A Python library for reading and writing PDF, powered by QPDF
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Updated
May 30, 2024 - Python
A Python library for reading and writing PDF, powered by QPDF
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
Smart ATS evaluates resumes against job descriptions, providing match percentage, missing keywords, and improvement suggestions.
This Python script converts a PDF file to Word format using OCR (Optical Character Recognition). It extracts text from each page of the PDF, converts the pages to images, performs OCR on the images, and saves the extracted text to text files.
PDF Meta-Duplicator is a Python tool that allows you to duplicate metadata of original pdf to edited pdf documents.
Prepare documents for distribution
Blox Fruits Auto Farm
Provides a comprehensive solution for detecting plagiarism and finding similarities between text documents
Python full-stack application that leverages technologies such as Python, PyPDF2, Langchain, Firebase, Lottie, Faiss, Hugginface embedding models, and Streamlit to facilitate multi-PDF analysis through natural language processing, providing users with a seamless and intuitive experience for processing PDFs and obtaining content-related insights
A Python app that extracts text from PDFs and converts it to speech. It utilizes PyPDF2 for text extraction and gTTS for speech synthesis, supporting multiple languages like Turkish. With a user-friendly interface, users can select PDFs and listen to the content. Ideal for accessibility and hands-free reading.
A book cipher implemented in python.
This Python script builds a user-friendly ATS using Streamlit, Google's GenerativeAI, and PyPDF2. It evaluates uploaded resumes against a job description, ranking them based on match percentage and providing feedback on missing keywords and profile summaries.
NLP model for extracting chinese datas from the documents
This tool allows you to merge PDF files through a graphical user interface (GUI) or a command-line interface (CLI) on Windows, Linux, and Mac.
SummarizerV2.0 is a Flask app for text summarization. It condenses information from plain text, PDFs, and YouTube videos using txtai and PyPDF2. Users can input text or upload documents, obtaining concise summaries—a versatile tool for efficient information processin
An advanced Applicant Tracking System using Google's Gemini Pro for in-depth resume analysis, built with Streamlit for UI, PyPDF2 for PDF processing, and integrated with the Gemini Model API for cutting-edge capabilities.
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