CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.1.0] - 2024-11-28

Added

Core Features

• Mathematical OCR Engine: Complete implementation of OCR for mathematical equations and expressions
• Vector-Based Caching: Intelligent caching using ruvector-core for image embeddings and similarity search
• Multi-Format Output: Support for LaTeX, MathML, AsciiMath, SMILES, HTML, DOCX, JSON, and MMD formats
• Image Preprocessing Pipeline: Advanced image enhancement, deskewing, rotation correction, and segmentation
• Configuration Management: Flexible TOML-based configuration with presets (default, high-accuracy, high-speed)

API Server

• REST API Implementation: Scipix v3 API compatible endpoints
  • /v3/text - Image OCR processing (multipart/base64/URL)
  • /v3/strokes - Digital ink recognition
  • /v3/pdf - Async PDF processing with job queue
  • /v3/latex - Legacy equation recognition
  • /v3/converter - Document format conversion
  • /health - Health check endpoint
• Production-Ready Middleware:
  • Authentication (app_id/app_key validation)
  • Token bucket rate limiting (100 req/min default)
  • Request tracing and structured logging
  • CORS support with configurable origins
  • Gzip compression for responses
• Async Job Queue: Background processing for PDF jobs with status tracking and webhook callbacks
• Result Caching: Moka-based async caching with TTL
• Graceful Shutdown: Proper resource cleanup on termination

WebAssembly Support

• Browser-Based OCR: Process images directly in the browser
• Web Worker Support: Off-main-thread processing with progress reporting
• Multiple Input Formats: File, Canvas, Base64, URL support
• Optimized Bundle: <2MB compressed size with efficient memory management
• TypeScript Definitions: Full type safety for JavaScript/TypeScript projects

CLI Tool

• Interactive Commands:
  • ocr - Process single or batch images
  • serve - Start API server
  • batch - Process multiple images in parallel
  • config - Manage configuration files
• Rich Terminal UI: Progress bars, colored output, and interactive tables
• Shell Completions: Support for bash, zsh, fish, and PowerShell

Performance Optimizations

• SIMD Acceleration: Vectorized operations for image processing
• Parallel Processing: Multi-threaded batch processing with rayon
• Memory Optimization: Efficient memory pooling and buffer reuse
• Quantization Support: Model quantization for reduced memory footprint
• Batch Inference: Optimized batch processing for throughput

Math Processing

• LaTeX Parser: Complete LaTeX to AST parsing with error recovery
• MathML Generation: AST to MathML conversion with proper semantics
• AsciiMath Support: AsciiMath parsing and conversion
• Symbol Library: Comprehensive mathematical symbol database
• Format Conversion: Convert between LaTeX, MathML, and AsciiMath

Developer Experience

• Comprehensive Documentation: 15+ detailed documentation files covering:
  • Architecture and design decisions
  • OCR research and algorithms
  • Rust ecosystem integration
  • Testing strategies
  • Security best practices
  • Optimization techniques
  • WASM implementation guide
  • Lean/Agentic integration roadmap
• Example Programs: 7 example applications demonstrating different use cases
• Integration Tests: Comprehensive test suite with >90% coverage target
• Benchmarks: Performance benchmarks using Criterion
• Type Safety: Strong typing throughout with comprehensive error handling

Technical Details

Architecture

• Modular Design: Clean separation of concerns with feature flags
• Feature Flags:
  • default - Core functionality with preprocessing, caching, and optimization
  • preprocess - Image preprocessing pipeline
  • cache - Vector-based caching
  • ocr - OCR engine (requires ONNX models)
  • math - Mathematical parsing and conversion
  • optimize - Performance optimizations
  • wasm - WebAssembly bindings

Dependencies

• Core: ruvector-core, image, imageproc, serde, tokio
• ML: ort (ONNX Runtime) for model inference
• Web: axum, tower, tower-http for REST API
• CLI: clap, indicatif, console for command-line interface
• Math: nom for parsing, nalgebra for linear algebra
• Performance: rayon, memmap2, SIMD intrinsics
• Testing: criterion, proptest, mockall

Performance Benchmarks

• OCR Throughput: Target >100 images/second (batch mode)
• API Latency: <100ms for typical equations (cached)
• Memory Usage: <500MB baseline, <2GB peak
• Cache Hit Rate: >80% for similar equations
• WASM Bundle: <2MB compressed, <5MB uncompressed

Known Limitations

• ONNX Models: Models not included in repository (must be downloaded separately)
• GPU Support: ONNX Runtime CPU-only (GPU support planned)
• Language Support: English and mathematical notation only
• Handwriting: Limited handwriting recognition (digital ink only)
• Complex Layouts: Advanced layout analysis planned for future releases
• Database: No persistent storage yet (planned for 0.2.0)

Security

• Input Validation: Comprehensive validation using validator crate
• Rate Limiting: Default 100 req/min per client
• Authentication: Required for all API endpoints (except health)
• No Secrets: Environment variables for all credentials
• CORS: Configurable allowed origins
• Size Limits: Configurable max request/file sizes

Breaking Changes

None (initial release)

Migration Guide

This is the initial release. No migration required.

Future Roadmap

Version 0.2.0 (Q1 2025)

• Database persistence (PostgreSQL/SQLite)
• Horizontal scaling with Redis
• Prometheus metrics
• OpenAPI/Swagger documentation
• Multi-tenancy support

Version 0.3.0 (Q2 2025)

• GPU acceleration via ONNX Runtime
• Advanced layout analysis
• Multi-language support
• Enhanced handwriting recognition
• Real-time collaborative editing

Version 1.0.0 (Q3 2025)

• Production-grade stability
• Enterprise features
• Cloud-native deployment
• Kubernetes operators
• Comprehensive monitoring

Contributors

• Ruvector Team - Initial implementation and architecture
• Community - Testing and feedback

License

MIT License - See LICENSE file for details

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Deprecated

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