Parsing resumes in a PDF format from linkedIn

JavaScript recursive descent parser Node.js command line tool for storing extracted text from LinkedIn profile PDFs in JSON format.

Parse LinkedIn PDF Resume and extract out name, email, education and work experiences.

A Node module that parses a LinkedIn Resume PDF and returns a JSON Object and/or outputs a JSON file.

A parser to parse a LinkedIn resume pdf to a json structure

Parser that turns downloaded LinkedIn PDF resumes into an SQLite database

Parsing PDF CV's from LinkedIn Recruiter Account

parse linkedIn pdf profiles with python and pdfminer.

Parses LinkedIn PDF resumes into a set of usable entities

A Simple NodeJs library to parse Resume / CV to JSON. This library parse through CVs / Resumes in the word (.doc or .docx) / RTF / TXT / PDF / HTML format to extract the necessary information in a predefined JSON format. If the CVs / Resumes contain any social media profile links then the solution should also parse the public social profile web-pages and organize the data in JSON format (e.g. Linkedin public profile, Github, etc.)

Parsing LinkedIn resume pdf files with pdfminer

Linkedin profile PDF parser service

Used to parse pdf CV of from Linkedin to json format.

Parse a LinkedIn profile PDF into JSON Resume, Europass XML, and LaTeX/PDF

Parse para extrair informações do currículo do linkedin em formato pdf.

(mostly) python files and tools to parse LinkedIn PDFs

Linkedin resume pdf parsing tool

Parses linkedin resume pdf and generates new resume template using open ai, google gemini

General and LinkedIn resume pdf parsing solution using iTextSharp. It returns a hierarchic structure and it allows the extension of parsing logic by providing a decorator over the parser.

Parses LinkedIn profile PDFs and converts key information into structured JSON format for easy analysis and integration.

Built with Firebase + AI integration, Resume Ace lets users upload resumes (PDF/DOCX/TXT) and job descriptions for real-time ATS analysis. Features include LinkedIn PDF parsing, keyword scoring, and optimization tips.

An AI-powered web application that converts LinkedIn-exported PDFs into ATS-compatible, single-column resumes. Designed to improve resume parsing accuracy across applicant tracking systems while preserving professional structure and content clarity.

An AI-powered web application that converts LinkedIn-exported PDFs into ATS-compatible, single-column resumes. Designed to improve resume parsing accuracy across applicant tracking systems while preserving professional structure and content clarity.

A simple yet powerful Resume Parser built with Streamlit that extracts useful information from resumes uploaded in PDF or DOCX format. The parser identifies key details such as Name, Contact Information, Email, Skills, Education, and Social Media Links (LinkedIn, GitHub, etc.).

Job Search & Auto-Apply Agent. It’ll scrape LinkedIn and Greenhouse, parse your PDF resume, score job fit, write cover blurbs, log results to Google Sheets, and email daily summaries via Gmail.

Users upload resumes; AI parses, suggests improvements (e.g., keyword optimization via NLP). Matches to job postings scraped from Indeed/LinkedIn. Features: PDF export, cover letter gen, interview prep Q&A chatbot.

This application allows you to upload a PDF of your LinkedIn resume, which is then parsed to extract structured data. The extracted information is used to generate a CV in the Harvard format, which you can then download as a .docx file. The project utilizes AI for the parsing process.

This application allows you to upload a PDF of your LinkedIn resume, which is then parsed to extract structured data. The extracted information is used to generate a CV in the Harvard format, which you can then download as a .docx file. The project utilizes AI for the parsing process.

Resume Autofill Pro is a Manifest V3 Chrome extension that parses resumes (PDF/DOCX/DOC/TXT) and auto-fills job forms on Workday, Greenhouse, LinkedIn, Indeed, and iCIMS. It combines regex and LLM parsing (OpenRouter/OpenAI/Gemini) with human review, React-safe filling, and anti-bot-aware input emulation for faster, reliable applications.

A Python-based AI-powered resume parser that extracts key candidate information such as name, email, LinkedIn/GitHub links, technical and soft skills, and employment history from PDF resumes using OpenAI’s GPT models.