Receipt extraction initially appears to be a straightforward OCR problem. Scan the document.Extract the text.Convert it […]
One of the biggest misconceptions around AI document automation is the idea that language models alone […]
For a long time, small language models were mostly dismissed for real operational workflows. They were […]
Most receipt digitization systems today rely heavily on cloud APIs. You upload a receipt, the document […]
Most discussions around OCR and document AI focus heavily on technology. Better extraction.Better models.Better automation. But […]
For most people, OCR still sounds like a very old technology problem. Scan a document.Extract the […]
While building the ReceiptFlow pipeline using llama.cpp and Qwen models, I wanted to understand whether combining […]
Extracting structured data from real-world enterprise receipts sounds simple at first, but it quickly turns into […]
Even after applying model optimization and output cleaning, one critical issue remained in the ReceiptFlow pipeline: […]