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Transcribe the latest podcast episode from its RSS feed

Paste a podcast's RSS feed URL and get a text transcript of its newest episode, with timestamped segments and SRT subtitles. This example transcribes the first 3 minutes of one episode to keep the run cheap; raise the minutes limit to transcribe whole episodes.

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Audio & Video Transcriber: Speech to Text with Whisper
Audio & Video Transcriber: Speech to Text with Whisperhumble-echidna/audio-transcriber
File
Episode
Language
Seconds
+4 fields
Text
Number
Boolean
List
Object

Input

Podcast feeds:https://feeds.npr.org/510289/podcast.xml
Episodes per feed:1
Language:en
Max minutes per file:3

Output fields

File
Episode
Language
Seconds
Minutes
Words
Transcript
Cut short

How it works

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

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

Receive the "Transcribe the latest podcast episode from its 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 file, episode, language, 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 its RSS feed" task via API.

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