AI BriefingSuperwhisper S1-mini (8 min read)
·2026.08.20 09:00
Key point
Superwhisper has released S1-mini, a 0.6B parameter text normalization model that runs on CPU.
Details
The S1-mini model by Superwhisper is a 0.6B parameter text normalization model that converts speech recognition (ASR) output into clean text.
This model achieves 94.8% token accuracy when converting raw ASR transcripts and is optimized for English.
Key features include:
- Runs smoothly even in CPU environments
- Requires a specific input format including control lines for style, structure, and context settings
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transcribe.cpp