OCR MODELS EXPLAINED

Summary from the TLDR AI newsletter

Recent advancements in OCR models, such as Chandra and Deepseek, eliminate traditional scripting by using vision transformers that convert raw pixels into semantic tokens. These models improve accuracy by understanding and compressing visual data into concise tokens before decoding them into text, allowing context-aware text recognition. Deepseek-ocr achieves this efficiently with ~10x compression, enabling flexible adaptation to different fonts and handwriting styles without retraining.