Finance / Document Automation
Document processing and semi-automated accounting system based on a Python API that analyzes documents, structures content by pages and extracts data using LLMs.
Invoice and accounting document processing involves handling multiple formats and variable structures.
Traditional systems do not properly distinguish document types or control which information is analyzed, leading to errors and lack of traceability.
Development of a Python API that receives documents and automatically detects their type (native PDF, image-based PDF or standalone images).
The system extracts text, structures it by pages and feeds it to the LLM with precise instructions on which pages and how much context to analyze, enabling controlled, auditable structured data extraction.
Higher data extraction accuracy, reduced errors and full control over analyzed context.
The result is faster, more reliable document management ready for accounting registration and financial analysis.