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Transcribe the latest podcast episodes to text

Transcribe the newest episode of a podcast feed into text with timestamps and SRT and VTT subtitle files. Give it any podcast RSS feed. Runs on Whisper inside the run, so files never go to an outside service.

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Audio & Video Transcriber (Whisper): MP3, MP4, Podcasts to Text
Audio & Video Transcriber (Whisper): MP3, MP4, Podcasts to Textpavel.tashev/audio-video-transcriber
Title
Transcript
Text
Number
Boolean
List
Object

Input

Podcast RSS feeds:https://www.nasa.gov/feeds/podcasts/small-steps-giant-leaps
Episodes per feed:1
Language:auto
Maximum minutes per file:30

Output fields

Title
Transcript

How it works

Sign up on Apify or log in

The Audio & Video Transcriber (Whisper): MP3, MP4, Podcasts to Text Actor is ready to run with the inputs already set for "Transcribe the latest podcast episodes to text". 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 to text" task

The Audio & Video Transcriber (Whisper): MP3, MP4, Podcasts to Text Actor will start running based on the input automatically. You can also change all the input fields, like podcast rss feeds, episodes per feed, and more, to match your specific use case.

Receive the "Transcribe the latest podcast episodes 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 title and transcript.

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 to text" task via API.

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