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Transcribe an audio file to text with timestamps

Transcribes an interview recording with Whisper and returns the full transcript, the detected language and timestamped segments for every phrase.

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Audio & Video to Text - Whisper Speech-to-Text Transcriber
Audio & Video to Text - Whisper Speech-to-Text Transcriberteddythebuilder/speech-to-text-transcriber
Audio / video
Language
Minutes
Words
+5 fields
Text
Number
Boolean
List
Object

Input

Audio / video file URLs:https://upload.wikimedia.org/wikipedia/commons/e/e0/Interview_with_Warren_Hanson_regarding_Hundred_Flowers.ogg
Model:base
Include timestamped segments:true
Max audio minutes per run:60

Output fields

Audio / video
Language
Minutes
Words
Transcript
Model
Processing s
Skipped / error (free)
Info

How it works

Sign up on Apify or log in

The Audio & Video to Text - Whisper Speech-to-Text Transcriber Actor is ready to run with the inputs already set for "Transcribe an audio file to text with timestamps". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe an audio file to text with timestamps" task

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

Receive the "Transcribe an audio file to text with timestamps" 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 audio / video, language, minutes, 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 audio file to text with timestamps" task via API.

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