Resume Parser API to Parse Resumes in bulk, CV Parsing API & Software

Features

Resume parser API converts unstructured data into 140+ fields in real-time
JD parser processes job descriptions in real time through an agile API
Bulk import
Email integration
Easy implementation
Highly configurable
Reliable customer support

Benefits

Candidates can fill profile in less than 10 sec.
Easily import millions of resumes/jobs overnight.
Get resume data from emails in less than two seconds.
Remove unconscious bias through Switch
on/off fields.
Scale operations through structured job data extracted from the job feeds.

A resume parser is an AI-based software that converts an unstructured form of resume data into a structured format.

It is a technology using which you can process resumes online. The parser extracts the data in an intelligent way into various data fields and delivers the structured data.

These data fields can be education, experience, skills, contact information, qualification etc.

To sum up, a resume parser can organize and analyze the resume data much faster than humans, bringing automation in your recruitment process.

Though ‘resume parser’ is a commonly used term in the HR tech industry, it is also known as ‘CV Parser’, ‘Resume/CV Extractor’, ‘Resume Extraction Engine’.

A resume parser performs parsing of a resume by extracting the resume information in data fields that can be stored in an ATS (Applicant Tracking System).

A resume parser API brings automation in the way you screen resumes. It is the perfect replacement for the traditional way of screening resumes for a job profile. It also saves recruiters’ time from manual resume data entry.

If you are looking at simplifying the recruitment process for the recruiters and candidates, you must use a resume parser API. You can be:

Jobboard
Enterprise
Applicant Tracking System
Staffing Firm

It depends upon which resume parser you are using. The RChilli Resume Parser can parse resumes in DOC, DOCX, PDF, RTF, TXT, ODT, HTM and HTML, DOCM, DOTM, DOT, DOTX.

Auto-fill data fields from candidate resume on your candidate apply page
Complete candidate information from scanned resumes and through emails
Allow chatbots to ask relevant questions to candidates through structured resume data
Improve search results by indexing its taxonomy ontologies to Solr/Elasticsearch
Configuration of data fields available for a bias-free recruitment
Bulk parsing of resume feed imported from a partner site
Real-time duplicate check at the time of data entry
Simplify the internal referral process with a single resume upload

It depends upon which resume parser you are using. RChilli resume parser can parse resumes in 30+ languages. The parser automatically identifies the language of the resume and extracts the data. With this multilingual support, the recruiters can get quality candidates from across the globe.

Let’s share the working of a resume parser with the following steps:

A candidate visits the career page of an organization.
He/She applies for the job by clicking on the ‘Submit Your Resume’ button.
The resume is uploaded to the company’s ATS
The resume parser reads, analyzes the resume and extracts the candidate data from the resume.
The parser sends the structured data in the form of data fields into the company’s ATS/CRM.
The recruiters can quickly shortlist candidates based on the structured information and find candidates who match the job position.

A resume parser should never store the data that it processes.

RChilli never stores the data and personal identifiable information that is sent to its SaaS Cloud parsing services.

Parse Resume/CV Data and Job Descriptions with Ease and Accuracy

44+Countries 30+Languages Fast 300ms Parsing Speed

33+ Countries

30+ Languages

300ms Parsing Speed

80% Increase in Recruiter Productivity

Features

Benefits

CV/RESUME PARSER API

Fast and Accurate

Accurately parses resumes/CVs into 140+ data fields within average speed of 300ms.

Rich Taxonomy

Multilingual Resume Parser

Uses AI and NLP

GDPR compliant

Easy to integrate