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Resume/CV Parsers
SaaSOui Component deployment or hosted solution.
Formats d'entréeDOC, DOCX, PDF, RTF, HTML, TIFF, TXT, XML and EML. LinkedIn, Facebook, Xing and Viadeo. Hard-copy documents, such as CVs received by post or fax and image files.
Méthode de saisie(Bulk) upload, Email inbox, Textkernel's Apply-With widget, Google Drive, Microsoft OneDrive, Dropbox, LinkedIn, Xing, Google+ and Viadeo, as well as SOAP and Rest api
Format de sortieXML
Méthode d'export
Multi Locale SupportOui 18 languages supported, with more added on an ongoing basis.
Batch Upload
ParticularitésTextkernel develops its resume/CV parsing software with Machine Learning technology. Textractor, the company’s core engine, uses thousands of examples learn how to automatically recognise data from resumes/CVs and profiles. Textkernel is the first company to release resume parsing models based on Deep Learning, available for both English and German, which results in a significant error reduction of up to 30% when parsing resumes/CVs. Deep Learning is being rolled out to additional languages on an ongoing basis.
Source code repository
IntégrationExtract! resume/CV parsing seamlessly integrates into the back-end of any CRM or ATS and can be added to the front-end of your career site through the Apply-with Widget. It can be used as a web-based application (in the cloud) or locally installed (on-site). Data extracted from the resumes/CVs or social profiles can be customised according to the customer’s database fields or the requirements of the customer’s current recruitment or HR system. They can then build an optimum resume/CV database ideal for sourcing, analysis and reporting.
Thoughput (Advertised)
Support 24/7- Email & online form submission.
Assistance téléphoniqueOui
Company Info
SociétéFormed in 2001
Siège socialNetherlands
Intégrés en tant que partenairesAdecco, Manpower, Randstad, USG People, Monster, CareerBuilder, XING, Rabobank, ING, AXA, SuccessFactors, SmartRecruiters, Bullhorn, Lumesse
7 mai 2021 10:01:23
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