Whisper AI Transcribe
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Move from spoken audio to a timed subtitle workflow. Select the spoken language, upload an MP3 audio file, and receive time-coded SRT subtitles for podcasters, editors, and accessibility teams.

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MP3-to-SRT conversion built for the task

The workflow is shaped around MP3 to SRT converter, from an MP3 audio file to time-coded SRT subtitles.

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134+ languages for MP3-to-SRT conversion

Select the language spoken in an MP3 audio file to guide the transcription process.

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Speaker labels for MP3-to-SRT conversion

Separate voices in multi-speaker material so time-coded SRT subtitles is easier to follow and review.

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A saved workspace for MP3-to-SRT conversion

Keep uploaded material and resulting text together so you can return to the MP3-to-SRT conversion workflow.

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Protected MP3-to-SRT conversion files

Security controls help protect an MP3 audio file while it moves through the transcription workflow.

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Large-file support for MP3-to-SRT conversion

Handle a single upload up to 5GB when the MP3-to-SRT conversion task involves longer media.

MP3 to SRT converter is most valuable when the workflow matches the recording and the final job to be done. After transcription, review wording and timing before using the result in an editor, player, or publishing workflow. For podcasters, editors, and accessibility teams, the page emphasizes how to get time-coded SRT subtitles and why that output is useful. Its distinct angle is to connect audio transcription with subtitle timing.