Quickstart: Whisper Speech to Text — Audio & Video Transcriber,

Created by

daehwan kim

Actor

Whisper Speech to Text — Audio & Video Transcriber, Diarization

Transcribe audio & video to text with Whisper — now with speaker diarization. Who-spoke-when labels (SPEAKER_1, SPEAKER_2…) on every segment, per-speaker summary rows, timestamped transcript, SRT/VTT subtitles, word-level detail, 99 languages. Batch URLs in, structured result rows out.

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Whisper Speech to Text — Audio & Video Transcriber, Diarizationntriqpro/whisper-speech-to-text

Row type

Source URL

Speaker

Speakers

+11 fields

Input

Audio / video URLs:https://raw.githubusercontent.com/ggml-org/whisper.cpp/master/samples/jfk.wav

Whisper model:base

Translate to English:false

Word-level timestamps:false

Output fields

Row type

Source URL

Speaker

Speakers

Minute

Start (s)

End (s)

Transcript

Chapter

Keyword

Language

Model

Charged

Notice

Message

How it works

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The Whisper Speech to Text — Audio & Video Transcriber, Diarization Actor is ready to run with the inputs already set for "Quickstart: Whisper Speech to Text — Audio & Video Transcriber,". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Quickstart: Whisper Speech to Text — Audio & Video Transcriber," task

The Whisper Speech to Text — Audio & Video Transcriber, Diarization Actor will start running based on the input automatically. You can also change all the input fields, like audio / video urls, whisper model, and more, to match your specific use case.

Receive the "Quickstart: Whisper Speech to Text — Audio & Video Transcriber," 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 row type, source url, speaker, and more.