Lourdox
Automated document reading, even handwritten.
Companies across all sectors face increasing operational challenges when processing large volumes of critical documents such as contracts, invoices, reports, and financial statements. Manual work is not only slow and costly but also prone to errors that jeopardize the quality of analysis and decision-making. Lourdox was born as a response to this challenge: a document automation tool that combines speed, accuracy, and intelligence.
Location
United States
Project description
At FriWi, we’ve developed a robust solution designed for companies that need to extract structured information from multiple documentary sources. The platform allows you to upload any type of document (scanned PDFs, images, Word, Excel) and returns a structured JSON containing all relevant data extracted through AI algorithms. In addition, it features a contextual analysis engine that can correlate information across multiple documents and generate actionable recommendations based on specific business rules.
Impact
Lourdox has demonstrated exceptional results in transforming document processes: 80% reduction in operational time spent on manual data extraction and analysis, +300% average ROI on automated processes, and 24/7 availability with 99.9% uptime essential for mission-critical operations.
Key results
01
Invoice, Receipt, and Document Processing
Lourdox automatically extracts key items, amounts, and other data, fully replacing manual data entry.
02
Automated Case File Analysis
Lourdox allows you to upload multiple documents linked to a case and generate consolidated insights.
03
Due Diligence and Financial Audit
Automated analysis of financial statements, contracts, and supporting documents, with pattern and anomaly detection.
04
Risk Assessment
Extraction of sensitive clauses, critical terms, and preventive alerts based on configurable criteria.
Technical details
The solution is built on a modular architecture that integrates Python for the backend, React for the user interface, PostgreSQL as the main database, Pinecone for vector search, Tesseract for OCR, OpenAI and Anthropic for natural language processing, and support for PDFs, images, Word documents, and more.