Transcribe MP3 recordings into timestamped text with TXT, DOCX, SRT and agent JSON exports. Free 3-minute preview, no card.
Le même pipeline Vocce fiable, concentré sur cette tâche. Commencez gratuitement, puis plans à partir de 9,90 $/mo quand vous avez besoin de plus.
MP3 is where most recordings end up — the voice memo, the downloaded episode, the dictaphone file, the export from a call. Turning that MP3 into text is the gap between an hour you have to sit through again and a page you search in seconds.
It doesn't matter whether the MP3 is a clean studio bounce or a 64kbps phone recording. Vocce normalizes the loudness, knocks down the noise, and transcribes with word-level timestamps — speech survives heavy compression far better than music, so low-bitrate files still come back accurate.
You get plain text, a summary with the action items, SRT/VTT if you want captions, and a JSON schema for pipelines. Three free minutes per file to check the quality, and nothing charged for a job that fails.
Even 64kbps voice MP3s transcribe well — speech holds up under compression where music would fall apart.
Loudness leveling and noise reduction run first, so quiet talkers and background hum don't come back as blank gaps.
Every line is pinned to the audio; multi-hour files are chunked and stitched back without drift.
Detected automatically, or set the language yourself if you'd rather be sure.
TXT, Markdown, DOCX, SRT, VTT, and a clean JSON schema — not a read-only box you copy out of.
The same job runs from the API, CLI, or an MCP server, so you can push a whole archive through it.
MP3 is the default recording format — turn episodes and interviews into searchable, quotable text.
Recorders and apps that save MP3 feed straight into clean transcripts.
Make years of MP3 recordings text-searchable in one batch pipeline.
Upload the MP3 above. Vocce cleans the audio, transcribes it with timestamps, and exports TXT, DOCX, SRT/VTT, and agent JSON. The first 3 minutes are free with no card.
Accuracy tracks audio quality, which is why files are denoised and loudness-normalized before recognition. The quality report and low-confidence flags show you exactly what to double-check.
Yes — even 64kbps voice recordings transcribe well, since speech survives compression much better than music.
Long files are chunked, transcribed in parallel, and stitched back without timestamp drift.