We Transcriber exploits the Web Speech API to deliver real-time speech-to-text entirely in the browser. There is no backend, no audio upload, and no subscription — recognition runs locally via the browser engine.
The main engineering challenge was managing the streaming nature of the Speech API: interim results arrive as partial transcriptions before a final result is committed. The UI needed to display these partial results fluidly without causing layout jumps or losing already-committed text segments.
The result is a clean, zero-friction transcription tool useful for meetings, lectures, or accessibility needs — deployed as a static site with no infrastructure costs.
