Transcribe an audio file to text and SRT subtitles
Turn a public MP3 or podcast episode link into a timestamped transcript. Each row has the text per minute with start and end time, the language and links to TXT, SRT and VTT files. Paste a podcast RSS feed to transcribe its latest episodes.
Input
Output fields
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The Audio Transcription - Speech to Text, Podcast RSS, SRT Actor is ready to run with the inputs already set for "Transcribe an audio file to text and SRT subtitles". 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 and SRT subtitles" task
The Audio Transcription - Speech to Text, Podcast RSS, SRT Actor will start running based on the input automatically. You can also change all the input fields, like audio file or podcast rss urls, max episodes per feed, and more, to match your specific use case.
Receive the "Transcribe an audio file to text and SRT subtitles" 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 source url, episode title, minute, 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 and SRT subtitles" task via API.
Integrate "Transcribe an audio file to text and SRT subtitles" into your workflow
Connect "Transcribe an audio file to text and SRT subtitles" with 100+ integrations, or run it via API or MCP.
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You pay per result: $0.008 per result on the Free plan (about $8.00 per 1,000). Paid Apify plans get lower tiered prices.
Edit urls (audio links or podcast RSS feeds), maxEpisodes, model (tiny, base, small) and language.
Yes. Add this task to an Apify Schedule and use onlyNew: later runs return only what was not reported before. The first run returns everything. Keep the same Monitor ID for each watch list.