Extract / Resume Parsing
Parsing de CV précis, multilingue et conforme au RGPD

Révolutionnez votre recrutement avec le parsing de CV multilingue.

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Parsing de CV

Le parsing, ou analyse multilingue des CV de Textkernel, permet une saisie des données des candidats rapide, fiable et conforme aux dernières réglementations en matière de protection des données.

L’analyseur syntaxique de CV très précis de Textkernel, Extract!, aide les organismes de recrutement du monde entier à traiter efficacement de gros volumes de documents sur les candidats.

Transformez les millions de candidatures en données structurées qui peuvent être utilisées pour filtrer, rechercher et classer les candidats.

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Extract! parsing de CV

TÉMOIGNAGES

TÉMOIGNAGES DE NOS CLIENTS

Colas

« Après avoir mis en œuvre la technologie de Textkernel, nous avons vu le taux de conversion des candidats augmenter jusqu’à 440 %. Cette diminution des candidatures abandonnées est directement mesurable et justifie à elle seule notre investissement. »Cédric Mendes, Directeur Adjoint Marque Employeur et de l’Engagement chez Colas

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Rheinmetall

« Nous offrons aux candidats qui effectuent des recherches sur notre site carrière un chemin rapide et facile vers des offres d’emploi pertinentes. Notre équipe de recrutement bénéficie de plus de candidats de meilleure qualité et consacre moins de temps à la qualification [le pipeline de candidats]. Nous sommes également plus sûrs que les visiteurs du site Web ne passent pas à côté de postes vacants potentiels qui leur correspondraient. »

Marie Rosenberg, chef d’équipe Acquisition de talents, Rheinmetall AG

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Jacobson

« Jacobson compte un demi-million de candidats avec qui nous avons établi des relations, et le fait d’avoir un meilleur accès à notre base de données a été essentiel. Nous avons maintenant moins de recruteurs qui se tournent d’abord vers des sources extérieures, en raison d’une meilleure accessibilité à nos propres talents. »

Jennifer Shorr, vice-présidente adjointe des opérations, The Jacobson Group

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Tested by prospects and clients against top competition with class-leading results

Thanks to the latest Natural Language Processing (NLP) technology, time-consuming and potentially error-prone manual data entry is a thing of the past.

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Find out how Resume/CV Parsing can work for you?

What is CV/ Resume Parsing?

The resume or CV is imported into parsing software and the information contained within the document file is extracted and distilled into its elements so that the data can be categorized according to predefined fields. 

The extracted data is then automatically normalized. This means it is categorised according to a standard or customer specific format. Normalization ensures better searchability and analysis of the data processed.  

Textkernel also offers her customers the ability to enhance their parsing offering with normalisation to a specific or even custom standard.

The O*NET Profession Classification– The O*Net professional code contains hundreds of standardized and occupation-specific descriptors of approximately 1,000 occupations covering the entire U.S. economy.

ISCO profession Classification – The International Standard Classification of Occupations (ISCO) is one of the main international classifications for which the International Labor Organization is responsible.

Textkernel Profession Classification – A classification including over 4,200 professions curated by Textkernel over the past 10 years thanks to access to over one billion job vacancies.

Textkernel Skills Classification – A classification carefully built and curated by Textkernel R&D, based on the analysis of millions of candidate documents and job vacancies processed.  The Textkernel Skills Normalization Taxonomy currently contains about 135,000 terms that describe just over 11,000 skills, which are divided over four categories: 

  1. Professional skills
  2. IT skills
  3. Soft skills
  4. Languages

Learn more about how Textkernel’s Skills Classification can benefit your organization.

Machine learning is the technology that enables resume parsing.  Thanks to hundreds of hours spent by human annotators across all our languages, large volumes of cvs are broken down into their component parts:  personal and/or contact information, education, work experience, languages, etc.  Then our algorithms are fed millions of cvs to ‘train’ and reinforce the patterns already deciphered by the human annotators.

Once the resume has been parsed, a recruiter can easily search their database for search terms required to generate a shortlist of relevant candidates. The Textkernel parsing software is essential for powering semantic search.  Semantic search is a powerful search technology that adds context to the search terms and tries to understand intent in order to make the results more reliable and comprehensive. Now you can ensure that your recruiters don’t overlook potentially relevant candidates that might have otherwise been overlooked.  Learn more about Textkernel’s Search! offering.

 

Key benefits of the Textkernel CV/Resume Parsing solution:

Dramatically less time required to process and shortlist candidates without compromising on result accuracy.

Our AI technology allows your recruiting team to focus on building human connections. The one thing that AI can never replace.

Our customers demand the highest quality results, otherwise the time savings gained through automation would be of little value. Textkernel continuously explores new techniques to optimise its extraction models.

Since 2017, Extract! has been powered by deep learning which has increased the parsing accuracy of even the most challenging cv formats. Learn more about how Textkernel was the first to launch Deep Learning to improve our parsing software quality.

Register to get updates on our cv/resume parsing improvements.

Increase candidate conversion by incorporating our parsing at the very beginning of the candidate journey.

Our Extract! technology is not just a backend process. We have developed the ability to embed our parsing software into career portals and job sites. The benefits? Dramatically quicker and easier candidate application process that provides an improved candidate experience.

This improves your candidate experience while also giving your recruitment teams the ability to tailor the candidate journey based on their skills.
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The best multilingual resume parsing quality across 23 languages

Chinese parsing
(Simplified)
Croatian parsing Czech parsing Danish parsing
Dutch parsing English parsing English parsing Finnish parsing
French parsing German parsing Greek parsing Hungarian parsing
Italian parsing Japanese parsing Norwegian parsing Polish parsing
Portuguese parsing Romanian parsing Russian parsing Slovak parsing
Slovenian parsing Spanish parsing Swedish parsing Turkish parsing

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The Magic Behind Extract 4.0

How does Machine Learning and Natural Language Processing power Textkernel’s CV/ Resume Parsing?

Sequence labelling in deep learning

What about the data security of parsed information?

Textkernel takes the security and privacy of our customers’ data very seriously. Our stringent data security procedures ensure our customers can be confident that we are handling their data assets with utmost care and consideration.

Learn more from our Information Security Officer
Our Integrations

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