Resume Parser API

About this Cloud Hub Solution:

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Resume parsing API is a hosted service that converts resumes in PDF or MS Word format into a structured JSON data format.

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Use cases

Extract data from any resume/CV to:

• Automate resume processing, search, sorting, and storage
• Enhance your talent database and recruitment workflow
• Save time and effort by eliminating manual data entry
• Eliminate manual intervention and potential errors
• Mitigate privacy issues and ensure data security
• Accelerate the hiring process by quickly identifying qualified candidates
• Build datasets for AI-powered job matching tools and other applications

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Resume Parser API is well-suited for English language resumes and produces acceptable results for 12 other common languages. We've trained our parser model with over 26,000 college/university names and 70,000+ skills using advanced NLP techniques, enabling it to parse various resume/CV formats.

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To get started, subscribe to the service (with a free tier available), obtain your API key, and test the API using a cURL command. This will allow you to parse a CV/resume located at a specific URL, such as a sample resume in docx format.

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A publicly reachable URL to download the resume (pdf/docx/doc formats supported).

curl --location --request GET 'https://api.apilayer.com/resume_parser/url?url=https%3A%2F%2Fassets.apilayer.com%2Fapis%2Fcodes%2Fresume_parser%2Fsample_resume.docx' \--header 'apikey: YOUR API KEY HERE'The results will be as follows{    "name": "JOHN DOE",    "email": "[email protected]",    "skills": [        "Computer science",        "Html5",        "Photoshop",        "Php",        "Cms",        "Design",        "Wordpress",        "Sql",        "Api",        "Adobe",        "Benchmark",        "Javascript",        "Json",        "Illustrator",        "Css",        "C#",        "Programming",        "C",        "Html"    ],    "education": [        {            "name": "RIVER BROok university",            "dates": "2011"        }    ],    "experience": [        {            "title": "Front End Developer",            "dates": "2015",            "location": "Camarillo",            "organization": "DP TECHNOLOGY CORP."        },        {            "title": "Front End Developer",            "dates": "2015",            "location": "Plano",            "organization": "VOKO COMMUNICATIONS"        }    ]}

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Parsing a CV/resume from local fileThe procedure is pretty similar to what we do for parsing a resume on a URL.

First, simply subscribe to the service (free tier available), get your API key and you are done. Use the following code to upload a resume from your computer to the service and get the resume parsed in JSON format immediately back.

curl --location --request POST 'https://api.apilayer.com/resume_parser/upload' \--header 'Content-Type: application/octet-stream' \--header 'apikey: YOUR API KEY HERE' \--data-binary '@/C:/Users/test/Desktop/sample_resume.docx'

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Security and Privacy

We prioritize user privacy and data security. Our servers do not store any private information, and uploaded resume files are automatically deleted after 15 seconds. We do not store parsed data or resume files on our servers and do not share this information with any partners.

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As a business located in the European Union, we strictly adhere to GDPR compliance and respect user privacy concerns. Our Privacy Policy statements provide more information, and we can arrange a signed and sealed agreement for regulative purposes if needed.

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If you experience issues with resume parsing, please note that our API relies on predictive models, which may not be 100% accurate. We continually enhance the API's capabilities and appreciate feedback. If you encounter problems with a specific resume/CV format, please let us know, and we will address the issue.

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