janhq/ichigo

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

2492 stars · 149 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Ichigo is a Python speech package for developers offering local realtime voice AI capabilities, including a compact 22M-parameter speech tokenizer (Ichigo-ASR) built on Whisper-medium and an experimental speech language model (Ichigo-LLM). It provides inference-only code with intuitive Python interfaces and a scalable FastAPI service for speech tasks.

Use cases

• transcribe audio to text locally
• run speech recognition offline
• build a realtime voice assistant
• convert speech into discrete tokens for LLMs
• batch process audio files for transcription
• serve speech recognition via a FastAPI endpoint
• experiment with speech language models

When to choose

• you need local, privacy-preserving speech recognition without cloud APIs
• you want a lightweight ASR model that integrates with LLMs via discrete tokens
• you need multilingual transcription (English, Vietnamese) with a small model
• you want both a Python API and a FastAPI service for speech tasks

When to avoid

• you need production-grade text-to-speech today (TTS is listed as coming soon)
• you require a commercially licensed dependency (no license is specified)
• you need highly accurate ASR across many languages beyond English and Vietnamese
• you want training code rather than inference only

Facets

library · maturity active

speech-recognition tts llm-inference audio-processing machine-learning speech-processing artificial-intelligence python cross-platform asr voice-ai local-inference speech-tokens fastapi whisper natural-language-processing audio gpu

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