# NoteParser 📚
**A comprehensive document parser for converting academic materials to Markdown and LaTeX**
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)
NoteParser is a powerful academic document processing system built on top of Microsoft's [MarkItDown](https://github.com/microsoft/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**
- **Documents**: PDF, DOCX, PPTX, XLSX, HTML, EPUB
- **Media**: Images with OCR, Audio/Video with transcription
- **Output**: Markdown, LaTeX, HTML
### 🎓 **Academic-Focused Processing**
- **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**
- **Course-specific processors** (Math, Computer Science, Chemistry)
- **Custom parser plugins** for specialized content
- **Easy plugin development** with base classes
### 🌐 **Organization Integration**
- **Multi-repository synchronization** for course organization
- **Cross-reference detection** between related documents
- **Automated GitHub Actions** for continuous processing
- **Searchable indexing** across all notes
### 🖥️ **Multiple Interfaces**
- **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
### Installation
#### Option 1: Using pip (Recommended)
```bash
# Install from PyPI (when available)
pip install noteparser
# Or install from source with pip
git clone https://github.com/yourusername/noteparser.git
cd noteparser
pip install -e .
# For development (includes testing and linting tools)
pip install -e .[dev]
# For all features including development tools
pip install -e .[all]
```
#### Option 2: Using requirements.txt
```bash
# Clone the repository
git clone https://github.com/yourusername/noteparser.git
cd noteparser
# Create a virtual environment (recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# For development
pip install -r requirements-dev.txt
# Install the package
pip install -e .
```
#### System Dependencies
Some features require system packages:
```bash
# Ubuntu/Debian
sudo apt-get update
sudo apt-get install -y \
tesseract-ocr \
tesseract-ocr-eng \
ffmpeg \
poppler-utils
# macOS
brew install tesseract ffmpeg poppler
# Windows (using Chocolatey)
choco install tesseract ffmpeg poppler
```
### Basic Usage
```bash
# Initialize in your project directory
noteparser init
# Parse a single document
noteparser parse lecture.pdf --format markdown
# Batch process a directory
noteparser batch input/ --recursive --format latex
# Start the web dashboard
noteparser web --host 0.0.0.0 --port 5000
# Sync to organization repository
noteparser sync output/*.md --target-repo study-notes --course CS101
```
### Python API
```python
from noteparser import NoteParser
from noteparser.integration import OrganizationSync
# Initialize parser
parser = NoteParser(llm_client=your_llm_client) # Optional: for image descriptions
# Parse single document
result = parser.parse_to_markdown("lecture.pdf")
print(result['content'])
# Batch processing
results = parser.parse_batch("notes/", output_format="markdown")
# Organization sync
org_sync = OrganizationSync()
sync_result = org_sync.sync_parsed_notes(
source_files=["note1.md", "note2.md"],
target_repo="study-notes",
course="CS101"
)
```
## 📁 Project Structure
```
your-study-organization/
├── noteparser/ # This repository - parsing engine
├── study-notes/ # Main notes repository
│ ├── courses/
│ │ ├── CS101/
│ │ ├── MATH201/
│ │ └── PHYS301/
│ └── .noteparser.yml # Organization configuration
├── note-templates/ # Shared LaTeX/Markdown templates
├── note-extensions/ # Custom plugins
└── note-dashboard/ # Optional: separate web interface
```
## ⚙️ Configuration
### Organization Configuration (`.noteparser-org.yml`)
```yaml
organization:
name: "my-study-notes"
base_path: "."
