Transcribe a podcast episode to timestamped text
HJL Analytics and AI development
Turn a podcast episode into clean text with timestamps and paragraph breaks. Billed per minute of speech, not file length. No API key.
Input
Output fields
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The Audio & Video Transcriber - Speech to Text, SRT & Timestamps Actor is ready to run with the inputs already set for "Transcribe a podcast episode to timestamped text". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The Audio & Video Transcriber - Speech to Text, SRT & Timestamps Actor will start running based on the input automatically. You can also change all the input fields, like media urls, to match your specific use case.
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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, lang, duration (s), 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 a podcast episode to timestamped text" task via API.
Integrate "Transcribe a podcast episode to timestamped text" into your workflow
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