Transcribe an interview with speaker labels (diarization)
Transcribe the famous Apollo 13 "Houston, we've had a problem" exchange and label who speaks when (Speaker 1, Speaker 2) with timestamps and a speaker count, using Deepgram nova-3. Use it for interviews, podcasts with guests, meetings and call recordings where you need to know who said what.
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The Audio Transcription - Speech to Text, Audio to Text, Whisper Actor is ready to run with the inputs already set for "Transcribe an interview with speaker labels (diarization)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The Audio Transcription - Speech to Text, Audio to Text, Whisper Actor will start running based on the input automatically. You can also change all the input fields, like audio or video file urls, speaker labels (who said what), and more, to match your specific use case.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Transcribe an interview with speaker labels (diarization)" task via API.

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