auto_discovery: true
repositories:
study-notes:
type: "notes"
auto_sync: true
formats: ["markdown", "latex"]
noteparser:
type: "parser"
auto_sync: false
sync_settings:
auto_commit: true
commit_message_template: "Auto-sync: {timestamp} - {file_count} files updated"
branch: "main"
push_on_sync: false
cross_references:
enabled: true
similarity_threshold: 0.7
max_suggestions: 5
```
### Plugin Configuration
```yaml
plugins:
math_processor:
enabled: true
config:
equation_numbering: true
symbol_standardization: true
cs_processor:
enabled: true
config:
code_line_numbers: true
auto_language_detection: true
```
## 🔌 Plugin Development
Create custom plugins for specialized course content:
```python
from noteparser.plugins import BasePlugin
class ChemistryPlugin(BasePlugin):
name = "chemistry_processor"
version = "1.0.0"
description = "Enhanced processing for chemistry courses"
course_types = ['chemistry', 'organic', 'biochemistry']
def process_content(self, content: str, metadata: Dict[str, Any]) -> Dict[str, Any]:
# Your custom processing logic here
processed_content = self.enhance_chemical_formulas(content)
return {
'content': processed_content,
'metadata': {**metadata, 'chemical_formulas_found': count}
}
```
## 🌊 GitHub Actions Integration
Automatic processing when you push new documents:
```yaml
# .github/workflows/parse-notes.yml
name: Parse and Sync Notes
on:
push:
paths: ['input/**', 'raw-notes/**']
jobs:
parse-notes:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Install dependencies
run: pip install noteparser[all]
- name: Parse documents
run: noteparser batch input/ --format markdown
- name: Sync to study-notes
run: noteparser sync output/*.md --target-repo study-notes
```
## 🖥️ Web Dashboard
Access the web interface at `http://localhost:5000` after running:
```bash
noteparser web
```
Features:
- **Browse** all repositories and courses
- **Search** across all notes
- **View** documents with syntax highlighting
- **Parse** new documents through the web interface
- **Manage** plugins and configuration
- **Monitor** sync status and cross-references
## 📊 Use Cases
### 📖 **Individual Student**
```bash
# Daily workflow
noteparser parse "Today's Lecture.pdf"
noteparser sync output/todays-lecture.md --course CS101
```
### 🏫 **Course Organization**
```bash
# Semester setup
noteparser init
noteparser batch course-materials/ --recursive
noteparser index --format json > course-index.json
```
### 👥 **Study Group**
```bash
# Collaborative notes
noteparser parse shared-notes.docx --format markdown
git add . && git commit -m "Add processed notes"
git push origin main # Triggers auto-sync via GitHub Actions
```
### 🔬 **Research Lab**
```bash
# Research paper processing
noteparser parse "Research Paper.pdf" --format latex
noteparser web # Browse and cross-reference with existing notes
```
## 📚 Advanced Features
### 🔍 **Smart Content Detection**
- **Mathematical equations**: Automatic LaTeX formatting preservation
- **Code blocks**: Language detection and syntax highlighting
- **Citations**: APA, MLA, IEEE format recognition
- **Figures and tables**: Structured conversion with captions
### 🏷️ **Metadata Extraction**
- **Course identification** from file names and paths
- **Topic extraction** and 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
## 🛠️ Development
### Setup Development Environment
```bash
git clone https://github.com/yourusername/noteparser.git
cd noteparser
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install all dependencies including dev tools
pip install -r requirements-dev.txt
# Or using pip extras
pip install -e .[dev]
# Install pre-commit hooks
pre-commit install
```
### Run Tests
```bash
pytest tests/ -v --cov=noteparser
```
### Code Quality
```bash
# Formatting
black src/
ruff check src/
# Type checking
mypy src/noteparser/
```
## 🤝 Contributing
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Make your changes
4. Add tests for new functionality
5. Run the test suite
6. Commit your changes (`git commit -m 'Add amazing feature'`)
7. Push to the branch (`git push origin feature/amazing-feature`)
8. Open a Pull Request
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 📦 Dependencies
### Core Dependencies
- **markitdown** - Microsoft's document parsing engine
- **Flask** - Web framework for dashboard
- **Click** - CLI interface
- **PyYAML** - Configuration management
- **Pillow** - Image processing
- **OpenCV** - Advanced image operations
- **pytesseract** - OCR capabilities
- **SpeechRecognition** - Audio transcription
- **moviepy** - Video processing
### Optional Dependencies
- **pdfplumber** - Enhanced PDF processing
- **python-docx/pptx** - Office document handling
- **BeautifulSoup4** - HTML parsing
- **pandas** - Table processing
See `requirements.txt` for the complete list with version specifications.
