mmqc-utils 0.2.1

Reusable conversion utilities for images, documents, text, and related data types.

mmqc-utils

Reusable conversion utilities for MMQC projects.

Included utilities

• Convert and downscale common image formats (TIFF, JPEG, PNG, GIF, WebP, PDF) to bounded JPEG previews, with optional byte-size budget enforcement
• Convert DOCX, RTF, ODT, TeX, and PDF documents to HTML
• Normalize HTML to plain text

System requirements

• ImageMagick — required for image conversion (convert_to_bounded_jpeg). Install via your system package manager:

  # macOS
  brew install imagemagick
  
  # Debian / Ubuntu
  apt-get install imagemagick
  

• Pandoc — bundled automatically via pypandoc-binary; no separate installation needed.

Installation

pip install mmqc-utils
# or
uv add mmqc-utils

Usage

All functions accept a file path (str or Path), raw bytes/bytearray, or a BinaryIO object.

Document conversion

from mmqc_utils import document_to_html

# From a file path
html = document_to_html("paper.docx")

# From bytes — input_format is required when there is no file extension to infer from
html = document_to_html(raw_bytes, input_format="rtf")

Supported formats: docx, rtf, odt, tex, pdf.

For PDFs, pandoc is tried first; if it cannot convert the file, text is extracted page-by-page via pypdf and wrapped in <div class='page'> elements.

Image conversion

from mmqc_utils import convert_to_bounded_jpeg, compress_to_bounded_jpeg

# Downscale to pixel dimensions
jpeg_bytes = convert_to_bounded_jpeg(
    "figure.tiff",
    rasterization_dpi=150,   # DPI for vector/PDF rasterization
    max_dimension=2000,       # downscale if width or height exceeds this
    compression_quality=80,   # JPEG quality 1–100
    background="white",       # background when removing transparency
)

# Compress until the result fits within a byte-size budget
jpeg_bytes = compress_to_bounded_jpeg(
    "figure.tiff",
    max_bytes=5 * 1024 * 1024,  # 5 MB
    max_dimension=2000,
    compression_quality=80,
)

Both functions accept Path, str, bytes, bytearray, or BinaryIO as input and only render the first page/layer of multi-page TIFFs.

compress_to_bounded_jpeg steps down JPEG quality first (80 → 70 → … → 30), then halves max_dimension and repeats, until the result fits within max_bytes. If the budget cannot be met even at minimum quality and dimension, it returns the smallest result achieved.

Text normalization

from mmqc_utils import html_to_text, compute_plain_text

text = html_to_text("<p>Hello <b>world</b></p>")
# → "Hello world"

compute_plain_text is an alias for html_to_text. Block-level tags (<p>, <div>, <br>, headings, list items, …) are replaced by a space; inline tags are stripped; whitespace is collapsed.

Development

Releasing a New Version

To release a new version of mmqc-utils to PyPI:

1. Update the version number in pyproject.toml.
2. Update the uv.lock file:

   uv lock
   

3. Update the changelog in CHANGELOG.md.
4. Build the distribution:

   just build
   

5. Check the distribution:

   uv run --group publish twine check dist/*
   

6. Upload to TestPyPI (optional but recommended):

   uv run --group publish twine upload --repository testpypi dist/*
   

7. Upload to PyPI:

   uv run --group publish twine upload dist/*