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Transcribe audio with speaker labels

Two people talking, two labelled speakers: the transcript is split by who said what.

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Audio Transcriber — Podcasts, Calls & Meetings
Audio Transcriber — Podcasts, Calls & Meetingslergassy/audio-transcriber
File
Speakers
Duration Seconds
Language
+4 fields
Text
Number
Boolean
List
Object

Input

🎙️ Video links or media files: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

How it works

Sign up on Apify or log in

The Audio Transcriber — Podcasts, Calls & Meetings Actor is ready to run with the inputs already set for "Transcribe audio with speaker labels". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe audio with speaker labels" task

The Audio Transcriber — Podcasts, Calls & Meetings Actor will start running based on the input automatically. You can also change all the input fields, like 🎙️ video links or media files, 🎚️ recognition quality, and more, to match your specific use case.

Receive the "Transcribe audio with speaker labels" 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 file, speakers, duration seconds, 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 audio with speaker labels" task via API.

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