## 🙏 Acknowledgments
- **Microsoft MarkItDown** - The core parsing engine that powers format conversion
- **Academic Community** - For inspiration and requirements gathering
- **Open Source Libraries** - All the amazing Python packages that make this possible
## 📞 Support
- **Documentation**: [Full Documentation](docs/)
- **Issues**: [GitHub Issues](https://github.com/yourusername/noteparser/issues)
- **Discussions**: [GitHub Discussions](https://github.com/yourusername/noteparser/discussions)
---
**Made with ❤️ for students, by students**
*Transform your study materials into a searchable, interconnected knowledge base*
Raw data
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"description": "# NoteParser \ud83d\udcda\n\n**A comprehensive document parser for converting academic materials to Markdown and LaTeX**\n\n[](https://www.python.org/downloads/)\n[](https://opensource.org/licenses/MIT)\n\nNoteParser is a powerful academic document processing system built on top of Microsoft's [MarkItDown](https://github.com/microsoft/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.\n\n## \u2728 Key Features\n\n### \ud83d\udd04 **Multi-Format Support**\n- **Documents**: PDF, DOCX, PPTX, XLSX, HTML, EPUB\n- **Media**: Images with OCR, Audio/Video with transcription\n- **Output**: Markdown, LaTeX, HTML\n\n### \ud83c\udf93 **Academic-Focused Processing**\n- **Mathematical equations** preservation and enhancement\n- **Code blocks** with syntax highlighting and language detection\n- **Bibliography** and citation extraction\n- **Chemical formulas** with proper subscript formatting\n- **Academic keyword highlighting** (theorem, proof, definition, etc.)\n\n### \ud83d\udd0c **Extensible Plugin System**\n- **Course-specific processors** (Math, Computer Science, Chemistry)\n- **Custom parser plugins** for specialized content\n- **Easy plugin development** with base classes\n\n### \ud83c\udf10 **Organization Integration**\n- **Multi-repository synchronization** for course organization\n- **Cross-reference detection** between related documents\n- **Automated GitHub Actions** for continuous processing\n- **Searchable indexing** across all notes\n\n### \ud83d\udda5\ufe0f **Multiple Interfaces**\n- **Command-line interface** for batch processing\n- **Web dashboard** for browsing and managing notes\n- **Python API** for programmatic access\n- **REST API** endpoints for integration\n\n## \ud83d\ude80 Quick Start\n\n### Installation\n\n#### Option 1: Using pip (Recommended)\n\n```bash\n# Install from PyPI (when available)\npip install noteparser\n\n# Or install from source with pip\ngit clone https://github.com/yourusername/noteparser.git\ncd noteparser\npip install -e .\n\n# For development (includes testing and linting tools)\npip install -e .[dev]\n\n# For all features including development tools\npip install -e .[all]\n```\n\n#### Option 2: Using requirements.txt\n\n```bash\n# Clone the repository\ngit clone https://github.com/yourusername/noteparser.git\ncd noteparser\n\n# Create a virtual environment (recommended)\npython -m venv venv\nsource venv/bin/activate # On Windows: venv\\Scripts\\activate\n\n# Install dependencies\npip install -r requirements.txt\n\n# For development\npip install -r requirements-dev.txt\n\n# Install the package\npip install -e .\n```\n\n#### System Dependencies\n\nSome features require system packages:\n\n```bash\n# Ubuntu/Debian\nsudo apt-get update\nsudo apt-get install -y \\\n tesseract-ocr \\\n tesseract-ocr-eng \\\n ffmpeg \\\n poppler-utils\n\n# macOS\nbrew install tesseract ffmpeg poppler\n\n# Windows (using Chocolatey)\nchoco install tesseract ffmpeg poppler\n```\n\n### Basic Usage\n\n```bash\n# Initialize in your project directory\nnoteparser init\n\n# Parse a single document\nnoteparser parse lecture.pdf --format markdown\n\n# Batch process a directory\nnoteparser batch input/ --recursive --format latex\n\n# Start the web dashboard\nnoteparser web --host 0.0.0.0 --port 5000\n\n# Sync to organization