text and SRT Actor will start running based on the input automatically. You can also change all the input fields, like audio file or podcast feed urls, max minutes per file, and more, to match your specific use case.

Receive the "Transcribe a Podcast Episode to Text" 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 episode, podcast, audio url, 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 Podcast Episode to Text" task via API.

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