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Package resume-parser
Short Description A robust PHP package for extracting structured data from resume PDFs.
License MIT
Informations about the package resume-parser
🚀 Resume Parser
A modern PHP package to extract structured data from resume PDFs — with both classic and OpenAI-powered AI parsing!
Easily extract names, emails, phone numbers, social handles, skills, education, experience, certifications, and languages from any resume PDF. Use classic parsing for speed, or unleash the power of OpenAI for even more robust results.
✨ Features
- Extracts name, email, phone, address
- Detects and normalizes global phone numbers
- Extracts all major social handles (LinkedIn, GitHub, Twitter/X, Facebook, Instagram, Stack Overflow, Dribbble, Behance, Medium, YouTube, TikTok, Pinterest, Telegram, WhatsApp, blog, website)
- Parses skills (technical, soft, and unique skills)
- Extracts education, experience, certifications, and languages
- Section-based parsing for high accuracy
- Optional: AI-powered parsing using OpenAI for even more robust extraction
- Outputs structured JSON/array
📦 Installation
⚡ Usage
Manual/Classic Parsing
AI-Powered Parsing (OpenAI)
📝 Example Output Structure
💻 Example Demos
example/parse_example.php— Manual/classic parsingexample/bootstrap_upload.php— Manual/classic parsing with Bootstrap upload formexample/bootstrap_ai_upload.php— AI-powered parsing with Bootstrap upload form and OpenAI API key
🔑 OpenAI API Key
To use the AI-powered parser, you need an OpenAI API key. You can get one from OpenAI. Keep your API key secure and do not expose it publicly.
🤝 Contributing
Contributions, issues, and feature requests are welcome! Feel free to open an issue or submit a pull request.
If you like this project, please ⭐ star it and follow me for more cool open-source tools!
📄 License
MIT
👤 Author
All versions of resume-parser with dependencies
smalot/pdfparser Version ^0.16
giggsey/libphonenumber-for-php Version ^9.0