repository\nnoteparser sync output/*.md --target-repo study-notes --course CS101\n```\n\n### Python API\n\n```python\nfrom noteparser import NoteParser\nfrom noteparser.integration import OrganizationSync\n\n# Initialize parser\nparser = NoteParser(llm_client=your_llm_client) # Optional: for image descriptions\n\n# Parse single document\nresult = parser.parse_to_markdown(\"lecture.pdf\")\nprint(result['content'])\n\n# Batch processing\nresults = parser.parse_batch(\"notes/\", output_format=\"markdown\")\n\n# Organization sync\norg_sync = OrganizationSync()\nsync_result = org_sync.sync_parsed_notes(\n source_files=[\"note1.md\", \"note2.md\"],\n target_repo=\"study-notes\",\n course=\"CS101\"\n)\n```\n\n## \ud83d\udcc1 Project Structure\n\n```\nyour-study-organization/\n\u251c\u2500\u2500 noteparser/ # This repository - parsing engine\n\u251c\u2500\u2500 study-notes/ # Main notes repository\n\u2502 \u251c\u2500\u2500 courses/\n\u2502 \u2502 \u251c\u2500\u2500 CS101/\n\u2502 \u2502 \u251c\u2500\u2500 MATH201/\n\u2502 \u2502 \u2514\u2500\u2500 PHYS301/\n\u2502 \u2514\u2500\u2500 .noteparser.yml # Organization configuration\n\u251c\u2500\u2500 note-templates/ # Shared LaTeX/Markdown templates\n\u251c\u2500\u2500 note-extensions/ # Custom plugins\n\u2514\u2500\u2500 note-dashboard/ # Optional: separate web interface\n```\n\n## \u2699\ufe0f Configuration\n\n### Organization Configuration (`.noteparser-org.yml`)\n\n```yaml\norganization:\n name: \"my-study-notes\"\n base_path: \".\"\n auto_discovery: true\n\nrepositories:\n study-notes:\n type: \"notes\"\n auto_sync: true\n formats: [\"markdown\", \"latex\"]\n noteparser:\n type: \"parser\"\n auto_sync: false\n\nsync_settings:\n auto_commit: true\n commit_message_template: \"Auto-sync: {timestamp} - {file_count} files updated\"\n branch: \"main\"\n push_on_sync: false\n\ncross_references:\n enabled: true\n similarity_threshold: 0.7\n max_suggestions: 5\n```\n\n### Plugin Configuration\n\n```yaml\nplugins:\n math_processor:\n enabled: true\n config:\n equation_numbering: true\n symbol_standardization: true\n \n cs_processor:\n enabled: true\n config:\n code_line_numbers: true\n auto_language_detection: true\n```\n\n## \ud83d\udd0c Plugin Development\n\nCreate custom plugins for specialized course content:\n\n```python\nfrom noteparser.plugins import BasePlugin\n\nclass ChemistryPlugin(BasePlugin):\n name = \"chemistry_processor\"\n version = \"1.0.0\"\n description = \"Enhanced processing for chemistry courses\"\n course_types = ['chemistry', 'organic', 'biochemistry']\n \n def process_content(self, content: str, metadata: Dict[str, Any]) -> Dict[str, Any]:\n # Your custom processing logic here\n processed_content = self.enhance_chemical_formulas(content)\n \n return {\n 'content': processed_content,\n 'metadata': {**metadata, 'chemical_formulas_found': count}\n }\n```\n\n## \ud83c\udf0a GitHub Actions Integration\n\nAutomatic processing when you push new documents:\n\n```yaml\n# .github/workflows/parse-notes.yml\nname: Parse and Sync Notes\non:\n push:\n paths: ['input/**', 'raw-notes/**']\n\njobs:\n parse-notes:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python\n uses: actions/setup-python@v4\n with:\n python-version: '3.11'\n - name: Install dependencies\n run: pip install noteparser[all]\n - name: Parse documents\n run: noteparser batch input/ --format markdown\n - name: Sync to study-notes\n run: noteparser sync output/*.md --target-repo study-notes\n```\n\n## \ud83d\udda5\ufe0f Web Dashboard\n\nAccess the web interface at `http://localhost:5000` after running:\n\n```bash\nnoteparser web\n```\n\nFeatures:\n- **Browse** all repositories and courses\n- **Search** across all notes\n- **View** documents with syntax highlighting\n- **Parse** new documents through the web interface\n- **Manage** plugins and configuration\n- **Monitor** sync status and cross-references\n\n## \ud83d\udcca Use Cases\n\n### \ud83d\udcd6 **Individual Student**\n```bash\n# Daily