Text Extraction From Images Is A Crucial Task In The Field Of Document Digitization, Heritage Preservation, And Information Retrieval. With The Growing Availability Of Optical Character Recognition (OCR) Technologies, It Is Now Possible To Efficiently Convert Printed Or Handwritten Text Into Editable And Searchable Digital Formats. This Project Focuses On Developing A Web-based Application For Extracting Tamil Text From Images Using The Tesseract OCR Engine Integrated With The Flask Framework. The System Preprocesses Input Images Through Techniques Such As Grayscale Conversion, Noise Removal, And Thresholding To Improve Recognition Accuracy. Tesseract OCR Is Then Employed To Recognize And Extract Tamil Characters, Which Are Displayed In A User-friendly Interface Powered By Flask. The Proposed System Enables Users To Upload Images And Retrieve The Extracted Tamil Text In Real Time, Thereby Offering An Effective Solution For Digitizing Documents, Preserving Ancient Scripts, And Improving Accessibility Of Tamil Content. This Approach Demonstrates The Potential Of Combining Open-source OCR Tools With Lightweight Web Frameworks To Create Efficient, Language-specific Text Recognition Systems.
.jpg "IMAGE TO TAMIL TEXT EXTRACTION USING TESSERACT IN FLASKN FRAMEWORK")