EdgeWhisper – On-device voice-to-text for macOS (Voxtral 4B via MLX)

Show HN: EdgeWhisper – On-device voice-to-text for macOS (Voxtral 4B via MLX)

EdgeWhisper – On-device voice-to-text for macOS (Voxtral 4B via MLX) is a business in show hn launch.

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I built a macOS voice dictation app where zero bytes of audio ever leave your machine.EdgeWhisper runs Voxtral Mini 4B Realtime (Mistral AI, Apache 2.0) locally on Apple Silicon via the MLX framework. Hold a key, speak, release — text appears at your cursor in whatever app has focus.Architecture: - Native Swift (SwiftUI + AppKit). No Electron. - Voxtral 4B inference via MLX on the Neural Engine. ~3GB model, runs in ~2GB RAM on M1+. - Dual text injection: AXUIElement (preserves undo stack) with NSPasteboard+CGEvent fallback. - 6-stage post-processing pipeline: filler removal → dictionary → snippets → punctuation → capitalization → formatting. - Sliding window KV cache for unlimited streaming

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Website: edgewhisper.com