Go to example tasks
Transcribe a podcast episode
Created by
Matvey
Turns an audio file into clean text with timestamped segments — the usual first run for a podcast, a call or a recorded meeting.
Audio Transcriber — Podcasts, Calls & Meetings to Textlergassy/audio-transcriber
File
Minutes
Language
Quality
+5 fieldsTextNumberBooleanListObject
Input
🎙️ Audio or video URLs:https://raw.githubusercontent.com/lergassy/apify-actor-assets/main/audio-samples/sample-5min.m4a
🎚️ Recognition quality:accurate
Timed segments:true
Output fields
File
Minutes
Language
Quality
Words
Segments
Chunks
Status
Transcript
Sign up on Apify01
Create your Apify account to access the Audio Transcriber — Podcasts, Calls & Meetings to Text.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
