Optical Character Recognition
Optical Character Recognition (OCR) is the automated process of converting images of text—such as scanned documents or photos—into machine-encoded, editable, and searchable data.
Specialized Models & Emerging Trends
- Nanonets OCR Small: A newly introduced, highly efficient model featuring 3B parameters, specifically optimized for converting tables into text to support Retrieval-Augmented Generation (RAG) workflows.
- Shift Toward Efficiency: There is a growing industry trend toward smaller, specialized, and high-performance models, contrasting with larger-scale architectures such as Llama OCR and Mistral OCR.
- Infographic Text Correction: Utilizing Adobe Acrobat and Canva (‘Grab Text’) to identify and correct spelling inacc
Compact Local Document Parsing
- Alibaba OvisOCR2: Compact Local Document Parsing Model Surpassing Pipelines: An innovative document parsing model open-sourced by Alibaba. It is notable for being a compact local model that reportedly surpasses traditional pipeline-based methods in performance, highlighting the viability of efficient, self-hosted OCR solutions.