New TTS backend: Kokoro FastAPI (82M) — OpenAI-compatible, 11 built-in
voices, only shows when server is reachable (~300 MB CPU, ~0.1× RTF).
New STT backends in Transcribe dropdown: faster-whisper (CTranslate2 GPU,
~70× RT, 1.5 GB VRAM), whisper.cpp (CPU/CUDA, ~8–15× RT, ~1 GB RAM),
Groq Whisper (fastest cloud, free 2 000 req/day, key shared with Groq LLM).
Backend help panels now show ⚡ speed · ⏰ latency · ⭐ quality · 💾 RAM
metric chips for all TTS and STT backends.
Active Docker Stack cards also get per-container metric chips.
AI Backends section: "Use as STT" / "Use as TTS" one-click buttons on
faster-whisper, whisper.cpp, and Kokoro cards apply URLs to Settings
without leaving the page. Groq Whisper card notes the shared key path.
Settings: Kokoro URL in TTS cluster; faster-whisper URL, whisper.cpp URL,
Groq API key in STT cluster; quick-fill buttons for all local STT engines.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>