paddleocr-cli 0.2.0

A command-line tool for OCR using PaddleOCR AI Studio API

PaddleOCR CLI

A command-line tool for OCR using PaddleOCR AI Studio API.

Available in both Go (native binary) and Python versions.

Installation

Go Version (Recommended)

Download Binary

Download the latest release from GitHub Releases.

Using Homebrew (macOS/Linux)

brew install Explorer1092/tap/paddleocr-cli

Build from Source

git clone https://github.com/Explorer1092/paddleocr_cli.git
cd paddleocr_cli
go build -o paddleocr-cli ./cmd/paddleocr-cli

Python Version

Using pip

pip install paddleocr-cli

Using uv

uv pip install paddleocr-cli

Using Poetry (Development)

git clone https://github.com/Explorer1092/paddleocr_cli.git
cd paddleocr_cli
poetry install

Quick Start

1. Configure credentials

# Configure (default saves to user directory)
paddleocr-cli configure --server-url https://your-server.com --token YOUR_TOKEN

# Configure with scope
paddleocr-cli configure --server-url URL --token TOKEN -s project  # project root
paddleocr-cli configure --server-url URL --token TOKEN -s local    # current directory
paddleocr-cli configure --server-url URL --token TOKEN -s user     # ~/.config/ (default)

# Verify configuration
paddleocr-cli configure --show

# Test connection
paddleocr-cli configure --test

2. Run OCR

# Output to stdout
paddleocr-cli resume.pdf

# Output to file
paddleocr-cli resume.pdf -o output.md

# Output as JSON
paddleocr-cli resume.pdf --json

Usage

paddleocr-cli [OPTIONS] FILE

positional arguments:
  FILE                  Path to PDF or image file

options:
  -o, --output FILE     Output file path (default: stdout)
  --json                Output as JSON instead of markdown
  --page N              Extract only page N (0-indexed)
  --no-separator        Don't add page separators in markdown output
  --timeout SECONDS     Request timeout in seconds (default: 120)
  --orientation         Enable document orientation classification
  --unwarp              Enable document unwarping
  --chart               Enable chart recognition
  -q, --quiet           Suppress progress messages
  --config FILE         Path to config file

Configure subcommand

paddleocr-cli configure [OPTIONS]

options:
  --server-url URL      Set the server URL (required)
  --token TOKEN         Set the access token (required)
  -s, --scope SCOPE     Installation scope (default: user)
                        user    - ~/.config/paddleocr_cli/
                        project - project root (alongside .claude/)
                        local   - current directory
  --show                Show current configuration
  --test                Test connection to the server
  --locations           Show config file search locations

Configuration

Configuration is stored in YAML format (.paddleocr_cli.yaml). The tool searches for config files in this order:

1. Current directory: ./.paddleocr_cli.yaml
2. Project root: <project>/.paddleocr_cli.yaml (alongside .claude/ directory)
3. User directory: ~/.config/paddleocr_cli/config.yaml

Config file format

paddleocr:
  server_url: "https://your-server.aistudio-app.com"
  access_token: "your_token_here"

Python API

You can also use the Python library programmatically:

from paddleocr_cli import PaddleOCRClient, Config, PaddleOCRConfig

# Use default config (from config files)
client = PaddleOCRClient()

# Or provide custom config
config = Config(
    paddleocr=PaddleOCRConfig(
        server_url="https://your-server.com",
        access_token="your_token",
    )
)
client = PaddleOCRClient(config)

# Perform OCR
result = client.ocr_file("document.pdf")

if result.success:
    print(result.full_markdown)
    for page in result.pages:
        print(f"Page {page.page_index}: {len(page.markdown)} chars")
else:
    print(f"Error: {result.error_message}")

Running Python version as a module

# Using python -m
python -m paddleocr_cli resume.pdf

# Using poetry
poetry run paddleocr-cli resume.pdf

# Using uv
uv run paddleocr-cli resume.pdf

License

MIT License