Speech to Text
Three model tiers and SRT subtitle export
On this page
Speech to Text: the guide
Turn audio into timestamped text, entirely in your browser - the audio never leaves your device. Entry point: https://lab.stsqz.com/transcribe.
Supported formats
Common audio formats all work (mp3, wav, m4a, ogg, and more). Files over five minutes are trimmed to the first five minutes by default; trim longer material first in the Audio & Video tool.
Choosing a model tier
| Tier | Size | Notes |
|---|---|---|
| tiny | ~41MB | Fastest; good for clean single-speaker audio |
| base | ~77MB | The balanced pick |
| small | ~249MB | Most accurate; good for noisy recordings |
All three tiers are Whisper-family models. You download once, the model caches in your browser, and it keeps working offline. Switching tiers downloads that tier's model; earlier caches stay put so you can switch back anytime.
What happens during transcription
The engine slices your audio into ~30-second chunks and recognizes them one by one while the page shows live progress. Results come back as segments with start and end timestamps. You can set the language manually - if the audio is Mandarin, say so, and the engine skips language guessing, which is both faster and more accurate.
Export
- Copy directly - one click copies the full text, ready to paste anywhere
- SRT subtitles - export a standard SRT file with the timeline already aligned; drop it straight into your editor or player
Pair it with the Audio & Video tool for a complete subtitle workflow: transcribe, export SRT, then burn the subtitles into the video.
FAQ
The results aren't accurate
- Step up to a higher tier
- Keep the source clean; heavy background music hurts accuracy
- Mandarin Chinese works best; for other languages, try the tiny tier first to confirm it's usable
Stuck on loading
First use downloads the model - a few hundred MB can take minutes on a slow connection. The page shows progress; don't close it. You only download once.
sts Team