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This is a Python application that converts non-readable PDF files, such as scanned documents, into readable Word documents. It achieves this by first converting the PDF files into images and then extracting the text from the images to create the Word documents. The application provides a user-friendly interface to do the above task.
"PDF To Audio" is a Python tool that transforms PDF documents into audio files using OCR and Text-to-Speech technology. Ideal for accessibility and auditory learning, it supports multiple languages, parallel processing, and smart rate limit handling.
This project facilitates the extraction of text from PDF files using various Python libraries. It is designed to be flexible, allowing the choice among different text extraction libraries and supporting both single PDF file and directory containing multiple PDF files.
VersatileCodeHub: Your one-stop repository for an array of coding projects. Explore diverse applications, from games like Flappy Bird to tools like QRCode Scanners. Expand your skills across various domains, all in one place.
This code is designed to analyze a PDF document and determine the percentage of AI-generated content within the text. It utilizes the PyPDF2 library to extract the text from each page of the PDF and the NLTK library to check for AI-generated words.
A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.