Transcribe an audio file with timestamps
Convert any audio file to text with word-level timestamps and a Markdown transcript, using OpenAI Whisper. Useful for lectures, voice notes, speeches and research interviews. Pick the small model for higher accuracy on noisy audio.
Input
Output fields
Sign up on Apify or log in
The Audio & Video to Text Transcription (Whisper): Speech to Text Actor is ready to run with the inputs already set for "Transcribe an audio file 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 with timestamps" task
The Audio & Video to Text Transcription (Whisper): Speech to Text Actor will start running based on the input automatically. You can also change all the input fields, like audio or video urls, model, and more, to match your specific use case.
Receive the "Transcribe an audio file 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 file, status, 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 audio file with timestamps" task via API.
