PDF documents are widely used in various sectors, but extracting specific information from them can be cumbersome, especially when dealing with large volumes or image-based PDFs. To address this, converting PDFs into searchable formats using Optical Character Recognition (OCR) and advanced deep learning techniques has become essential. Searchable PDFs allow users to quickly locate terms or phrases within documents, enhancing efficiency in accessing information. While tools like Adobe Acrobat offer solutions, they can be costly, prompting interest in alternatives like Nanonets, which leverages advanced OCR and deep learning to transform PDFs and images into easily searchable files. Nanonets provides users with the capability to perform basic and advanced searches without coding, improving data management and operational productivity. With the integration of pre-trained models and intelligent search features, platforms like Nanonets enable enterprises to streamline document handling by making previously unsearchable content instantly accessible.