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OpenResumeParser

Free#21 of 31 in Resume Parsing Software

OpenResumeParser: A free, developer-focused parser with useful extraction and limited document-format coverage. Ranked #21 of 31 in Resume Parsing Software by our editors (7.2/10); pricing: Free plan; best for developers wanting free self-hosted parsing.

7.2/10Editor score
OpenResumeParser7.2 Try OpenResumeParser

At a glance

  • Editor score
    7.2 / 10
  • Pricing
    Free plan
  • Best for
    Developers wanting free self-hosted parsing
  • Free plan
    Yes
  • Paid from
    Free
  • API access
    Yes
  • Facts checked
    22 Sep 2026
OpenResumeParser screenshot
  • 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

Our verdict on OpenResumeParser

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.

Your product? Our editors can test OpenResumeParser in depth and publish a review, labelled as paid · from $149/mo →

OpenResumeParser pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on github.com

OpenResumeParser fact sheet

Free planYes
Paid fromFree
API accessYes
Batch processingYes
OCR supportNo
Supported languagesNot verified
Monthly parse limitNot verified
Webhook supportNot verified
DeploymentSelf-hosted
SupportCommunity, Docs
Built forSolo, Small business (editorial estimate)
PricingFree plan
Websitegithub.com
Facts checked22 Sep 2026

Alternatives to OpenResumeParser

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Featured on iTechGuides

Featured on iTechGuides — OpenResumeParser 7.2/10

OpenResumeParser is listed in our Resume Parsing Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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