How to choose the best Resume Parser API in 2023

This article includes a comprehensive guide to assist you in choosing the best resume parsing provider for your needs among the numerous options available.

‍

Navigating the various resume parsing providers and understanding their unique offerings can be challenging, but this guide aims to simplify the selection process and provide you with the information you need to make an informed decision, saving you time and effort:

‍

‍

What is Resume Parsing?

Resume Parser APIs allow you to convert free-form resume documents into structured sets of information suitable for storage, reporting, and manipulation by software. Resume Parsing technology helps recruiters to efficiently manage electronic resume documents sent electronically:

‍

‍

Resume Parser APIs use cases

You can use CV Parser in numerous fields. Here are some common use cases:

• Human resources departments can use a resume parser API to automatically extract information from resumes, saving time and reducing errors when inputting candidate information into their applicant tracking systems.
• Recruitment agencies can use a resume parser API to quickly identify and sort through relevant resumes, identifying the best candidates for specific job openings.
• Job search websites can use a resume parser API to extract information from resumes and automatically create candidate profiles, making it easier for job seekers to apply for jobs and for employers to search for potential candidates.
• Career websites and online education platforms can use a resume parser API to extract information from resumes and match job seekers with relevant job openings and educational programs.
• Background check companies can use a resume parser API to automatically extract information from resumes to verify a candidate's identity, education, and work history.
• Automating the pre-screening process by extracting the necessary data points and ranking the resumes based on qualifications.
• Automatically creating a candidate's profile in the ATS by extracting data points such as skills, work experience, and education.

‍

A well-supplied Resume Parser market

There are many providers in the CV Parser market, both large and small, that offer various strengths and weaknesses: Affinda, HireAbility, Textkernel, Daxtra, Sovren, R-Chilli, Superparser, HrFlow, etc…

‍

‍

Eden AI’s Ultimate Guide to choose the best Resume Parser API

It can be challenging to navigate the many Resume Parser providers and understand their unique offerings. That's why Eden AI's AI experts have created an ultimate guide to help you make an informed decision and save time when selecting a supplier. The guide is divided into four aspects:

‍

• Field returned by the API: The types of fields returned by a resume parser API can vary depending on the provider and the specific API. However, some common fields that are typically returned by resume parser APIs include contact information (name, date of birth, email address, phone number, and address), education, skills, work experience, references, etc. 
• Language supported: It's important to consider the languages supported by the provider, as some have the ability to handle rare and exotic languages. 
• File format supported: PDF, Microsoft Word (DOC and DOCX), Plain Text (TXT), HTML, XML, RTF, and many other specific formats.

‍

This guide was created by Eden AI's Resume Parser experts in collaboration with participating providers. It includes all of the necessary technical information for choosing a Resume Parsing supplier. Eden AI maintains a neutral stance and does not have any interest in promoting one supplier over another.

‍

What features should you consider before parsing resumes?

Here are some examples of the types of information that can be extracted in a resume parsing API response:

‍

Type of fields in resumes

The types of fields returned by a resume parsing API can vary depending on the provider and the specific API. However, some common fields that are typically returned by resume parsing APIs include:

• Contact information: Name, email address, phone number, address, and location.
• Education: Degree, major, institution name, graduation date, and GPA.
• Work experience: Job title, company name, employment dates, job duties, and responsibilities, industry, and company size.
• Skills: Technical skills, certifications, language proficiency, and other relevant skills.
• Summary: A summary of the candidate's qualifications and experience.
• Objective: A statement outlining the candidate's career goals.
• Awards: Awards or honors received by the candidate.
• Interests: Hobbies or interests the candidate has.
• Certifications: Professional certifications and licenses held by the candidate.
• Volunteer Experience: Volunteer experience the candidate has.
• Affiliations: Professional organizations the candidate is a member of.
• Patents: Patents the candidate has filed.
• Publications: Publications the candidate has written.
• Licenses: Professional licenses the candidate holds.
• Education level: The highest level of education the candidate has achieved.
• Professional Headline: A summary of the candidate's professional experience.
• Salary Information: Current or expected salary information
• Availability: Availability to start the job.

‍

Please note that the list of returned fields can vary between providers and different APIs. Some providers might have additional fields or different formats of data that are returned by the API.

‍

Additional APIs

Some Resume Parsing providers allow users to use other APIs in addition to the extraction of resume information: 

• Job Parsing API extracts structured information from job offers. It extracts key information such as years of experience required, skills required, human abilities required, etc.
• ‍Resume / Job matching tries to think like a recruiter in order to select the best profiles (according to their resumes) for each job offer. It uses job experience, skills, core competencies, and other organizational attributes required for the job to choose the right profiles.

‍

Resume Parser API is available for every language.

Parse resumes from all over the world: Many Resume Parser APIs support a wide range of languages. Some providers may have a particular focus on certain regions or language groups, such as Asian languages, African languages, or European languages, while others may offer more comprehensive coverage. 

‍

‍

Multiple formats available to parse in Resume Parser APIs

Most of the Resume Parser APIs support standard resume file formats such as PDF, Microsoft Word (DOC and DOCX), Plain Text (TXT), HTML, XML, RTF.

For more specific use cases you might need to process your resume with specific formats:ppt, odt, ods, jpg, rar, xlsx, tiff, gif, etc. 

It's important to note that some resume parser APIs may have specific requirements for the formatting of these file types, such as the use of certain fonts or layout conventions, in order for the parsing process to be successful. 

It's also possible that some APIs only support one format or a few of the above-mentioned formats.

‍

‍

Benefits of using Resume Parser API with Eden AI

Using Resume Parser with Eden AI API is quick and easy.

‍

Save time and cost

We offer a unified API for all providers: simple and standard to use, with a quick switch that allows you to have access to all the specific features very easily (diarization, timestamps, noise filter, etc.).

Easy to integrate

The JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms. This means for example that diarization would be in the same format for every Resume Parser API call.

Customization

With Eden AI you have the possibility to integrate a third party platform: we can quickly develop connectors. To go further and customize your Resume Parser request with specific parameters, check out our documentation.

‍

Interested in parsing CVs with Eden AI?

Eden AI is the future of CV Parser usage in companies. The Eden AI API allows you to call multiple Resume Parser APIs and handle all your voice issues. You can use Eden AI Resume Parser to access all the best APIs in the market with the same API. 

‍

The Eden AI team can help you with your CV Parser integration project. This can be done by :

• Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact

• By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.

• By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs

• Having the possibility to integrate on a third-party platform: we can quickly develop connectors

‍