rapiddoc-cli 0.1.1

CLI for RapidAI/RapidDoc — parse PDF/Office documents to Markdown/JSON/Word/HTML

rapiddoc-cli

A command-line interface for RapidAI/RapidDoc — parse PDF / image / Office documents into Markdown / JSON / Word / HTML with a single command.

RapidDoc is a high-performance document parsing pipeline (MinerU fork, VLM removed, ONNX-based) that runs on CPU — no GPU required.

Install

# Recommended: isolated environment (doesn't pollute your system Python)
uv tool install rapiddoc-cli

# Or with pip
pip install rapiddoc-cli

Both expose the rapiddoc command. The first run downloads ONNX models (~50–100 MB) to a cache directory; subsequent runs reuse them.

Usage

rapiddoc paper.pdf                      # → paper.out.md (default: Markdown)
rapiddoc report.pdf -f json             # → report.out.json
rapiddoc notes.docx -f word             # → notes.out.docx (Office native parsing)
rapiddoc scan.png -f html               # → scan.out.html
rapiddoc book.pdf -o book.md --lang en  # English OCR + custom output path
rapiddoc scan.png --no-formula          # skip formula recognition (faster)

Options

rapiddoc <input> [options]

  -o, --output <path>               Output file path
  -f, --format <md|json|word|html>  Output format (default: md)
      --lang <ch|en|...>            OCR language (default: ch)
      --no-formula                  Disable formula recognition
      --no-table                    Disable table recognition
  -h, --help                        Show help

Supported inputs

Type	Formats	How it's parsed
PDF	.pdf	Model pipeline (OCR + layout + formula + table)
Images	.png .jpg .jpeg .bmp .tiff	Model pipeline
Office	.docx .pptx .xlsx	Native parsing (no models, very fast)
Legacy Office	.doc .ppt .xls	Converted to modern format first

Platform support

Platform	Supported	Notes
macOS (Apple Silicon, M-series)	✅	OpenVINO is auto-skipped on ARM; runs on ONNX Runtime. No config needed.
Linux x86_64	✅	OpenVINO used for OCR (fastest on CPU); other stages use ONNX Runtime.
Windows x86_64	✅	Same engine selection as Linux x86_64.
macOS (Intel x86_64)	❌	Not supported. See note below.
No GPU required	—	The whole pipeline runs on CPU. There is no CUDA/MPS path.

Why not Intel Mac?

This is not a limitation of rapiddoc-cli itself — it's an upstream constraint: the required dependencies onnxruntime and openvino (2025.1+) no longer publish wheels for macOS x86_64. As a result pip install rapiddoc-cli will fail on Intel Macs because the underlying model-inference libraries can't be installed.

Intel Mac users can run rapiddoc-cli inside a Linux container/VM (e.g. Docker with a Linux image, or a Linux cloud VM), where x86_64 wheels are fully supported.

How it works

rapiddoc-cli is a thin wrapper around the rapid-doc Python package. It:

1. Initializes a RapidDoc engine (OCR, layout, formula, table models loaded on demand)
2. Parses the input into an intermediate middle_json representation
3. Renders the requested output format:
   • Markdown / JSON: produced directly by the engine
   • Word / HTML: Markdown is generated first, then converted via markdown_to_docx / markdown_to_html (pypandoc / markdown-it-py)

License

Apache-2.0 (same as upstream rapid-doc).