Img2PDF Using Pytesseract

By VARSHA S

This project aims to digitize physical images into searchable PDF files. It involves using specialized software to analyze scanned images and convert them into searchable and editable PDF.

Physical documents are turned into digital PDF files as part of the scanned image to PDF conversion effort to digitise them. To ensure precise text recognition and preservation of the document structure, it also comprises picture preprocessing, OCR, and PDF production. This project improves document accessibility and searchability and makes it easier to manage and share documents effectively. You will be able to search the text that is contained in the photographs in this project. It enables effective PDF searching. Optical Character Recognition (OCR) image conversion, text extraction, and text recognition are among the key features.

Image preparation: To improve the quality of scanned images, the project contains preprocessing stages. This might entail modifying the level of sharpness, contrast, and brightness as well as eliminating noise and artefact.

The project's use of optical character recognition (OCR) technology is essential. It enables text to be recognised and extracted from scanned images by software, allowing for editable and searchable PDF files to be created as a result.

OCR software extracts and recognises text from scanned images, turning it into text that can be read by computers. By allowing users to search for specific terms or phrases within PDF documents, efficiency and productivity are greatly increased.

This project makes it possible to both the process of extracting the text and printing it in the terminal as well as creating a new pdf with that text.

                           IMG                                                                   New Searchable PDF