Speechos: Local Speech AI Benchmark Tool
💡Free local benchmark for 25+ speech models—pick winners for your hardware instantly
⚡ 30-Second TL;DR
What Changed
Benchmarks STT (faster-whisper, Vosk), TTS (Piper, Bark, Qwen3-TTS), emotion (HuBERT SER), diarization (PyAnnote)
Why It Matters
Simplifies model selection for local speech AI pipelines, accelerating development without cloud dependency. Enables precise hardware-matched comparisons for practitioners.
What To Do Next
Clone Speechos repo and run ./dev.sh to benchmark your local Whisper vs Piper setup.
Key Points
- •Benchmarks STT (faster-whisper, Vosk), TTS (Piper, Bark, Qwen3-TTS), emotion (HuBERT SER), diarization (PyAnnote)
- •Local-first: mic recording or file input, auto-detects hardware (CPU-2GB to GPU-24GB)
- •Python/FastAPI backend, Next.js frontend; 12 built-in + 13 Docker engines
- •MIT licensed GitHub: https://github.com/miikkij/Speechos with ./dev.sh launch
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