macocr

An OCR Tool using Apple's Vision Framework API.

Command Line Arguments

OCR Tool using Vision Framework API

Usage: macocr [OPTIONS] [FILES]...

Arguments:
  [FILES]...  Input files

Options:
  -o, --ocr          OCR and export text files
  -s, --server       Run HTTP Server
  -a, --auth <AUTH>  HTTP Basic Auth (username:password) [default: ]
  -p, --port <PORT>  HTTP port number [default: 8000]
  -h, --help         Print help
  -V, --version      Print version

How to use

Read images and perform OCR, then output the result to text files

macocr -o *.png

Start the OCR HTTP server and specify the HTTP port

macocr -s -p 80

Start the OCR HTTP server and configure HTTP Basic Auth

macocr -s -a admin:password123 -p 80

After starting the HTTP server, you can upload an image from the homepage HTML or use curl to send an image via the upload API:

curl -u admin:password123 \
  -H "Accept: application/json" \
  -X POST http://localhost:80/upload \
  -F "file=@01.png"

The JSON response looks like this:

{
  "success": true,
  "message": "File uploaded successfully",
  "ocr_result": "Hello\nWorld\n",
  "image_width": 1247,
  "image_height": 648,
  "ocr_boxes": [
    {
      "text": "Hello",
      "x": 434.7201472051599,
      "y": 269.3123034733379,
      "w": 216.30970547749456,
      "h": 69.04344177246088
    },
    {
      "text": "World",
      "x": 429.5100030105896,
      "y": 420.4043957924413,
      "w": 242.85499225518635,
      "h": 73.382080078125
    }
  ]
}

image_width and image_height represent the width and height of the image (in px), x and y represent the top-left origin of the text bounding box (in px), w and h represent the width and height of the text bounding box (in px).

Installation

Install by cargo

# Install Rust
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

# Install macocr
cargo install macocr
macocr -h

Features

• Directly invoke Apple's Vision Framework API for OCR
• Command-line mode: allows batch processing of image files and exports OCR results as TXT files
• HTTP server mode: provides a web interface to upload images and return OCR results
• Supports both HTML form upload and API interfaces
• Configurable HTTP Basic Auth authentication
• The maximum upload image size is 100 MB

Use cases

• macOS users need to perform batch OCR processing

• Applications that need to integrate OCR functionality via API

License

MIT License