Turn Khmer Audio into Accurate Text

Every transcript is passed through forced alignment after transcription, which matches each word back to the audio. That gives per-line start and end times accurate enough to use directly as subtitles.

Yes. Segments are labelled by speaker automatically. You can rename each speaker and give them a colour, and the labels carry through to your exports.

Common formats including MP3, WAV, M4A and OGG. You can also record directly in the browser. Each run handles up to one hour of audio, and you can trim a longer file down to the section you need.

Transcription draws on the same monthly credits as speech generation, so there is no separate plan to buy. The free plan includes roughly 11 minutes of transcription per month, and paid plans scale from about 2.7 hours up to 55 hours.

Yes. Export to SRT or VTT and drop the file straight into your video editor. You can also cap how many words appear per line, so long sentences are split into readable caption cues on real word timings.

Yes. There is an OpenAI-compatible transcription endpoint, so existing code that calls audio.transcriptions.create works by changing the base URL. See the API docs for details.