Speech To Text Made Simple

In a world where so much knowledge lives in audio (meetings, interviews, calls, voice notes, podcasts), manually typing it out is slow, costly, and inconsistent.

Use Speech Recognition to turn sound into text. The system cleans the audio, detects speech segments, and a transformer model decodes them into words with precise timestamps.

Once the raw transcript is produced, an LLM refines it, correcting errors, understanding context, and organizing key points, action items, or entities into structured fields.

You get a clean, accurate, and structured transcript of the original audio, timestamped, summaries, automation, reporting, or analysis via JSON.