CandidateZip vs OpenResumeParser
CandidateZip
candidatezip.comOpenResumeParser
github.comSide by side
| Figure | CandidateZip | OpenResumeParser |
|---|---|---|
| Price from | $30/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · Resume Parsing Software | 8.2 (#11) | 7.4 (#24) |
| Support | The homepage advertises 24-hour support, while plan details list email support and phone support on Premium, Platinum, and Diamond. | The README directs users to open a GitHub issue for questions or bugs. |
Plans
CandidateZip
- Growth$30 a month
- Premium$150 a month
- Platinum$400 a month
- Diamond$750 a month
In their own words
CandidateZip
CandidateZip has no write-up on Specifiction yet; its figures are above.
OpenResumeParser
OpenResumeParser is a free, MIT-licensed project that extracts structured information from resumes and compares skills with job descriptions. It reads PDF and TXT files and extracts names, email addresses, phone numbers, skills, experience, and education. Its matching output includes a score, matched skills, and missing skills. The project offers a command-line interface and a FastAPI REST API, with API access and batch processing listed. A curated database covers more than 120 technical skills and can be customized in extractor.py. Dockerfile and docker-compose files support deployment, while Pydantic models are used in a type-safe design described by the README. The listed platforms are API, self-hosted, and Windows. The MIT license permits personal and commercial use. Important limits include no scanned-PDF or OCR support, heuristic experience and education extraction, a curated rather than machine-learning skills database, and regular-expression date extraction.