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Transcribana

MP3 to text

Transcribe an MP3 recording into text, with local processing and downloadable subtitle files.

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Start transcribing

Best supported on current desktop Chrome. Codec support, speed and memory vary by browser and device. Mobile transcription is not guaranteed.

Drop an audio or video file here

Interviews, meetings, lectures, and everything worth keeping.

Audio and video files are processed locally in your browser.

Supported file formats

MP3, WAV, M4A, AAC, FLAC, OGG, OPUS, MP4, MOV, WebM, MKV, M4V and 3GP with supported audio codecs. Files are checked locally. AVI, WMA and MPEG/MPG program streams are not supported. Codec support varies by browser.

Your files stay on your device.

Transcription runs locally in your browser. Your audio and video are not uploaded to our servers.

No account. No upload.
Ready when you are0:00 elapsed

Choose a recording to get started.

Progress will appear here.

Arabic uses a dedicated model with about 1.33 GB of weights and CPU/WASM processing. The first run may take several minutes. General model and GPU choices do not change the Arabic model.

Before you start

Select the original MP3 rather than re-encoding it first. Converting a low-quality MP3 to WAV does not restore lost speech detail. The app checks and decodes your file locally.

A workflow that fits your file

For podcast excerpts and voice recordings, choose the spoken language explicitly when you know it. Background music, heavy compression and overlapping voices can affect recognition. There is no automatic speaker labeling.

Review and use the result

Use TXT for notes and quotes after checking the recording. Keep JSON if you need segment times in another workflow. Processing speed depends on your hardware, the model and the length of the recording.

From an MP3 recording to a TXT document

Choose your MP3, select the spoken language and start transcription. Review names and numbers, make any edits in the readable transcript, then select Download TXT. This exports plain text, not a converted audio file. You can also copy the selected text version.

A low-bitrate MP3 may already have lost speech detail; exporting it as WAV will not recover that detail. For a finished podcast episode, check music transitions and guest names. If the source is a voice memo in M4A instead, use the audio-format guidance rather than converting solely to obtain an MP3 extension.

How it works

  1. Choose a recording

    Open an audio or video file. We check its audio track in your browser.

  2. Transcribe on your device

    Choose the spoken language or Auto Detect. Allow the required model to load.

  3. Review, then export

    Listen back to important passages, edit your text and download the format you need.

Your recording never needs to leave your device.

Speech recognition and text checking run locally. The website and model files still need network access. Hosting and model providers can receive ordinary connection information; they do not receive your recording through this tool.

Understand local processing

Questions, answered

Does my recording get uploaded?

No. The browser reads and transcribes it locally. Website assets and model downloads use the network separately.

Can I use it offline?

A model already loaded in an open page can be reused offline. Reloading, switching models or clearing storage may require network access.

Will text corrections change my subtitles?

No. Copy Text and TXT use the selected document version. SRT, VTT and JSON keep the original timed transcription.

Related tools

Useful guides

Ready to put your words to work?

Start transcribing

Your privacy choices

No analytics or advertising services are installed. There are no optional tracking categories to enable. The site stores your explicit language preference; browsers may cache models and website files.