
Transcribe MP3 to TXT
Upload MP3 recordings, whether audiobooks, radio shows, or years of recorded calls, and get accurate transcripts in 90+ languages.
Upload MP3 recordings, whether audiobooks, radio shows, or years of recorded calls, and get accurate transcripts in 90+ languages.

Interviews.pdf
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Scribe quickly transcribes compressed MP3 files, from a single recording to a full archive.
Upload an MP3 from any source, across old recorders, call systems, and export folders, straight from your device or cloud storage. No re-encoding required.
Every word carries a timestamp, so you jump to any moment in a two-hour file. Correct names, fix punctuation, and reassign speakers directly in the editor.
Download TXT, DOCX, PDF, JSON, SRT, or VTT, then move on to the next recording. The workflow stays the same whether you have one file or 100.
Archives are long, compressed, and rarely pristine. Scribe turns them into structured transcripts with speakers, timestamps, and context intact.
MP3 compression strips audio detail, yet Scribe still outperforms every major streaming ASR service in class. Low-bitrate files from old devices come back as clean, readable text.
Find a word in a three-hour transcript, click it, and fix it in place. Split and merge segments or reassign speakers without leaving the page.


Scribe recognizes 90+ languages, including underserved ones, and switches between them on its own. A mixed-language archive needs no sorting before upload.
Upload MP3, WAV, M4A, AAC, FLAC, and OGG audio alongside MP4 and MOV video. Mixed folders go through one workflow, with no conversion pass first.
Scribe marks laughter, applause, and other non-speech sounds inside the transcript. In a broadcast archive, you see where the audience reacted, not just what was said.
Scribe labels up to 32 speakers and timestamps every word they say. Multi-party recorded calls come back with each voice attributed from start to finish.

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“I use ElevenLabs primarily for transcribing audio messages, and I find its accuracy to be a major highlight. This precision allows me to analyze students' reading fluency effectively, even when the speaker is a young student still learning to read, which is crucial for understanding each student's progress.”

Pedro A.
Head of technology
“Perfect for transcribing interviews - and the voice quality is amazing when preparing for a speech.”

Izabela M.
Customer Experience Researcher
“Remarkable inference speed of the Scribe v2 model by ElevenLabs, delivering near real-time latency on transcription requests, significantly faster than other models we've tried.”

Vedaswaroop I.
Founder
Add human review to editing so your message always lands.

Integrate transcription directly into your product with a few lines of code.

Turn audio to text using our ElevenCreative web platform.

We accept MP3, WAV, M4A, AAC, FLAC, and OGG audio files, plus video formats like MP4, MOV, AVI, and MKV. Upload any of them directly - Scribe reads compressed and uncompressed audio alike, so an archive mixing old MP3s with newer lossless files goes through one workflow with no conversion step.
Scribe leads accuracy benchmarks, ahead of every major competing model. That accuracy holds on compressed MP3 audio, so recordings from older recorders and phone systems produce reliable transcripts. Speaker labels, word-level timestamps, and audio event tags come through intact, and results stay consistent across 90+ languages, accents, and dialects.
Click any word in the transcript to correct it in place, split or merge segments, and reassign speakers without leaving the page. Word-level timestamps keep even a three-hour MP3 navigable, so you search for a phrase, jump to that moment, and fix names or punctuation before exporting.
You export MP3 transcripts as TXT, DOCX, PDF, JSON, SRT, VTT, or HTML. Choose plain text for notes and documents, SRT or VTT for captions and subtitles, and JSON for feeding an archive index or a downstream pipeline. Every format keeps the workflow identical from one recording to the next.
Scribe transcribes 90+ languages and detects each one automatically, even when a recording changes language partway through. Multilingual interviews, calls, and broadcasts come back as one coherent transcript, with speaker labels and word-level timestamps intact in every language, so nothing in a mixed-language collection needs special handling before upload.
