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Transcribe the latest podcast episodes from an RSS feed

Takes a podcast RSS feed, picks the newest episodes and transcribes them to text with timestamps, with show name, episode title and publication date.

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Audio & Video to Text - Whisper Speech-to-Text Transcriber
Audio & Video to Text - Whisper Speech-to-Text Transcriberteddythebuilder/speech-to-text-transcriber
Audio / video
Language
Minutes
Words
+5 fields
Text
Number
Boolean
List
Object

Input

Podcast RSS feed URLs:https://feeds.npr.org/500005/podcast.xml
Episodes per feed:1
Model:base
Include SRT and WebVTT subtitles:false

Output fields

Audio / video
Language
Minutes
Words
Transcript
Model
Processing s
Skipped / error (free)
Info

How it works

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

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

Receive the "Transcribe the latest podcast episodes 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 audio / video, language, minutes, 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 episodes from an RSS feed" task via API.

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