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Transcribana

Generate subtitles from a recording

Create original-language subtitle files from audio or video, with estimated start and end times.

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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

Transcribe the recording, then open the Subtitles view. It shows the original speech segments and model-estimated timestamps. Review cue boundaries against your video before publishing.

A workflow that fits your file

Export SRT for common editor workflows or VTT for web video. No extra inference is needed to switch between these formats. Segments with missing or invalid times are excluded from timed exports and remain in text and JSON.

Review and use the result

This is a starting subtitle track, not a finished caption-editing suite. Speaker labels, sound-effect descriptions, line-length styling and burned-in captions are not generated. Correct readable text separately; subtitle exports retain the original wording.

Create captions from speech, then review them in context

Select the final audio or video, transcribe, and open Subtitles to inspect recognized text with its times. Download SRT or VTT for the destination player. This produces same-language speech captions; it does not translate, identify speakers, label sound effects or burn text into the video.

Check whether a cue appears when its words are audible and stays readable. Recognition segments are not a professional caption layout. Document edits do not flow into these cues. The subtitle format guide explains what each export contains; podcast publishing guidance covers keeping the timing aligned to a final edit.

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.