mmpdfkit 0.1.1

Convert Burmese PDFs to clean, usable Markdown and text for AI applications, data analysis, and vectorization

mmpdfkit

Convert Burmese PDFs to clean, usable Markdown and text for AI applications, data analysis, and vectorization.

What is mmpdfkit?

mmpdfkit solves a critical problem for anyone working with Burmese/Myanmar text: extracting usable content from PDFs with mixed encodings, legacy fonts, and scanned documents.

Burmese PDFs often contain text in multiple non-Unicode encodings (Win Myanmar, Zawgyi) or are entirely scanned. This makes them unsuitable for AI model input, vectorization, or modern text processing pipelines. mmpdfkit automatically:

• Detects and converts legacy Myanmar encodings (Win Myanmar, Zawgyi) to proper Unicode
• Extracts text with layout preservation via Markdown formatting
• OCR scans for documents that are image-based
• Preserves structure (headings, paragraphs, spacing) during conversion

Use Cases

• AI/LLM contexts — Clean Burmese text for prompt context or fine-tuning
• Vectorization — Prepare PDFs for embedding and vector databases
• Text analysis — Linguistic research on Burmese corpora
• Content migration — Convert legacy Burmese digital archives to modern formats

Install

# Standard install (as library + CLI)
pip install -e ".[dev]"

# With OCR support
pip install -e ".[dev,ocr]"

# Set up pre-commit hooks (runs ruff linting and formatting on commit)
pre-commit install

Usage

Quick Start

# Convert PDF to Markdown (output next to input)
mmpdfkit example.pdf          # → example.md

# Convert all PDFs in a directory
mmpdfkit samples/             # → all .md files in same dir

# Skip OCR for scanned documents
mmpdfkit example.pdf --no-ocr

# Custom output directory
mmpdfkit example.pdf --output-dir ./out/

Inspect PDF Metadata

# Extract font/text metadata as JSON
mmpdfkit inspect example.pdf    # → example_inspection.json

# Inspect all PDFs in directory
mmpdfkit inspect samples/

One-Shot Usage (No Install)

# Run directly with uv (fastest, no OCR)
uvx mmpdfkit example.pdf

# With OCR support for scanned PDFs
uvx --with paddleocr mmpdfkit example.pdf

Library Usage

from mmpdfkit import pdf_to_markdown, inspect_pdf

# Convert PDF to markdown string
md = pdf_to_markdown("example.pdf")

# Inspect PDF metadata
inspection = inspect_pdf("example.pdf")

Advanced: OCR Configuration

Scanned PDFs are automatically processed with OCR (when paddleocr is installed).

Optional configuration at ~/.mmpdfkit/config.yaml:

enable_ocr: false  # Set to false to disable OCR by default

Developer Usage

# Run as module (for development/debugging)
python -m mmpdfkit.markdown samples/example.pdf
python -m mmpdfkit.pdf_inspector samples/example.pdf

Testing

Run the test suite:

pytest tests/ -v

Test fixture: test-pdfs/test.pdf is a minimal 3-page fixture combining sample pages from various Myanmar PDFs (digital typeset + scanned pages) for testing both text extraction and OCR pipelines.