AI Based Text and Digit Recognition
Pages:8-16
Prajakta Khairnar, Asim Ansari, Manish Mishra
To transfer physical documents into digital formats and enable effective information storage, retrieval, and analysis, tasks like text and digit identification from photographs are crucial. In this research, we offer a thorough investigation of an AI-based method using Python tesseract and the Open AI API for text and digit recognition. We talk about the difficulties in optical character recognition (OCR) and how new developments in AI can help with these difficulties. We offer a comprehensive framework for text and digit recognition, utilizing both state-of-the-art deep learning models and conventional OCR techniques, by merging methodology from previous research papers. With the help of our Python project, users will be able to precisely extract and summarize text from photographs by means of accurate and efficient text and digit recognition skills. The trial Results show how well our method handles different text and digit fonts, sizes, and orientations, opening the door for real-world applications in a variety of fields, including finance, law, healthcare, and more.