Kawn Vision Language Models
The Vision-Language Model in Kawn represents an advanced step toward integrating visual and textual understanding within the Arabic language context.
This model is specifically designed to read and understand documents and images, with a focus on accurate analysis and seamless integration into applications that rely on visual data.
Unlike traditional OCR systems that merely extract characters and words, the Kawn VLM is capable of:
Understanding Document Structure
It recognizes headings, tables, columns, separators, and the layout of text within a page.
Analyzing the Shared Context Between Image and Text
It recognizes headings, tables, columns, separators, and the layout of text within a page.
Generating Organized and User-Friendly Output
It recognizes headings, tables, columns, separators, and the layout of text within a page.
Use Cases
Preparing documents for integration with LLMs throughRetrieval-Augmented Generation (RAG) techniques, by extracting structured, queryable, and contextual content
Enabling search, editing, and precise information extraction from documents of various types
Digitizing paper archives
منتجاتنا
Kawn Document OCR
A model specialized in recognizing Arabic documents and converting them into readable and analyzable content while preserving structure
