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Recruitment
Convert Resume to JSON

Upload a resume, extract qualifications into JSON, and seamlessly map them to your app's UI fields.

Input Variables
resume
Resume_2024.pdf
Run the prompt to see the model response...

Specify a JSON schema that you want your LLM model to use when generating the JSON object.

Convert the text into a JSON object for mapping to custom UI fields in an application.

Use OCR to extract the data from the PDF, so that you can convert it into a JSON object.

{
  "name": "Janine Nel",
  "job_title": "Sales Engineer",
  "contact_information": {
    "address": "1515 Pacific Ave, Los Angeles, CA 90291, United States",
    "phone_number": "3868683442",
    "email": "email@email.com",
    "linkedin": "",
    "pinterest": ""
  },
  "place_of_birth": "San Antonio",
  "driving_license": "Full",
  "skills": [
    "AutoCAD",
    "Industry Trends & Sales",
    "Forecasting",
    "Knowledge of Technical Diagrams",
    "Engineering",
    "Agile Project Management"
  ],
  "languages": [
    "English",
    "Dutch"
  ],
  "hobbies": [
    "Piano",
    "Debate",
    "Triathlon"
  ],
  "profile": "Deadline- focused Sales Engineer with six years experience in technical sales, contributing to the 30% growth of income for regional technology solutions provider over five states, producing and assisting long-term contracts with Fortune 500 clients, and growing Territory sixfold up to $350M.",
  "employment_history": [
    {
      "job_title": "Sales Engineer",
      "company": "Engen Oil",
      "location": "Jacksonville",
      "start_date": "May 2022",
      "end_date": "May 2022",
      "responsibilities": [
        "Recognize and provide current and future customer necessities in areas of filtration and lubrication products and services.",
        "Initiated Lubrication Fundamentals classes for employees and customers, which provided education on basic product info, machine elements that need lubrication, application methods, storing lubricant, and lubricant conservation and handling.",
        "Designed and applied a highly effective industrial filtration program that produced up to 2,000 gallons of processed oil weekly, which resulted in a considerable expense saving for the customer and improved profits for the company.",
        "Designed and applied for numerous lubrication programs, providing additional value-added services and improved profit margins.",
        "Functioned as a consultant on Best-in-Class Lubrication programs."
      ]
    },
    {
      "job_title": "Sales Engineer",
      "company": "Quest Medical",
      "location": "Los Angeles",
      "start_date": "January 2019",
      "end_date": "April 2021",
      "responsibilities": [
        "Accountable for day-to-day program management, customer relationships, and estimating the shaping and assembly of medical programs for critical Fortune 500 Clients: Pall Life Sciences, Baxter Healthcare, and Quest Medical.",
        "Designed and presented tailored technical solutions to top-3 state automotive dealers, driving sales from $3M to 11$M over t5 years.",
        "Supervised logistics and Proof of concept pilots worth up to $800,000.",
        "Exceeded yearly quota by 145% by actively outperforming the competition in public tenders and providing 97.5% satisfaction support over the managed Territory of current accounts."
      ]
    }
  ],
  "education": [
    {
      "degree": "Masters in Industrial Engineering",
      "institution": "Harvard University",
      "location": "Miami",
      "start_date": "January 2019",
      "end_date": "May 2022"
    },
    {
      "degree": "Professional Engineering (PE) Exam",
      "institution": "National Council of Examiners for Engineering and Surveying (NCEES)",
      "location": "Newton",
      "start_date": "January 2018",
      "end_date": "December 2019"
    }
  ],
  "courses": [
    {
      "course_name": "Certified Associate in Project Management",
      "institution": "Project Management Institute (PMI)",
      "location": "Seneca, South Carolina",
      "start_date": "May 2021",
      "end_date": "May 2021"
    }
  ]
}
How it works
step
1
Extract data

Use OCR to extract the data from the PDF, so that you can convert it into a JSON object.

step
2
Specify JSON Schema

Specify a JSON schema that you want your LLM model to use when generating the JSON object.

step
3
Converting to JSON

Convert the text into a JSON object for mapping to custom UI fields in an application.

Tools used
Tools
No items found.

Customize this workflow

1/ Change the retrieval & search logic

2/ Test different OCRs

3/ Try different models

4/ Evaluate for speed/quality

5/ Test with hundreds of resumes

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