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dsh-local-ocr

已验证 · 实测可装 littlewrite

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2026-08-16最近推送
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功能简介

An on-demand local OCR plugin for DeepSeek Harness, powered by macOS Vision and Windows Media OCR.

✅
我们的评价
可用 — 实测通过,早期项目

An on-demand local OCR plugin for DeepSeek Harness, powered by macOS Vision and Windows Media OCR. 实测能干净安装、正常启动。早期项目,但功能可用。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

dsh-local-ocr

English | 简体中文

An independent local OCR library and DeepSeek Harness tool plugin for macOS and Windows. It does not modify deepseek-harness, own a cache, or decide when OCR should run.

The native adapter uses @napi-rs/system-ocr, which exposes macOS system OCR and Windows Media OCR through one Node.js API. Its native work credits win-ocr-rs and mac-system-ocr.

Install

Requirements: Node.js 20 or newer, pnpm, and an installed DeepSeek Harness dsh command.

Install the plugin into the Web profile directly from GitHub:

npx -y github:littlewrite/dsh-local-ocr install

The installer adds the bundle to the selected Harness profile. Restart dsh web after installation. To select another profile:

npx -y github:littlewrite/dsh-local-ocr install --profile web

To remove it:

npx -y github:littlewrite/dsh-local-ocr uninstall --profile web

For local development, clone the repository and install its dependencies:

git clone https://github.com/littlewrite/dsh-local-ocr.git
cd dsh-local-ocr
pnpm install

The current native dependency supports macOS and Windows. Linux is not supported by this MVP.

DeepSeek Harness plugin

The bundle loads dsh-plugin/index.js. It registers one model-facing tool, local_ocr_image, and creates the OCR service without loading the native addon. The addon loads only when the model calls the tool.

Start Harness normally from the Harness repository:

cd /path/to/deepseek-harness
pnpm dsh web

When the plugin is loaded from a source checkout, it expects the Harness checkout to be the current working directory. Set DSH_HARNESS_ROOT only when it is loaded from another launcher or packaged installation.

Ask the agent to call local_ocr_image with an absolute local image path:

Please call the `local_ocr_image` tool instead of `read_image`.
Read all text from this local image:
/absolute/path/to/image.png

Library API

import { createOcrService } from './src/ocr.js'

const ocr = createOcrService()
const result = await ocr.recognize({
  path: '/tmp/image.png',
  languages: ['zh-cn', 'en-US'],
  mode: 'accurate',
  signal,
})

The result contains stable fields only:

{
  "text": "recognized text",
  "confidence": 0.8,
  "engine": "darwin-system-ocr",
  "durationMs": 12
}

An image with no detectable text returns an empty text value and confidence: 0. Set emptyWhenNoText: false to preserve the native no-text error.

Development

pnpm test

Tests inject a fake engine, so they do not require a host OCR runtime. Native smoke tests should run on each supported operating system.

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-local-ocr」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:littlewrite/dsh-local-ocr

Headless(CLI)profile:

dsh plugin --profile headless add github:littlewrite/dsh-local-ocr

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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