An API to extract text,metadata and images from a pdf file

Resume Smart ATS is an innovative web application designed. Users simply copy and paste job descriptions from platforms like LinkedIn,Indeed, then upload resumes to the web app. By click on Submit button, Resume Smart ATS analyzes the resumes against the job description, providing users with valuable insights such as JD match perce

An open-source Python project leveraging the Gemini Pro API for efficient extraction of information from invoices. Simplify your data extraction process with this tool designed for seamless integration and streamlined extraction from images.

Mmerge multiple PDF files into a single PDF using PyPDF2 library in Python

Creating a PDF splitting application using Python

PDF_Merger is a Python script merging multiple PDFs into one. Utilizing 𝗣𝘆𝗣𝗗𝗙𝟮, it streamlines PDF consolidation for enhanced document management ... ❤️

Library PyPDF2_Fields is a complement to PyPDF2. It helps reading and setting a PDF file’s fields, knowing their type and controlling their editability.

objective -Implimention of end-to-end automation testing of a Ecommerce application using seleniumwebdriver+python+framewors .The developed Framework is Keyword and data driven.

A Python-based tool for converting PDF documents to audio format.

Implement robust password-based protection for your PDF files effortlessly with this Python script.

In Fun-with-Python, I have attached a python file where I was use different libraries of python.

YOLO v8 PDF Search and Image Retrieval

This Python script merges all PDF files in the current directory into a single PDF file named "merged.pdf" using the PyPDF2 library. It iterates through the PDF files, appends their content to a PdfWriter object, writes the merged content to a new file, and then closes the PdfWriter object.

A python tool that automatically extracts title, size, conclusion of research papers in a local directory

The response pdf is neatly organized in a table format in PDF, contains 15 distinct questions and corresponding 106 student answers. Performed sentiment analysis on pdf by extracting the raw data from pdf and convert it into data frame for easy analysis. Then perform column wise and row wise sentiment analysis and shown the result along with graph