OpenResumeParser

6.9easy start · #9 of 31
in Resume Parsing Software

Runs on api, self-hosted, Windows.

OpenResumeParser is ranked #9 of 31 in resume parsing software on The Geeks Club. It runs on API, Self-hosted, Windows. There is a free plan.

OpenResumeParser plans and pricing

MIT-licensed project Free MIT license · personal and commercial use github.com · 7 Oct 2026

Doxis AI.dp 0 of 4 in the starter kit Lesson 17.9 DiscoverCloud Resume Parser 0 of 4 in the starter kit Lesson 27.7 DocuShell Resume Parsing API 0 of 4 in the starter kit Lesson 37.7 RChilli Resume Parser 0 of 4 in the starter kit Lesson 47.7 Parseur 0 of 4 in the starter kit Lesson 57.6 Online Resume Parser 0 of 4 in the starter kit Lesson 67.2

Purpose: The project extracts structured data from resumes and matches skills against job descriptions.
Input formats: It parses resumes in PDF and TXT formats.
Extracted fields: It extracts names, email addresses, phone numbers, skills, experience, and education.
Interfaces: The project provides a command-line tool and a FastAPI REST API.
Skill matching: It compares resume skills with a job description and returns a match score, matched skills, and missing skills.
Skill taxonomy: The README says its curated skills database supports 120+ technical skills and can be customized in extractor.py.
Deployment: The project includes a Dockerfile and docker-compose setup.
Security and typing: The README describes the project as type-safe and says it uses Pydantic models.
Notable limitations: It does not support scanned PDFs or OCR, and experience and education extraction is heuristic-based.
Other limitations: The skills database is curated rather than ML-based, and date extraction uses regular expressions.
Support: The README directs users to open a GitHub issue for questions or bugs.
License: The project is offered under the MIT License for personal and commercial use.
Price from: Free

Claim it for free: prove the domain, then correct facts, plans and screenshots. An editor reviews every change.