Summary
Sumi is an open-source, local voice-to-text tool built to address the bottleneck of typing instructions to multiple AI agents. It features a two-stage pipeline, using Whisper or a custom Rust-implemented, quantized Qwen3-ASR model for speech recognition, which is noted for better handling of accented speech and dialects. The tool then performs local AI polishing, ensuring privacy and speed by processing all data on the user's machine.
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