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.
Input
Output fields
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.

Integrate "Transcribe an audio file to text with timestamps" into your workflow
Connect "Transcribe an audio file to text with timestamps" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay