Launch Your AI Resume Builder
SaaS in Minutes, Not Months

You get complete production-ready source code with 47,000+ lines covering Next.js 15 frontend, React 19 components, AI resume parser with Google Gemini integration, 60+ ATS-optimized templates, PDF/DOCX export, authentication (email, Google OAuth, LinkedIn OAuth), PostgreSQL database schema, Prisma ORM setup, comprehensive documentation (5,000+ lines), Docker configuration, deployment guides for Vercel/AWS/GCP, and 14 days of email support.

Yes! The commercial license grants you full rights to modify, customize, brand, and deploy the platform for commercial use. You can launch your own resume SaaS, integrate it into existing job platforms, or offer it as a white-label solution to clients. The only restriction is you cannot resell the source code itself or redistribute it to third parties.

The AI resume parser uses Google Gemini AI to extract structured data from existing PDF and Word resumes. It intelligently identifies sections (contact info, experience, education, skills), formats dates, parses job descriptions, and populates the resume builder automatically. This saves users 80%+ time compared to manual data entry. The parser achieves 95%+ accuracy on standard resume formats.

All 60+ templates are designed to pass Applicant Tracking Systems (ATS) with 98%+ compatibility. They use standard section headers, proper formatting hierarchy, simple layouts without complex tables or graphics, standard fonts, and machine-readable structure. The built-in ATS checker analyzes resumes for common rejection factors like incompatible formatting, missing keywords, or parsing issues.

Minimum requirements: Node.js 18+, PostgreSQL 14+, 2GB RAM, 5GB disk space. Recommended: Node.js 20+, PostgreSQL 15+, 4GB RAM, 10GB SSD. Supports macOS 10.15+, Ubuntu 20.04+, Windows 10+. For deployment, you can use Vercel (easiest), AWS, Google Cloud Platform, or any hosting supporting Node.js. Docker configuration is included for containerized deployment.

With the included documentation and deployment guides, experienced developers can have the platform running locally in 30-45 minutes. Production deployment to Vercel takes 15-20 minutes. To AWS/GCP with Docker: 1-2 hours. Customization time varies based on your branding needs - basic branding (logo, colors, domain) takes 2-4 hours, while extensive feature customization may take several days.

You get 14 days of email support for setup assistance, deployment questions, and bug fixes. Support covers installation issues, configuration help, deployment troubleshooting, and code clarifications. Response time is typically 12-24 hours on business days. After 14 days, you have lifetime access to the comprehensive documentation and can purchase extended support separately.

Absolutely! The modular architecture makes integration straightforward. You can embed the resume builder as a standalone feature, integrate authentication with your existing user system, use the API endpoints for backend integration, embed specific components (template picker, editor, preview) into your pages, or run it as a separate subdomain with SSO. The codebase is built with integration in mind using industry-standard patterns.

PDF export uses React-PDF and PDF-Lib to generate high-quality, ATS-compatible PDFs with perfect formatting preservation. DOCX export creates fully editable Microsoft Word documents maintaining all formatting, fonts, and layouts. Both formats are generated server-side for consistency and support custom fonts, images, and complex layouts. Export typically takes 2-5 seconds per resume.

Beyond resume parsing, the platform includes: ATS compatibility checker (analyzes and scores resumes 0-100), keyword optimizer (suggests relevant keywords from job descriptions), AI-powered bullet point generator (creates achievement-focused descriptions), industry-specific action verb suggestions (500+ verbs categorized by field), resume scoring algorithm (evaluates completeness and quality), and content improvement suggestions (grammar, impact, clarity).