janhq/ichigo

• highreadme#1

  Reposition the README H1 and opening paragraph to clarify core purpose

  原因：

  当前

  # :strawberry: Ichigo: A simple speech package for developers
  
  Welcome to **Ichigo**, a streamlined speech package designed to empower developers with cutting-edge speech models and tools...

  复制粘贴的修复

  复制

  # :strawberry: Ichigo: Local Real-time Voice AI for Developers
  
  Welcome to **Ichigo**, a streamlined Python package and FastAPI service for **local, real-time voice AI**, offering cutting-edge Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Speech Language Model (SLM) capabilities. Designed for developers, Ichigo simplifies the integration of powerful speech models, letting you focus on deploying and improving your systems without the complexities of audio processing.

  待办完成忽略
• hightopics#2

  Add relevant topics to improve categorization and searchability

  原因：

  当前

  (none)

  复制粘贴的修复

  复制

  voice-ai, speech-to-text, text-to-speech, speech-recognition, speech-language-model, real-time, local-inference, python, fastapi, asr, tts, llm

  待办完成忽略
• highlicense#3

  Add a LICENSE file and clarify licensing in the README

  原因：

  当前

  (no LICENSE file detected — the repo has no recognizable license)

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0, depending on project intent). Additionally, add a section to the README under 'About' or 'Installation' titled 'License' stating: 'Ichigo is released under the [License Name] License. See the [LICENSE file](LICENSE) for details.'

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Need a local speech-to-text and speech language model for a real-time voice assistant.

  你：未被推荐
  AI 推荐顺序：

  1. Whisper
  2. Llama 3
  3. Mixtral 8x7B
  4. Gemma
  5. Ollama
  6. Vosk
  7. Mozilla DeepSpeech
  8. Picovoice Rhino
  9. Picovoice Porcupine
  10. Coqui STT

  AI 推荐了 10 个替代方案，却始终没点名 janhq/ichigo。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What frameworks enable developers to build on-device voice AI applications with Python?

  你：未被推荐
  AI 推荐顺序：

  1. Picovoice Porcupine & Rhino
  2. Mozilla DeepSpeech
  3. Vosk
  4. OpenVINO
  5. TensorFlow Lite
  6. PyTorch Mobile

  AI 推荐了 6 个替代方案，却始终没点名 janhq/ichigo。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  fail

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of janhq/ichigo?

  pass
  ✓AI 明确点名了 janhq/ichigo

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts janhq/ichigo in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 janhq/ichigo

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo janhq/ichigo solve, and who is the primary audience?

  pass
  ⚠AI 未点名 janhq/ichigo —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？