OpenResumeParser
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.
At a glance
- Editor score7.2 / 10
- PricingFree plan
- Best forDevelopers wanting free self-hosted parsing
- Free planYes
- Paid fromFree
- API accessYes
- Facts checked22 Sep 2026

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.
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OpenResumeParser pricing
OpenResumeParser fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| API access | Yes |
| Batch processing | Yes |
| OCR support | No |
| Supported languages | Not verified |
| Monthly parse limit | Not verified |
| Webhook support | Not verified |
| Deployment | Self-hosted |
| Support | Community, Docs |
| Built for | Solo, Small business (editorial estimate) |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 22 Sep 2026 |
Alternatives to OpenResumeParser
- HrFlow.ai Parsing APIA broad, low-cost parsing API with multilingual support, OCR, batch processing, and webhooks.9.4
- Affinda Resume ParserA multilingual parser with OCR, regional hosting, and self-hosted deployment options.9.2
- RChilli Resume ParserA multilingual, high-volume parser for recruiting systems that need deep structured extraction.9.1
See all OpenResumeParser alternatives →
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Featured on iTechGuides
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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