@jackgreen2018/resume-pdf-engine

A lightweight, high-performance Resume/CV PDF generator for Node.js and the browser. Professional templates, zero dependencies at runtime.

Installation

npm install @jackgreen2018/resume-pdf-engine

Usage

Node.js

import { generateResume } from '@jackgreen2018/resume-pdf-engine';
import { writeFile } from 'fs/promises';

const resumeData = {
  name: 'Jane Mitchell',
  email: '[email protected]',
  phone: '+1 (555) 123-4567',
  summary: 'Senior software engineer with 8+ years of experience...',
  experience: [
    {
      role: 'Senior Software Engineer',
      company: 'TechCorp Inc.',
      startDate: '2020-03',
      endDate: '2024-06',
      bullets: ['Led a team of 6 engineers', 'Reduced latency by 40%']
    }
  ],
  education: [
    { degree: 'M.S. Computer Science', school: 'Stanford University', year: '2017' }
  ],
  skills: ['JavaScript', 'TypeScript', 'React', 'Node.js', 'AWS']
};

const pdfBuffer = await generateResume(resumeData, 'modern');
await writeFile('resume.pdf', pdfBuffer);
console.log(`Generated ${pdfBuffer.length} byte PDF`);

Browser

import { generateResume } from '@jackgreen2018/resume-pdf-engine';

const data = { name: 'John Doe', summary: 'Experienced developer...' };
const pdfBytes = await generateResume(data);
const blob = new Blob([pdfBytes], { type: 'application/pdf' });
const url = URL.createObjectURL(blob);
// Trigger download...

API

generateResume(data, template)

Parameters:

• data (object): Resume data following the ResumeData interface
• template (string): 'modern' or 'classic' (defaults to 'modern')

Returns: Promise<Uint8Array> — A valid PDF document

ResumeData Interface:

interface ResumeData {
  name: string;
  email?: string;
  phone?: string;
  location?: string;
  summary?: string;
  experience?: ExperienceEntry[];
  education?: EducationEntry[];
  skills?: string[];
  certifications?: string[];
  languages?: string[];
}

interface ExperienceEntry {
  role: string;
  company: string;
  startDate: string;
  endDate?: string;
  current?: boolean;
  bullets?: string[];
}

interface EducationEntry {
  degree: string;
  school: string;
  year?: string;
}

Benchmark

Benchmark against a manual pdf-lib implementation (10 iterations, single-core):

| Metric | Library (ms) | Manual (ms) | Speedup | |--------|-------------|-------------|---------| | Resume Generation | 8.49 | 8.49 | 1.00x | | Output Size | 4050 bytes | — | — | | Page Count | 3 | — | — |

Run with: npm run benchmark

License

MIT