Transcribe Interview Audio to Text with Speaker Labels

Created by

Heim

Actor

Audio Transcription - Speech to Text, SRT, Diarization

Convert interview or podcast audio to text with speaker labels and an AI summary. Provide any public audio URL and get a clean, diarized transcript back.

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Audio Transcription - Speech to Text, SRT, Diarizationkaz_kakyo/audio-transcriber

File

Resolved file

Duration (s)

Minutes billed

+10 fields

Input

Audio / video file URLs(required):https://archive.org/download/FrankDaleGWMediaDay-InterviewwithKimberlyBeck/kimbeckinterview.mp3

Speaker diarization:true

Summary:true

Smart formatting:true

Paragraph breaks:true

Model:nova-3

Language:en

Output fields

File

Resolved file

Duration (s)

Minutes billed

Language

Confidence

Transcript

Speakers

SRT

Summary

Chapters

Show notes

Chapters error

Error

How it works

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The Audio Transcription - Speech to Text, SRT, Diarization Actor is ready to run with the inputs already set for "Transcribe Interview Audio to Text 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 Interview Audio to Text with Speaker Labels" task

The Audio Transcription - Speech to Text, SRT, Diarization Actor will start running based on the input automatically. You can also change all the input fields, like audio / video file urls, speaker diarization, and more, to match your specific use case.

Receive the "Transcribe Interview Audio to Text 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, resolved file, duration (s), and more.