Advanced Financial Document Processing System
Edgar is a production-ready SEC filing extraction and parsing system that intelligently processes regulatory documents using advanced parser integration. Built with specialized SEC parsing libraries (secsgml v0.3.1 and secxbrl v0.5.0), Edgar provides robust, scalable financial document processing capabilities for extracting structured metadata and financial facts from complex regulatory filings.
Integrated SEC parsers with processing engine, database models, and content extractors
Seamless combination of SGML, XBRL, and legacy system parsers with intelligent fallback
PostgreSQL with SQLAlchemy ORM for structured metadata and financial facts persistence
SEC feed discovery for automated filing identification and retrieval
16.5 MB/s
Peak document throughput achieved
100%
Successful malformed document handling
3 Engines
SGML, XBRL, and integrated parsing
Complete
Full metadata and facts storage
Implemented hybrid parser architecture to handle SGML, XBRL, and legacy formats seamlessly with intelligent format detection and automatic parser selection.
Designed comprehensive error recovery system with graceful fallbacks to handle malformed documents, missing metadata, and parser failures without data loss.
Achieved 16.5 MB/s peak throughput through memory-efficient parsing, batch database operations, and optimized content detection algorithms.
Created flexible schema to store diverse filing metadata, financial facts, and document relationships while maintaining query performance and data integrity.
Built production-ready infrastructure with Docker containerization, comprehensive testing, and deployment automation for reliable operation at scale.
Explore the complete implementation with comprehensive documentation and test suites