Nanonets OCR Small

A powerful and remarkably efficient optical-character-recognition (OCR) model.

Key Characteristics

• Model Size: 3B parameters.
• Efficiency: Part of the trending movement toward smaller, high-performance models.
• Core Capability: Specialized in converting Tables to text for rag (Retrieval-Augmented Generation) workflows.

Comparative Models

• Llama OCR
• Mistral OCR

References

• Video: https://www.youtube.com/watch?v=j7oxmKCwCPM

• Source: 2026 04 14 Nanonets OCR for tables to text for RAG

• 2026-04-30 2026-04-30-NVIDIA-Nemotron-3-Nano-Omni-Unified-Multimodal-AI-Agent ← Nvidia Nemotron 3 Nano Omni Unified Multimodal Ai Agent

• 2026-04-08 2026-04-08-LiteParse-Free-Local-Layout-Preserving-Document-Parsing-for-LLMs ← Liteparse Free Local Layout Preserving Document Parsing For Llms

• 2026-04-10 2026-04-10-LiteParse-Free-Local-Layout-Preserving-Document-Parsing-for-LLMs ← Liteparse Free Local Layout Preserving Document Parsing For Llms

Source Notes