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S1-mini Enables Local Browser Inference

·2026.08.20 06:14

Key point

Superwhisper's 600M parameter LLM, S1-mini, runs locally in the browser via WebGPU.

Details

A demo has been released for the S1-mini model developed by Superwhisper, which runs 100% locally in the browser environment using Transformers.js and WebGPU.

S1-mini is a 600M parameter LLM specialized in converting raw speech recognition (STT) text into clean sentences.

Key features include:

  • Sentence Cleanup: Removes unnecessary parts such as false starts and self-corrections
  • Grammar Correction: Automatically inserts punctuation and capitalization
  • Formatting: Converts colloquial expressions for numbers, dates, times, currencies, etc., into standard formats

The model and demo are available on Hugging Face, allowing developers to test them directly.

local-llmspeech-to-textwebgpusuperwhispers1-minitransformers.js
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