Transcribe a podcast's latest episode to text and SRT

Created by

Steady Scrape

Actor

Audio & Video Transcriber — Speech to Text, SRT/VTT, Podcasts

Takes a podcast's RSS feed (here NPR's Up First), downloads its newest episode and transcribes the first 10 minutes with Whisper: the full text, timed segments and SRT/VTT subtitles. Paste any RSS or Apple Podcasts link and remove the 10-minute cap to transcribe whole episodes.

Try for free

Audio & Video Transcriber — Speech to Text, SRT/VTT, Podcastssteadyscrape/audio-video-transcriber

Status

Podcast

Episode

File

+10 fields

Input

Podcast feeds:https://feeds.npr.org/510318/podcast.xml

Quality:fast

Minutes per file:10

Output fields

Status

Podcast

Episode

File

Language

Seconds

Billed minutes

Words

Transcript

Note

Quality

Cut short

Published

Input

How it works

Sign up on Apify or log in

The Audio & Video Transcriber — Speech to Text, SRT/VTT, Podcasts Actor is ready to run with the inputs already set for "Transcribe a podcast's latest episode to text and SRT". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe a podcast's latest episode to text and SRT" task

The Audio & Video Transcriber — Speech to Text, SRT/VTT, Podcasts Actor will start running based on the input automatically. You can also change all the input fields, like podcast feeds, quality, and more, to match your specific use case.

Receive the "Transcribe a podcast's latest episode to text and SRT" 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 status, podcast, episode, 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's latest episode to text and SRT" task via API.