Overview
Resume Builder is a professional document generation API that transforms structured candidate data into polished, ATS-friendly resumes and cover letters. Built for recruiters, HR professionals, and career service platforms, it streamlines the resume creation process while maintaining consistent formatting and professional presentation standards.
The tool supports comprehensive resume data including work experience, education, skills, certifications, and accomplishments. It can simultaneously generate matching cover letters tailored to specific job opportunities. Resume Builder also includes parsing capabilities to extract structured data from existing resume documents, making it ideal for resume optimization workflows and bulk document generation scenarios.
Ideal users include recruitment agencies, career coaching platforms, applicant tracking systems, HR departments, and job placement services seeking to programmatically create or enhance professional documents at scale.
Usage
Generate a Resume and Cover Letter:
{
"resume_data": {
"full_name": "Sarah Chen",
"email": "sarah.chen@email.com",
"phone": "+1-555-0123",
"location": "San Francisco, CA",
"linkedin": "linkedin.com/in/sarahchen",
"portfolio": "sarahchen.dev",
"tagline": "Full-Stack Engineer | Cloud Architecture",
"summary": "6+ years building scalable cloud solutions with focus on infrastructure automation and team leadership.",
"experiences": [
{
"title": "Senior Software Engineer",
"company": "CloudCorp Inc",
"location": "San Francisco, CA",
"start_date": "Jan 2021",
"end_date": "Present",
"highlights": [
"Led migration of monolithic application to microservices reducing latency by 40%",
"Architected and deployed Kubernetes infrastructure supporting 500+ deployments monthly",
"Mentored team of 5 junior engineers on cloud-native best practices"
]
},
{
"title": "Software Engineer",
"company": "TechStart LLC",
"location": "Oakland, CA",
"start_date": "Jun 2018",
"end_date": "Dec 2020",
"highlights": [
"Developed backend APIs serving 2M+ daily requests",
"Implemented CI/CD pipeline reducing deployment time from 45 min to 8 min"
]
}
],
"education": [
{
"degree": "BS Computer Science",
"institution": "UC Berkeley",
"location": "Berkeley, CA",
"year": "2018",
"gpa": "3.8"
}
],
"skills": ["Python", "Go", "Kubernetes", "AWS", "Docker", "Terraform", "PostgreSQL"],
"certifications": ["AWS Solutions Architect Professional", "CKA - Certified Kubernetes Administrator"],
"tools": ["Git", "Jenkins", "Prometheus", "Grafana"],
"accomplishments": ["Published article on infrastructure optimization in IEEE Software"]
},
"cover_letter_data": {
"full_name": "Sarah Chen",
"email": "sarah.chen@email.com",
"phone": "+1-555-0123",
"location": "San Francisco, CA",
"company_name": "InnovateTech Solutions",
"company_location": "Mountain View, CA",
"job_title": "Staff Engineer - Platform",
"job_description": "Lead architecture and implementation of next-gen distributed systems platform",
"key_highlights": [
"Proven track record scaling systems to millions of requests per second",
"Deep expertise in Kubernetes and cloud infrastructure",
"Strong mentorship and technical leadership experience"
]
},
"generate_cover_letter": true
}
Sample Response:
{
"status": "success",
"resume_filename": "resume_sarah_chen_20240115.pdf",
"cover_letter_filename": "cover_letter_sarah_chen_20240115.pdf",
"download_urls": {
"resume": "/download/resume_sarah_chen_20240115.pdf",
"cover_letter": "/download/cover_letter_sarah_chen_20240115.pdf"
},
"generation_time_ms": 2341
}
Endpoints
GET /
Root Endpoint
Returns service information and status.
Response: Service metadata object.
GET /status
Status Check
Verifies API availability and health.
Response: JSON object containing service status and uptime information.
POST /generate
Generate Resume and/or Cover Letter
Generates professional resume and optionally cover letter documents from structured data.
Request Body:
resume_data (ResumeData, required) - Core resume information including name, contact details, experience, education, and skills
cover_letter_data (CoverLetterData, optional) - Cover letter details including company and job information
generate_cover_letter (boolean, optional, default: true) - Whether to generate accompanying cover letter
ResumeData Schema (required fields: full_name, email, phone):
full_name (string, required) - Candidate full name
email (string, required) - Email address
phone (string, required) - Phone number
location (string, optional) - City/region
linkedin (string, optional) - LinkedIn profile URL
portfolio (string, optional) - Portfolio or personal website URL
tagline (string, optional) - Professional headline/tagline
availability (string, optional) - Availability status (e.g., "Immediately", "2 weeks")
summary (string, optional) - Professional summary/objective
experiences (array of Experience objects, optional) - Work history
title (string) - Job title
company (string) - Company name
location (string) - Job location
start_date (string) - Start date
end_date (string, default: "Present") - End date
highlights (array of strings) - Key accomplishments
education (array of Education objects, optional) - Educational background
degree (string) - Degree name (e.g., "BS Computer Science")
institution (string) - School/university name
location (string) - School location
year (string) - Graduation year
gpa (string) - GPA (optional)
skills (array of strings, optional) - Technical and soft skills
certifications (array of strings, optional) - Professional certifications
tools (array of strings, optional) - Software/tools proficiency
accomplishments (array of strings, optional) - Awards and achievements
other_employers (array of strings, optional) - Additional employer references
job_description (string, optional) - Target job description for resume optimization
original_resume (string, optional) - Existing resume text for enhancement
CoverLetterData Schema (required fields: full_name, email, phone, company_name, job_title):
full_name (string, required)
email (string, required)
phone (string, required)
location (string, optional)
date (string, optional)
hiring_manager (string, optional, default: "Hiring Manager")
company_name (string, required)
company_location (string, optional)
company_address (string, optional)
job_title (string, required)
job_description (string, optional)
opening_paragraph (string, optional)
body_paragraph (string, optional)
closing_paragraph (string, optional)
key_highlights (array of strings, optional)
Response: JSON object with status, document filenames, download URLs, and generation timestamp.
Error Responses:
422 Validation Error - Invalid request schema or missing required fields
POST /parse-resume
Parse Resume Endpoint
Extracts structured data from unstructured resume documents for re-generation or updating.
Request Body:
data (object, required) - Resume content as flexible object (supports various input formats including text, PDF metadata, or document content)
Response: Structured JSON object matching ResumeData schema with extracted fields.
Error Responses:
422 Validation Error - Invalid input format or unparseable resume content
GET /download/{filename}
Download Generated Document
Retrieves generated resume or cover letter file.
Path Parameters:
filename (string, required) - Document filename returned from /generate endpoint
Response: File download (PDF or specified format).
Error Responses:
422 Validation Error - Invalid or non-existent filename
Pricing
| Plan | Calls/Day | Calls/Month | Price |
|---|
| Free | 5 | 50 | Free |
| Developer | 20 | 500 | $39/mo |
| Professional | 200 | 5,000 | $99/mo |
| Enterprise | 100,000 | 1,000,000 | $299/mo |
About
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References