📄 Resume Parser API

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A production-ready REST API for extracting structured data from resumes (PDF, DOCX) — built with Python and Flask.
Automate resume data extraction for HR, recruiting agencies, job platforms, and internal HR tools.

Includes: Dockerfile, modular Flask codebase, file validation, setup guides, and testing examples.

👉 Buy it on Gumroad

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✅ Key Features

• 📄 Parse resumes in PDF and DOCX formats
• 🧠 Extract name, contact info, skills, experience, and education
• ⚡ Lightweight and fast — perfect for batch resume processing
• 🐳 Docker-ready for instant deployment
• 🧱 Clean project structure (modular Flask app)
• 🔐 Input validation and proper error handling
• 🧪 Suitable for HR apps, ATS platforms, and talent tools

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🚀 Endpoints

Parse Resume

POST /parse-resume

Request:
multipart/form-data with file (file=resume.pdf|resume.docx)

Response Example:

{
  "name": "Ivan Ivanov",
  "email": "ivan@example.com",
  "phone": "+7-999-123-45-67",
  "skills": ["Python", "Flask", "Docker"],
  "experience": "5 years in software engineering",
  "education": "BSc Computer Science"
}

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⛔ Error Handling

{"error": "No file uploaded"}
{"error": "Unsupported file type"}
{"error": "Parsing failed"}

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⚙️ Requirements

pip install -r requirements.txt

Key dependencies:

• Flask
• python-docx
• pdfminer.six
• python-dotenv
• werkzeug

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🖥 Run Locally

python app.py

Or with Docker:

docker build -t resume-parser-api .
docker run -p 5000:5000 resume-parser-api

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🧪 Test the API

curl -X POST -F "file=@resume.pdf" http://localhost:5000/parse-resume

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💼 Ready-to-Use Version

Get the full ZIP — including source code, docs, and support:

👉 Buy it on Gumroad

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📬 Contacts

• Email: talabov.ali72@gmail.com
• Telegram: @talabovali

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Need additional features like AI keyword scoring, resume ranking, or other customizations?
Contact me — I’m happy to help.