Podcast RSS Transcription: New Episode Workflows

Created by

Saulius AutomatesIT

Actor

Speech to Text API: Audio to Text & Video to Text, Whisper

Turn a public podcast feed into text, Markdown and RAG files. Test one episode, then enable onlyNewEpisodes with a stable monitor key for repeat runs.

Try for free

Speech to Text API: Audio to Text & Video to Text, Whispersauliusautomatesit/media-transcriber

Title

Uploader

Source

Lang

+9 fields

Input

Podcast RSS / Atom feeds:https://changelog.com/news/feed

Newest matching episodes per feed:1

Skip previously delivered feed episodes:false

Processing tier / model:base

Output formats:text+2

Create downloadable transcript files:true

Max duration per item (minutes):30

Maximum billed audio minutes for this run:30

Output fields

Title

Uploader

Source

Lang

Minutes

Words

Segments

Tier

Model

Billing receipt key

URL

Error code

Error

How it works

Sign up on Apify or log in

The Speech to Text API: Audio to Text & Video to Text, Whisper Actor is ready to run with the inputs already set for "Podcast RSS Transcription: New Episode Workflows". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Podcast RSS Transcription: New Episode Workflows" task

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

Receive the "Podcast RSS Transcription: New Episode Workflows" 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, uploader, source, 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 "Podcast RSS Transcription: New Episode Workflows" task via API.