Update readme

README.md

@@ -13,7 +13,6 @@
 # </div> -->
 ---
 
-<div align="center">
 
 <p align="center">
     <img src="https://storage.googleapis.com/mle-courses-prod/users/61b6fa1ba83a7e37c8309756/private-files/ff27e200-e181-11f0-b179-8566ca0312de-Untitled_design_(3).png" width="400"/>
@@ -22,12 +21,14 @@
 <h1 align="center">
 ProtonX OCR tool: Table Detector
 </h1>
+<h3 align="center">Only 11MB size</h3>
 
 [![GitHub](https://img.shields.io/badge/ProtonX-GitHub-black?logo=github)](https://github.com/protonx-engineering/protonx-text-correction)
 [![HuggingFace](https://img.shields.io/badge/HuggingFace-Model-black?logo=huggingface)](https://huggingface.co/protonx-models/protonx-tc)
 [![Website](https://img.shields.io/badge/protonx.co-Website-blue)](https://protonx.co)
 [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1V9B38kbQP17RR0-WqVcPt0R7C5RiZ1_x?usp=sharing)
 ## **Introduction**
+This model helps ProtonX support customers in reducing OCR processing costs. For documents that do not contain tables, ProtonX routes them to open-source OCR models such as Dots OCR or DeepSeek OCR. For documents with complex tables, ProtonX routes them to more powerful OCR models such as Gemini OCR, ensuring high accuracy where it matters most.
 
 This model is a **binary image classification model** designed to determine **whether an input document image contains at least one table**.