large-document-processing

What problem does it solve?

Large documents with hundreds of pages are difficult to parse, organize, and extract meaningful structure without exhausting memory or losing hierarchy.

Core Features & Use Cases

• Multi-format Support: DOCX, PDF, and text inputs are handled with preserved formatting and layout.
• Structure Preservation: Maintains document hierarchy, headings, lists, and indentation for reliable downstream processing.
• Memory-Efficient Processing: Page-by-page or chunked processing to scale to very large files.
• Intelligent Parsing & Metadata Extraction: Detects sections, entries, and semantic boundaries, producing rich metadata for analytics.
• Progress Tracking & Recovery: Real-time status updates with fault tolerance for long-running jobs.

Quick Start

To start processing a large document, initialize the processor with a configuration that sets chunk_size_pages and parallel_workers, then call process_large_document with your input_file and output_dir. Example: processor = LargeDocumentProcessor(config); results = processor.process_large_document(input_file='path/to/document.pdf', output_dir='output/processed')