What Is A Multilingual Resume Parser?

December 01, 2023 by Navjot Kaur

RChilli Parses in 40+ Languages

Are you a recruiter, HR manager, or hiring executive? Do you receive resumes/CVs in several languages? Isn’t it challenging to extract data from these resumes? Allow RChilli multilingual resume parser, to help you.

Imagine your plight scrolling through your inbox and searching for the right candidate! Moreover, the resumes are in various languages. How many resumes would pop up in your email every day? 

Well, 10 to 50 resumes per vacancy. A rough estimate would be around 200 CVs per day. Isn’t screening so many resumes terrifying? 

Wouldn’t it be good if you didn’t have to do all this manually? Now, this is where a multilingual resume parser fits in!

Resume Parser and its Benefits

A resume parser is a deep learning/AI framework that identifies complete information from resumes and converts unstructured data into structured data. 

RChilli’s resume parser extracts candidate data from resumes in 140+ data fields. 

This simple process saves recruiters hours daily, allowing them to spend more time on candidate interviews. A resume parser removes several manual functions for both recruiters and applicants and speeds up the screening process. 

Who Uses Resume/CV Parser?

A resume/cv parser is used on job boards, applicant tracking systems (ATS), and enterprises to parse and accelerate the application process.  

Many Languages, One Parser - RChilli Multilingual Resume Parser

A multilingual resume parser parses in multiple languages. RChilli’s resume parser auto-identifies the language of the resume and efficiently extracts the data. Currently, we parse in 40+ languages and offer full parsing in the following languages:

1. English 13. French
2. German 14. Spanish
3. Polish 15. Turkish
4. Portuguese 16. Italian
5. Dutch 17. Chinese (Simplified)
6. Japanese 18. Russian
7. Arabic (Right to Left) 19. Danish
8. Swedish 20. Romanian
9. Korean 21. Hebrew
10. Thai 22. Hungarian
11. Ukranian 23. Norwegian
12. Indonesian  


Multilingual resume Parser

Multilingual resume parsing for diverse workforce

Why Do Businesses Need Multilingual Employees?

Modern businesses need employees who can interact with clients in their language. It helps organizations to give better customer support to their non-English speaking clientele.

According to the American Council on the Teaching of Foreign Languages (ACTFL), the following are the key findings of the report:

  1. Nearly 32% of employers are highly dependent on language skills other than English.

  2. Spanish, Chinese, and French languages are currently in the highest demand among U.S. employers.

  3. Nearly 34% of U.S. employers report that their staff needs to meet their foreign language needs.

Why do Enterprises need Multilingual Resume Parser Software?

Enterprises seek multilingual resume parsing software for diverse reasons in the current remote working landscape. With the global nature of hiring, organizations receive resumes from around the world in multiple languages. The multilingual parser stands out by accommodating varied linguistic inputs, a key advantage over single-language counterparts.

Efficient extraction and organization of resumes in a centralized database are vital for recruiters and talent acquisition teams. This streamlined process is essential for promptly filling available positions.

Moreover, multilingual resume parser software provides a unified solution for global companies. This ensures seamless resume processing across all departments worldwide, eliminating the necessity for distinct language-dependent solutions in each country or region.

RChilli Multilingual Resume Parser Features 

Our rich feature list and easy integration make us stand out. Some crucial elements of our cv parser are:

  1. Fast and accurate 

  2. Scalable and configurable 

  3. Uses AI and NLP

  4. Taxonomy

  5. Parsing in 40+ languages

With our expanding geographies across the globe, we offer multilingual resume parsing in the following countries:


  • China
  • United States
  • Mexico
  • Japan
  • Canada
  • Singapore
  • Hong Kong
  • Australia
  • Romania
  • Russia


  • France
  • Germany
  • Poland
  • UK
  • Italy
  • Portugal
  • Netherlands
  • Ukraine
  • Bulgaria
  • Spain

Middle Eastern Region:

  • UAE
  • Saudi Arabia
  • Egypt

7 Factors to Consider while Choosing a Resume Parser

What to look for in resume parser?

While selecting a CV/resume parser, keep the following points in mind:

  1. Parse resumes in all formats, such as DOC, DOCX, PDF, RTF, TXT, ODT, HTM and HTML, DOCM, DOTM, DOT, DOTX

  2. Easily integrates with your existing HR system

  3. It should be capable of extracting the complete resume information in maximum data fields

  4. Creates an executive or management summary so that it can be of help to the recruiters

  5. Multilingual support that automatically identifies region and language to parse information

  6. Should be able to parse resumes in bulk

  7. Allows users to parse resumes/jobs from single or multiple email boxes

From supporting numerous file formats to extracting data from various inboxes, RChilli provides all the above features.

Return on Investment (ROI) and Resume Parser

When considering getting a resume parsing tool, you must ensure that you receive a sizable return on investment (ROI). 

When you invest in a lower-quality system, you may find that it doesn’t do the job well. It hasn’t added any benefit to your existing structure. So, why not invest in a better system to get a better ROI?

You won’t be disappointed if you invest in RChilli’s multilingual resume parser. Our resume parser supports parsing in 40+ languages. It auto-identifies the languages of resumes and extracts the data. 

RChilli AI Resume Parser Pricing

Our resume parser offers unmatched accuracy while converting resumes and CVs into XML or JSON output. With a comprehensive feature set such as multilingual and taxonomy support, RChilli’s cv parser is beyond comparable. 

Now that you know resume parsing and its associated benefits don’t waste your precious time going through infinite resumes.

Get rid of the old-school technique of reading resumes and invest in RChilli’s resume parser.

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