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Unlimited-OCR, a new open-source OCR model from a Chinese company, solves the memory growth issue common in AI OCR tools by keeping memory usage flat regardless of document length, enabling single-pass reading of dozens of pages at 32K context. It's MIT-licensed, 3B parameters, multilingual, and already popular on GitHub.
MonkeyOCRv2 is a visual-text foundation model for document AI, pretrained on a large corpus of 113 million images across 17 languages using joint image-to-text generation and pixel-level document reconstruction. It achieves state-of-the-art results on document parsing and understanding tasks, outperforming previous models with a smaller vision encoder.
Datalab releases lift, a model that extracts structured JSON from PDFs and images using schema-constrained decoding, with local and hosted inference options.
This paper presents a microservice architecture for production document AI pipelines that combine classification, OCR, and LLM extraction, sharing design decisions and batch profiling insights that reveal OCR, not LLM parsing, dominates latency.
PaddleOCR is a powerful, lightweight OCR toolkit that converts PDFs and images into structured data for AI applications, supporting 100+ languages and designed to bridge documents with LLMs.