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NoteParser 📚

A comprehensive document parser for converting academic materials to Markdown and LaTeX

Python 3.10+ License: MIT GitHub stars

NoteParser is a powerful academic document processing system built on top of Microsoft's MarkItDown library. It's designed specifically for university students and educators who need to convert various document formats into structured, searchable, and cross-referenced academic notes.


✨ Key Features

🔄 Multi-Format Support

Convert between various academic document formats:

  • Input: PDF, DOCX, PPTX, XLSX, HTML, EPUB, Images, Audio, Video
  • Output: Markdown, LaTeX, HTML

🎓 Academic-Focused Processing

Specialized processing for academic content:

  • Mathematical equations preservation and enhancement
  • Code blocks with syntax highlighting and language detection
  • Bibliography and citation extraction
  • Chemical formulas with proper subscript formatting
  • Academic keyword highlighting (theorem, proof, definition, etc.)

🔌 Extensible Plugin System

Customize processing for different subjects:

  • Course-specific processors (Math, Computer Science, Chemistry)
  • Custom parser plugins for specialized content
  • Easy plugin development with base classes

🌐 Organization Integration

Perfect for course and study group organization:

  • Multi-repository synchronization for course organization
  • Cross-reference detection between related documents
  • Automated GitHub Actions for continuous processing
  • Searchable indexing across all notes

🤖 AI-Powered Intelligence

Advanced AI services for enhanced learning:

  • RagFlow: Semantic search and document insights using RAG
  • DeepWiki: AI-powered knowledge graphs and wiki organization
  • Natural language queries across your entire document collection
  • Automatic concept linking and knowledge organization

🖥️ Multiple Interfaces

Use NoteParser your way:

  • Command-line interface for batch processing
  • Web dashboard for browsing and managing notes
  • Python API for programmatic access
  • REST API endpoints for integration

🚀 Quick Start

Get started in minutes:

# Install NoteParser
pip install noteparser

# Parse your first document
noteparser parse lecture.pdf --format markdown

# Start the web dashboard
noteparser web

Get Started → View on GitHub →


📊 Use Cases

Daily workflow for personal note-taking:

# Convert lecture slides to markdown
noteparser parse "Today's Lecture.pdf"
noteparser sync output/todays-lecture.md --course CS101

Perfect for: - Converting professor slides to searchable notes - OCR handwritten notes from photos - Organizing semester materials

Semester setup and batch processing:

# Process entire semester at once
noteparser init
noteparser batch course-materials/ --recursive
noteparser index --format json > course-index.json

Perfect for: - Organizing multiple courses - Batch processing assignments - Creating searchable course indexes

Collaborative note sharing:

# Process shared materials
noteparser parse shared-notes.docx --format markdown
git add . && git commit -m "Add processed notes"
git push origin main  # Triggers auto-sync

Perfect for: - Sharing processed notes with teammates - Automated GitHub Actions integration - Consistent formatting across contributors

Academic research processing:

# Convert research papers
noteparser parse "Research Paper.pdf" --format latex
noteparser web  # Browse and cross-reference

Perfect for: - Literature review processing - Cross-referencing related papers - Extracting citations and references


🛠️ Advanced Features

Smart Content Detection

  • Mathematical equations with LaTeX formatting preservation
  • Code blocks with automatic language detection
  • Citations in APA, MLA, IEEE formats
  • Figures and tables with structured conversion

Metadata Extraction

  • Course identification from file names and paths
  • Topic extraction and automatic categorization
  • Author and date detection
  • Academic keywords and tagging

Cross-References

  • Similar content detection across documents
  • Prerequisite tracking between topics
  • Citation network visualization
  • Knowledge graph construction

🤝 Community

Join our growing community of students and educators:


📄 License

This project is licensed under the MIT License - see the LICENSE file for details.


Made with ❤️ for students, by a student

Transform your study materials into a searchable, interconnected knowledge base