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Superwhisper releases S1-mini for cleaning speech-to-text transcripts

By PulseAugur Editorial · [2 sources] ·

Superwhisper has released S1-mini, a 0.6 billion parameter language model designed to clean up raw speech-to-text transcripts. The model removes filler words, corrects self-corrections, adds punctuation and capitalization, and formats numerical data. It achieves 94.8% token accuracy on English text and can run on a laptop CPU, with quantized builds available. S1-mini is fine-tuned from Qwen/Qwen3-0.6B and is available on Hugging Face, with instructions for integration into various libraries and applications. AI

IMPACT Enables more accurate and polished transcription services by cleaning raw ASR output.

RANK_REASON Model release from a developer with instructions for integration. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Superwhisper releases S1-mini for cleaning speech-to-text transcripts

COVERAGE [2]

  1. Hugging Face Trending Models TIER_1 English(EN) · superwhisper ·

    superwhisper/s1-mini

    text-generation · 0 downloads · 96 likes

  2. r/LocalLLaMA TIER_1 English(EN) · /u/xenovatech ·

    S1-mini by Superwhisper running 100% locally in the browser on WebGPU with Transformers.js

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vsze11/s1mini_by_superwhisper_running_100_locally_in_the/"> <img alt="S1-mini by Superwhisper running 100% locally in the browser on WebGPU with Transformers.js" src="https://external-preview.redd.it/aXpqaWh3…

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