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vuvanmai936-dot/dsh-ocr-bridge ↗★ 0

dsh-ocr-bridge

将图片粘贴至 DeepSeek Harness 聊天中，并在纯文本 DeepSeek 模型回答前，通过免费的本地后端（macOS Vision / Tesseract）读取图像内容。

AI 分析

核心用途是为纯文本模型补充本地 OCR 识图能力。适合需要粘贴图片并进行本地免费文字识别的用户。要求 DSH 0.1.0-rc.7。

視覺integrations
套件
dsh-ocr-bridge
版本
0.1.1
授權
NOASSERTION
最近更新
2026年8月19日

安裝

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:vuvanmai936-dot/dsh-ocr-bridge

說明文件

閱讀完整 README ↗

Configuration

All settings are optional. They live in the llm-deepseek settings section (the official DeepSeek section this plugin takes over), so your existing DeepSeek settings keep working.

settings.yaml (or the GUI settings surface):

llm-deepseek:
  visionTimeoutMs: 180000   # per-backend recognition timeout (ms), default 180000
  maxImages: 8              # images recognized per request, 1..32, default 8
  # …all official DeepSeek settings keep working: baseURL, apiKeyEnv, thinking, …

Notes:

  • Over the limit, the request fails with VISION_IMAGE_LIMIT instead of silently dropping images.
  • Recognized observations are cached per (image set + latest user text), up to 64 entries, so re-sending the same screenshot in one conversation does not re-run OCR.
  • DEEPSEEK_API_KEY resolution is fully preserved: ctx.credentials first, then the launch environment, exactly like the official adapter.
  • png / jpeg / webp / gif are all supported (whatever the harness attachment admission accepts).