Transform technical documentation into professional business documents instantly

Bridge the gap between developer-friendly Markdown and stakeholder-ready Word documents. Convert README files, technical specs, and documentation into polished, professional documents with embedded diagrams, perfect formatting, and enterprise-grade deployment options.

• Communication Gap: Technical teams write in Markdown, business stakeholders need Word documents
• Manual Conversion: Time-consuming reformatting destroys productivity
• Diagram Complexity: Mermaid diagrams don't translate to business documents
• Inconsistent Quality: Manual formatting leads to unprofessional results

One command. Professional results. Enterprise ready.

pip install readme2word
readme2word README.md  # → Professional Word document with embedded diagrams

• Client Deliverables: Convert technical specs to professional proposals
• Project Documentation: Transform README files into executive summaries
• API Documentation: Business-friendly API specifications
• Architecture Reviews: Technical diagrams in presentation format

• Research Papers: Markdown drafts to Word for collaboration
• Thesis Documentation: Technical content with proper academic formatting
• Grant Proposals: Technical specifications in funding applications
• Course Materials: Educational content in multiple formats

• Release Documentation: Professional release notes and changelogs
• Technical Proposals: Internal project specifications
• Stakeholder Reports: Progress updates in business format
• Open Source Projects: Professional documentation for different audiences

• Rich Formatting: Tables, code blocks, lists with perfect preservation
• Automatic TOC: Generated table of contents with Word navigation
• Custom Styling: Professional document templates and themes
• Image Handling: Embedded images with automatic sizing

• Mermaid Integration: Flowcharts, sequence diagrams, class diagrams
• Multiple Themes: Professional, dark, neutral, and forest themes
• High Quality: Crisp PNG generation for print and digital use
• Automatic Conversion: No manual intervention required

• Command Line: Batch processing and automation
• Web Interface: Drag-and-drop with real-time preview
• Python API: Programmatic integration
• Docker Ready: Containerized deployment

• Kubernetes Support: Production-ready Helm charts
• CI/CD Pipeline: Automated testing and deployment
• Security Scanning: Vulnerability assessment and compliance
• Multi-platform: Windows, macOS, Linux support

# Basic installation
pip install readme2word

# Enterprise features
pip install readme2word[all]

# Convert any README to Word
readme2word README.md

# Professional output with custom theme
readme2word docs/api-spec.md -o "API Documentation.docx" --theme dark

# Launch beautiful web interface
readme2word --web
# Open http://localhost:8501

# Production-ready container
docker run -p 8501:8501 ghcr.io/vishalm/readme2readall:latest

Transform complex technical diagrams into professional visuals:

graph TB
    A[Client Application] --> B[API Gateway]
    B --> C[Authentication Service]
    B --> D[Business Logic]
    D --> E[Database]
    D --> F[External APIs]

sequenceDiagram
    participant Dev as Developer
    participant CI as CI/CD Pipeline
    participant Prod as Production
    
    Dev->>CI: Push Code
    CI->>CI: Run Tests
    CI->>Prod: Deploy
    Prod-->>Dev: Success Notification

Result: Professional Word documents with embedded, high-quality diagrams ready for stakeholder presentations.

• Python 3.8+: Modern language features and performance
• Streamlit Framework: Responsive, interactive web interface
• Docker Containers: Consistent deployment across environments
• Kubernetes Ready: Cloud-native scalability

• 95+ Test Coverage: Comprehensive testing suite
• Multi-platform CI: Ubuntu, Windows, macOS validation
• Security Scanning: CodeQL and dependency vulnerability checks
• Code Quality: Black, Flake8, MyPy integration

• Fast Conversion: Small docs in 1-2 seconds
• Concurrent Users: 50+ simultaneous conversions
• Large Documents: Handles 10MB+ Markdown files
• Auto-scaling: Kubernetes horizontal pod autoscaling

pip install readme2word[all]

Best for: Individual developers, small teams, local usage

docker-compose up -d

Best for: Consistent environments, team deployments

helm install readme2word ./infra/helm/readme2word

Best for: Enterprise deployments, high availability, auto-scaling

git clone https://github.com/vishalm/readme2readall.git
pip install -e .[dev]

Best for: Contributors, customization, local development

readme2word [file] [options]
  -o, --output          Custom output filename
  --theme              Diagram theme (default|neutral|dark|forest)
  --debug              Verbose logging
  --no-toc             Disable table of contents
  --web                Launch web interface

from readme2word import ReadmeToWordConverter

converter = ReadmeToWordConverter()
success = converter.convert(
    content=markdown_content,
    output_filename='professional-doc.docx',
    include_toc=True,
    diagram_style='dark'
)

export MERMAID_THEME=dark
export OUTPUT_DIR=/documents
export DEBUG=true

• Input Sanitization: Safe Markdown processing
• Container Security: Non-root user, minimal attack surface
• Vulnerability Scanning: Automated security assessments
• Secure Defaults: Safe configuration out-of-the-box

• Audit Logging: Comprehensive operation tracking
• Data Privacy: No data retention, local processing
• Enterprise Integration: SSO and access control ready
• Regulatory Support: GDPR, SOX, HIPAA considerations

• Multi-platform Testing: Python 3.8-3.12 across OS platforms
• Automated Publishing: PyPI and Docker registry deployment
• Security Scanning: CodeQL analysis and dependency reviews
• Quality Gates: Linting, formatting, type checking

• Helm Charts: Kubernetes deployment automation
• Docker Compose: Development and production environments
• Terraform: Cloud infrastructure provisioning (coming soon)
• Monitoring: Health checks and performance metrics

• PDF Export: Direct PDF generation
• Custom Templates: User-defined document styles
• Batch Processing: Multiple file conversion
• Cloud Storage: S3, GCS, Azure Blob integration

• REST API: Microservice architecture
• Plugin System: Extensible conversion pipeline
• Real-time Collaboration: Multi-user editing
• Enterprise SSO: SAML, OAuth integration

• Mobile Apps: iOS and Android applications
• Advanced Diagrams: PlantUML, Draw.io support
• AI Enhancement: Smart formatting suggestions
• Analytics Dashboard: Usage metrics and insights

We welcome contributions from developers, technical writers, and DevOps engineers!

git clone https://github.com/vishalm/readme2readall.git
cd readme2readall
make setup-dev
make test

• Core Features: Conversion engine improvements
• UI/UX: Web interface enhancements
• Infrastructure: Kubernetes and Docker optimizations
• Documentation: Guides, examples, and tutorials

See our Contributing Guide for detailed instructions.

• 📖 Documentation: Comprehensive guides and examples
• 🐛 Issues: Bug reports and feature requests on GitHub
• 💬 Discussions: Community Q&A and ideas
• 📧 Enterprise: Contact for enterprise support and consulting

• ⭐ Star: Show your support on GitHub
• 🔄 Share: Help others discover the project
• 🤝 Contribute: Join our growing community
• 📢 Feedback: Help us improve and grow

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

• Mermaid.js: Diagram rendering engine
• Streamlit: Web framework
• Python-docx: Word document generation
• All Contributors: Listed in project acknowledgments

Stop spending hours on manual formatting. Start creating professional documents instantly.

pip install readme2word
readme2word README.md

🌟 Star this repository if you find it valuable!

📦 Available on PyPI: https://pypi.org/project/readme2word/

🐳 Docker Images: GitHub Container Registry

Built with ❤️ for developers who value both technical excellence and professional presentation.