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

Source Notes

• 2026-04-23: https://www.youtube.com/watch?v=j7oxmKCwCPM Of course. Here is a summary of the video. Author: In this video from his AI and machine learning channel, the author provides an in-depth look at a new open-source OCR model. Summary: The author introduces **Nanonets OCR Smal (Nanonets OCR for tables to text for RAG)
• 2026-04-14: # Nanonets OCR for tables to text for RAG --- --- https://www.youtube.com/watch?v=j7oxmKCwCPM Of course. Here is a summary of the video. Author: In this video from his AI and machine learning channel, the author provides an in-depth look at a new open-source OCR model. **Su (Nanonets OCR for tables to text for RAG)