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Transcribe audio with speaker labels
Created by
Matvey
Two people talking, two labelled speakers: the transcript is split by who said what.
Audio Transcriber — Podcasts, Calls & Meetings to Textlergassy/audio-transcriber
File
Speakers
Duration Seconds
Language
+4 fieldsTextNumberBooleanListObject
Input
🎙️ Audio or video URLs:https://raw.githubusercontent.com/lergassy/apify-actor-assets/main/audio-samples/conversation-4min.ogg
🎚️ Recognition quality:accurate
🗣️ Speaker labels ($):true
Number of speakers:2
Timed segments:true
Output fields
File
Speakers
Duration Seconds
Language
Model
Segment Count
Transcript
Status
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.
