"How I Built OCR Into a Tenant Rights App (LeaseChat Technical Breakdown)" скачать в хорошем качестве

"How I Built OCR Into a Tenant Rights App (LeaseChat Technical Breakdown)"

In this technical breakdown, I'm walking through exactly how we built the OCR (Optical Character Recognition) functionality for LeaseChat, the tenant rights AI app from my UChicago Law AI Lab class. Most renters have their lease as a PDF or image, but they can't easily search it or understand what protections they actually have. We solved this by implementing OCR technology that converts lease documents into structured, searchable data that our AI can analyze and explain in plain language. In this video: How OCR technology actually works and why it's essential for legal documents The technical implementation behind LeaseChat's document processing Challenges we faced extracting accurate information from varying lease formats How we structure the extracted data for AI analysis Real examples of the system processing actual lease agreements This is a hands-on tutorial for anyone interested in building AI applications that work with real-world documents, legal tech development, or understanding how document processing systems actually function behind the scenes.