workflow\nnoteparser parse \"Today's Lecture.pdf\" \nnoteparser sync output/todays-lecture.md --course CS101\n```\n\n### \ud83c\udfeb **Course Organization**\n```bash\n# Semester setup\nnoteparser init\nnoteparser batch course-materials/ --recursive\nnoteparser index --format json > course-index.json\n```\n\n### \ud83d\udc65 **Study Group**\n```bash\n# Collaborative notes\nnoteparser parse shared-notes.docx --format markdown\ngit add . && git commit -m \"Add processed notes\"\ngit push origin main # Triggers auto-sync via GitHub Actions\n```\n\n### \ud83d\udd2c **Research Lab**\n```bash\n# Research paper processing\nnoteparser parse \"Research Paper.pdf\" --format latex\nnoteparser web # Browse and cross-reference with existing notes\n```\n\n## \ud83d\udcda Advanced Features\n\n### \ud83d\udd0d **Smart Content Detection**\n- **Mathematical equations**: Automatic LaTeX formatting preservation\n- **Code blocks**: Language detection and syntax highlighting\n- **Citations**: APA, MLA, IEEE format recognition\n- **Figures and tables**: Structured conversion with captions\n\n### \ud83c\udff7\ufe0f **Metadata Extraction**\n- **Course identification** from file names and paths\n- **Topic extraction** and categorization\n- **Author and date** detection\n- **Academic keywords** and tagging\n\n### \ud83d\udd17 **Cross-References**\n- **Similar content detection** across documents\n- **Prerequisite tracking** between topics\n- **Citation network** visualization\n- **Knowledge graph** construction\n\n## \ud83d\udee0\ufe0f Development\n\n### Setup Development Environment\n\n```bash\ngit clone https://github.com/yourusername/noteparser.git\ncd noteparser\npython -m venv venv\nsource venv/bin/activate # On Windows: venv\\Scripts\\activate\n\n# Install all dependencies including dev tools\npip install -r requirements-dev.txt\n\n# Or using pip extras\npip install -e .[dev]\n\n# Install pre-commit hooks\npre-commit install\n```\n\n### Run Tests\n\n```bash\npytest tests/ -v --cov=noteparser\n```\n\n### Code Quality\n\n```bash\n# Formatting\nblack src/\nruff check src/\n\n# Type checking\nmypy src/noteparser/\n```\n\n## \ud83e\udd1d Contributing\n\n1. Fork the repository\n2. Create a feature branch (`git checkout -b feature/amazing-feature`)\n3. Make your changes\n4. Add tests for new functionality\n5. Run the test suite\n6. Commit your changes (`git commit -m 'Add amazing feature'`)\n7. Push to the branch (`git push origin feature/amazing-feature`)\n8. Open a Pull Request\n\n## \ud83d\udcc4 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## \ud83d\udce6 Dependencies\n\n### Core Dependencies\n- **markitdown** - Microsoft's document parsing engine\n- **Flask** - Web framework for dashboard\n- **Click** - CLI interface\n- **PyYAML** - Configuration management\n- **Pillow** - Image processing\n- **OpenCV** - Advanced image operations\n- **pytesseract** - OCR capabilities\n- **SpeechRecognition** - Audio transcription\n- **moviepy** - Video processing\n\n### Optional Dependencies\n- **pdfplumber** - Enhanced PDF processing\n- **python-docx/pptx** - Office document handling\n- **BeautifulSoup4** - HTML parsing\n- **pandas** - Table processing\n\nSee `requirements.txt` for the complete list with version specifications.\n\n## \ud83d\ude4f Acknowledgments\n\n- **Microsoft MarkItDown** - The core parsing engine that powers format conversion\n- **Academic Community** - For inspiration and requirements gathering\n- **Open Source Libraries** - All the amazing Python packages that make this possible\n\n## \ud83d\udcde Support\n\n- **Documentation**: [Full Documentation](docs/)\n- **Issues**: [GitHub Issues](https://github.com/yourusername/noteparser/issues)\n- **Discussions**: [GitHub Discussions](https://github.com/yourusername/noteparser/discussions)\n\n---\n\n**Made with \u2764\ufe0f for students, by students**\n\n*Transform your study materials into a searchable, interconnected knowledge base*\n",
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