video1.0<iframe src="https://www.loom.com/embed/34abfa03cc2e4e7db484abe95b53b331" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/34abfa03cc2e4e7db484abe95b53b331-7aa480c1ca43c454.gif606.797Hi Sir, I am Atif Tassir. In this Loom I review the Gen-T course framework I built over the past 8 months for intelligent OCR, from SOTA limitations to a deterministic pipeline with validation and a judge plus retry layer. I trained on 80,000 plus internal documents and compared against prior approaches, reporting 100 percent accuracy, 0 hallucinations, and 0 wrong accepted values on validated cases. In production, 50 documents are auto accepted with auto correct, processing takes 16 seconds per document and costs about 0.01 per document. I would love to set up a call so I can explain and integrate the OCR with your system using my adapter pattern.