Transcribe audio to text free: convert MP3, M4A, WAV, and voice recordings to text with timestamps. Clean audio, transcribe, summarize, and export TXT, DOCX, SRT, VTT, and agent JSON.
The same reliable Vocce pipeline, focused on this job. Start free, then plans from $9.90/mo when you need more.
One hour of talking is around 9,000 words on the page. Typing that out by hand is most of a workday, and scrubbing back through the recording to find a single quote is its own kind of pain. Turning audio to text gets you something you can read, search, and paste — usually in a couple of minutes.
The recordings people actually have are rarely clean: a phone left on the table, two voices talking over each other, a lecturer halfway across a room. Vocce runs every file through the same steps — normalize the loudness, knock down the noise, then transcribe with word-level timestamps — so you're not tweaking settings before anything happens.
What comes back is plain text for your notes, SRT or VTT if the source was video, a summary with the decisions and to-dos pulled out, and a JSON version for whatever runs next. The first three minutes of any file are free to check the quality, and a job that fails doesn't cost you anything.
Loudness leveling and noise reduction run ahead of transcription, so a quiet speaker or a humming AC doesn't come back as a blank gap.
Every line is pinned to the audio. Long files are split, transcribed in parallel, and stitched back so a four-hour recording stays in sync at the seams.
English, Mandarin, Spanish, Hindi, Arabic and dozens more — detected on its own, or set the language yourself if you'd rather not leave it to chance.
TXT, Markdown, DOCX, SRT, VTT, and a clean JSON schema for scripts and agents — not a read-only box you have to copy out of.
Words the model isn't sure about get marked instead of quietly invented, so you know which ten seconds are worth a second listen.
Run it in the browser, or fire the exact same request from the REST API, the CLI, or an MCP server wired into your agent.
Turn interviews and episodes into searchable, quotable transcripts with timestamps — ready for articles, show notes, and clips.
Convert lectures, seminars, and field recordings to text you can skim, annotate, and cite instead of re-listening for hours.
Pipe call recordings into one call and get clean text plus agent-ready JSON your tools can act on automatically.
Drop an MP3, M4A, WAV, or any common audio file into the tool above. Vocce cleans the audio, runs speech recognition, and hands back a timestamped transcript with TXT, DOCX, SRT, and JSON exports. The first three minutes are free, no card needed.
MP3, M4A, WAV, AAC, FLAC, OGG and WMA work directly — and video files like MP4 or MOV are fine too, since Vocce pulls out and normalizes the audio track for you.
Audio is cleaned and loudness-normalized before a word is transcribed, which is where most of the accuracy is won. Every job ships a quality report, and shaky words are flagged rather than guessed.
Yes — that's what the cleanup pass is for. Phone recordings, accented speech, and noisy rooms go in as-is; you don't pre-process anything.
Speaker separation is on the way for multi-person recordings. Today every line carries a timestamp, so following the back-and-forth in a two-person interview is still easy.
Yes. Long files are chunked, transcribed in parallel, and stitched back with continuous timestamps — a four-hour recording doesn't drift at the seams.
Files are processed for your job and not used to train anything. You export what you need and the working copies age out — nothing gets published anywhere.
Every file gets a free three-minute preview with a quality report. Beyond that the free tier covers 30 minutes a month, and paid plans start at $9.90/mo — failed jobs are never billed.