Podcast episode to text (Whisper, timestamps)

Created by

Adam Rudd

Actor

Audio & Video Transcriber (Whisper, your own files)

Paste direct links to podcast episode audio files (mp3, m4a, ...). Returns the transcript with timestamped segments and quality flags, using Whisper small in English.

Try for free

Audio & Video Transcriber (Whisper, your own files)mathtec/whisper-media-transcriber

URL

Status

Quality degraded

Model

+5 fields

Input

Media file URLs(required):https://api.apify.com/v2/key-value-stores/xiXGDNQvuihI2PjAb/records/clip8s.mp3?signature=1kalTDfgUSeCeMgzFvj19

Language:en

Output fields

URL

Status

Quality degraded

Model

Language

Duration (s)

Charged units

Transcript

Error

How it works

Sign up on Apify or log in

The Audio & Video Transcriber (Whisper, your own files) Actor is ready to run with the inputs already set for "Podcast episode to text (Whisper, timestamps)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Podcast episode to text (Whisper, timestamps)" task

The Audio & Video Transcriber (Whisper, your own files) Actor will start running based on the input automatically. You can also change all the input fields, like media file urls and language, to match your specific use case.

Receive the "Podcast episode to text (Whisper, timestamps)" 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 URL, status, quality degraded, 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 episode to text (Whisper, timestamps)" task via API.