Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

OpenResumeParser review

Free#21 of 31 in Resume Parsing Software

A free, developer-focused parser with useful extraction and limited document-format coverage.

7.2/10Editor score
OpenResumeParser7.2 Try OpenResumeParser

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

OpenResumeParser is a Python-based, open-source tool for extracting structured information from PDF and TXT resumes. It identifies names, email addresses, phone numbers, skills, work experience, and education, then compares resume skills with job descriptions. The product is aimed at developers who want free, self-hosted parsing through an API or command-line workflow rather than a hosted recruiting application. Its curated technical-skills database gives the parser a defined focus on technical terminology.

The deployment options are practical for engineering teams. OpenResumeParser provides a FastAPI REST API, a command-line interface, and Docker deployment support, while its category specifications include API access and batch processing. These options allow teams to place parsing into their own systems and operational environment. The open-source model also makes it suitable for developers who prefer to manage deployment directly. Its scope is narrower than tools designed for broad document ingestion: the supported resume formats are PDF and TXT, and OCR is not included.

The main trade-off is extraction depth. OpenResumeParser uses heuristic extraction and a curated technical-skills database, rather than machine-learning-based entity recognition. That approach fits structured, technically oriented parsing workflows, but it may be less suitable for teams needing OCR, wider file-format coverage, or more adaptive recognition across varied resume layouts. Choose it for a free self-hosted parser with core field extraction, skill matching, and developer-oriented deployment options. Consider an alternative if scanned documents, OCR, or broader parsing coverage are central requirements.

OpenResumeParser pros and cons

  • Where it wins
    • Extracts contact details, skills, experience, and education
    • Offers FastAPI REST API, CLI, and Docker deployment
    • Matches resume skills against job descriptions
  • Where it doesn't
    • Supports only PDF and TXT resumes
    • Does not provide OCR support
    • Uses heuristic extraction instead of machine-learning entity recognition

OpenResumeParser fact sheet, pricing and score →

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated · How we research and update