DeepSeek Harness 插件

win11-oneocr

DSH 的本地 Windows 11 OneOCR 工具:`oneocr_recognize` 返回 OCR 文本,以及包含行/词多边形、置信度、旋转角度和手写体样式的结构化结果。

跳到安装方式

来源信息

GitHub 仓库
hawkhai/win11-oneocr
最近更新
2026年8月18日
分类
视觉与多模态
GitHub stars
0

安装

默认先复制一段 Prompt,让 Agent 读页面和仓库;需要自己装时再切到命令。

复制这段 Prompt,发给 DSH、Codex 或其他 Agent,让它先读页面和仓库。

请先不要安装。阅读这个 DeepSeek Harness 插件,说明它解决什么问题、会访问哪些文件、网络或密钥,以及如何安装和卸载。

插件页面:https://deepseekplugins.org/zh/plugins/hawkhai/win11-oneocr
GitHub:https://github.com/hawkhai/win11-oneocr
插件名:win11-oneocr
作者:hawkhai
安装命令:dsh plugin --profile web add github:hawkhai/win11-oneocr

确认前不要执行安装命令。

检查来源文件

安装前先看这个插件目录里的 README 和其他文件。

文件资源管理器2 个文件
README.md来源说明 · 只读预览

Windows 11 Snipping Tool OCR (OneOCR)

Offline OCR engine extracted from the Windows 11 Snipping Tool, with full-featured C++ CLI, reusable DLL wrapper, and Python visualization.

Based on: https://b1tg.github.io/post/win11-oneocr/

DeepSeek Harness plugin

This repository can be installed as a DeepSeek Harness plugin:

dsh plugin add github:hawkhai/win11-oneocr

It registers oneocr_recognize, a model-facing tool that accepts a local image path and returns recognized text together with OneOCR's structured line/word polygons, confidence values, image angle, and handwriting style. The tool runs locally on Windows 11; image bytes are not sent to an external OCR service.

The bundle defaults to the prebuilt bin/ocr.exe and its adjacent runtime files. Override ocrBin, timeoutMs, or maxOutputBytes in the plugin row if needed.

Features

FeatureDescription
8-point Bounding Box4-corner polygon bbox for lines and words (not just axis-aligned rect)
Word ConfidencePer-word recognition confidence score (0.0–1.0)
Image AngleDetected rotation angle of the text in the image
Line StyleHandwritten vs. printed text classification with confidence
Resize ResolutionConfigurable max internal resize before OCR (performance/accuracy trade-off)
Resource ReleaseProper cleanup via ReleaseOcrResult, ReleaseOcrPipeline, etc.
Unicode PathFull Unicode file path support via _wfopen in the DLL wrapper
Multi-image BatchProcess multiple images in one invocation
Plain Text Output--text mode for pipe-friendly output (no JSON)
Raw Buffer OCRocrImageRaw() for in-memory BGRA pixel buffers (no file I/O)
VisualizationPython script with confidence-colored word boxes and style labels

Prerequisites

  • Windows 11 (tested on 23H2+)
  • Snipping Tool 11.2409.25.0+

Copy these 3 files from the Snipping Tool installation folder into the same directory as ocr.exe:

  • oneocr.dll
  • oneocr.onemodel
  • onnxruntime.dll

Find the Snipping Tool folder:

Get-AppxPackage Microsoft.ScreenSketch | Select-Object -ExpandProperty InstallLocation

Example: C:\Program Files\WindowsApps\Microsoft.ScreenSketch_11.2409.25.0_x64__8wekyb3d8bbwe\SnippingTool

CLI Usage (ocr.exe)

ocr.exe <image1.png> [image2.jpg ...] [options]

Options

OptionDescription
--text, -tOutput plain text only (no JSON)
--output, -o <file>Write JSON to specified file (default: <image>.json)
--max-lines <n>Max recognition lines, 1–1000 (default 1000)
--resize <WxH>Max internal resize resolution (e.g. 1152x768)
--quiet, -qSuppress progress messages
--help, -hShow help

Examples

# Single image → JSON
ocr.exe screenshot.png

# Plain text output (pipe to file)
ocr.exe screenshot.png --text > result.txt

# Batch process
ocr.exe img1.png img2.jpg img3.bmp

# Custom options
ocr.exe photo.jpg --max-lines 50 --resize 800x600 -o result.json

JSON Output Format

{
  "file": "test.png",
  "image": { "width": 771, "height": 479, "step": 3084 },
  "image_angle": 0.0643,
  "line_count": 2,
  "lines": [
    {
      "index": 0,
      "text": "Hello World",
      "bounding_box": [
        13.0, 38.0, 458.0, 38.0,
        458.0, 77.0, 13.0, 76.0
      ],
      "style": { "type": "printed", "confidence": 0.035 },
      "word_count": 2,
      "words": [
        {
          "index": 0,
          "text": "Hello",
          "bounding_box": [
            14.35, 39.70, 140.35, 41.31,
            139.93, 73.42, 13.78, 74.09
          ],
          "confidence": 0.987
        }
      ]
    }
  ]
}

DLL Wrapper (oneocr_wrapper.dll)

A reusable C DLL wrapper with 3 main APIs:

FunctionDescription
initModel(model_dir)Load DLL + model, initialize pipeline
ocrImage(image_path, json, alloc)OCR an image file → JSON string
ocrImageEx(image_path, json, alloc, max_lines, resize_w, resize_h)OCR with configurable options
ocrImageRaw(pixel_data, w, h, step, json, alloc)OCR on raw BGRA pixel buffer
releaseModel()Clean up all resources

C++ Header-Only Usage (oneocr.h)

#include "oneocr.h"

OneOcr ocr;                               // loads oneocr_wrapper.dll
ocr.initModel(L".");                      // directory with oneocr.dll + .onemodel

std::string json;
ocr.ocrImage(L"test.png", json);          // basic OCR
ocr.ocrImageEx(L"test.png", json, 50);    // max 50 lines
ocr.ocrImageRaw(bgra_ptr, w, h, json);    // raw buffer OCR

Visualization (visualize.py)

python visualize.py <image_path> <json_path> [output_path]

Features:

  • 8-point polygon bounding boxes (lines in red, words colored by confidence)
  • Confidence score labels below each word
  • Handwritten lines highlighted in orange, printed in red
  • Image angle and line count overlay

Build

Requires: MSVC (Visual Studio), json.hpp (nlohmann/json), stb_image.h.

# Build CLI
cl /EHsc /O2 ocr.cpp /Fe:ocr.exe

# Build wrapper DLL
cl /EHsc /O2 /LD oneocr_wrapper.cpp /Fe:oneocr_wrapper.dll

# Build test
cl /EHsc /O2 oneocr_test.cpp /Fe:oneocr_test.exe

Other Implementations

DirectoryLanguageDescription
oneocr/PythonPyPI package with PIL/cv2 input, FastAPI web server
oneocr-rs/Rustcrates.io library with image crate, serde JSON
oneocr-cli/RustMinimal CLI, plain text output
win11_oneocr_py/PythonBasic ctypes script (original Python port)

Credits

License

MIT