OpenResumeParser vs Parseur

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.

Parseur extracts structured data from PDFs, emails, scans and other documents, then sends it to business tools. Documents can be submitted by email, REST API or drag-and-drop in the web app. Extraction options include Vision AI, Text AI and template parsing, and an engine can be selected for each document. Its OCR supports more than 200 languages and preprocesses scanned documents. Parseur can format and validate extracted fields, with optional Python post-processing for custom logic. Listed integrations include Zapier, Make, Power Automate, n8n and webhooks; exports include Google Sheets, Excel, CSV and JSON. The maker names accounts payable, logistics, human resources and real estate leads as use cases. The free tier allows up to 20 pages per month, one user and 90-day document retention; advanced post-processing is not included. The maker says data is EU-hosted, not used to train AI models serving other customers, and retention can be configured per mailbox down to one day. The site lists paid plans from $49/mo, though displayed Base, Scale and Enterprise tiers have no fixed prices shown.