Transcribe an interview with speaker labels

Created by

Vadim Bezrukov

Actor

Audio Transcriber - Speech-to-Text API

Transcribes a 2-minute public interview recording and labels who speaks when. Replace the sample link in Audio URLs with a public HTTPS link to your own MP3, WAV, FLAC, OGG, WEBM, M4A or AAC file. The Transcripts view shows the text and the speaker-labelled transcript; each row also holds timed segments and SRT/VTT subtitles.

Try for free

Audio Transcriber - Speech-to-Text APIautoma-flow/audio-transcriber

Source URL

Duration s

Language

Transcript

+4 fields

Input

Audio URLs(required):https://upload.wikimedia.org/wikipedia/commons/6/60/Mike_Peters_on_Politics_and_Emotion_%28Interview_1984%29.mp3

Context bias terms:Mike+1

Output fields

Source URL

Duration s

Language

Transcript

Speakers

Billed min

Charged

Model

How it works

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The Audio Transcriber - Speech-to-Text API Actor is ready to run with the inputs already set for "Transcribe an interview 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 an interview with speaker labels" task

The Audio Transcriber - Speech-to-Text API Actor will start running based on the input automatically. You can also change all the input fields, like audio urls and context bias terms, to match your specific use case.

Receive the "Transcribe an interview 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 source url, duration s, language, 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 an interview with speaker labels" task via API.