Common Python PDF parsing utilities 📑
Interface developed to extract information from web through scraping and summarize given data.
Extract text from certain pages of a pdf file and then inserting the text line by line into the table of an empty excel workbook
This is a resume screening web app. The user can upload a resume in PDF format. The app will go through all the text in the resume and find the best possible job role for the user among a set of roles.
This repository contains a Python script for comparing PDF files between a local source folder and a remote server. The script logs results, highlighting identical and non-identical files based on size and page count. It employs "pdfplumber" for PDF handling and "paramiko" for SSH connections.
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention
Chat/Query with your pdf, txt, csv, docs files, also from links of blogs.
Converts PDF file to .mp3 file
Scrapes data tables from a PDF file.
GUI app for parsing specific PDF files (data from standardized Vehicle Registration smart card - Republic of Serbia) and generating data file for specific use case.
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention
This script parses Canadian Tire Financial Services (ctfs.com) PDF statement files and extracts the relevant transaction information which is then categorized and appended to an Excel file
This web application leverages advanced Natural Language Processing (NLP) techniques and integrates the OpenAI API to provide a range of features including text generation with context, multi-document summarization, multilingual sentiment analysis, and emotion recognition.
A Python script to extract and parse tax details from a Form 16 PDF file using pdfplumber and regular expressions.
This project was done under the continued supervision and mentorship offered by the program ”Carreras Con Impacto” in order to be completed in a span of 12 weeks.
Flask app that creates reecognizes overude items through parsing a an automated PDF from the checkout system, and generates emails for late users to bring the items back
A PDF Parser that extracts contents (textual) of a PDF file and saves them in a text file.
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