MapRecruit Resume Parser vs Competitors

2018-05-07 11:34:36
TextKernelMapRecruitBurning GlassDaXtraSovren
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Price0 USD We do not charge per resume. We offer multiple licensing models that are designed to fit your revenue model.
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Last update2018-05-07 11:34:362017-09-15 12:41:282015-03-19 21:43:492015-02-04 22:09:562015-03-19 21:43:49
CompanyFormed in 2001Founded in 2015Founded in 1999Founded in Edinburgh, UK in 2002The Sovren Group is privately held and was founded in 1996
HeadquarteredNetherlandsIndiaOne Lewis Wharf Boston MA 02110Europe - Offices in US and AsiaTexas
24/7 Support- Email & online form submission.Yes Email & PhoneYes Phone & email.Yes Email & online issue submission- Email & online issue submission and tracking.
Phone supportYesYesYesYes EuropeYes
Output formatXMLHR-JSON, HR-XML and Customizable format for EnterprisesStandardized HR-XML or mapping it to your specific database configuration.DaXtra Parser outputs a defined XML schema for both Candidates and Vacancies. These schemas can be extended on request to support native extraction of content into bespoke user-fields, or bespoke schemas are also available.HR-XML Resume 2.1, 2.4, and 2.5 schemas, CSV files, and human readable text. The Parser implements virtually the entire schema. All XML schemas are fully customizable and new tags and extensions can be added if so desired.
Distinctive featuresTextkernel 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.DaXtra Parser provides for the parsing of social media content, by supporting the growing list of Social CVs and Business Profiles, along with all electronic communication contact types, such as Twitter, Skype, LinkedIn and Xing contact info, amongst others. Not only does DaXtra Search aggregate searching, it integrates directly into your CRM database, meaning that the CV data you already own is exploited to maximum effect.The Sovren Semantic Matching Engine (“SSME”) works with the Sovren Résumé/CV Parser and the Sovren Job Order Parser to provide advanced matching capabilities between a source document and candidates. The SSME matches profiles, not keywords.
SaasYes Component deployment or hosted solution.Yes Cloud based SaaS PlatformYes Component deployment or hosted solution.Yes Component deployment or hosted solution.
Sample Integration PartnersAdecco, Manpower, Randstad, USG People, Monster, CareerBuilder, XING, Rabobank, ING, AXA, SuccessFactors, SmartRecruiters, Bullhorn, LumesseManpower, Microsoft, Education Advisory Board, Adecco, Google, Brookings, Linkedin, Bloomberg, Kelly Services, Intel, Dice, Accenture, Volt, CompTIARandstad Technologies, Penta, Spencer Ogden, HCL,Orion Group6FigureJobs,, ConstructionJobs, EmploymentCrossing, JIBE, Jobtarget, Latpro, Madgex, Maven, Monster, The Ladders,, Workpop
Input FormatsDOC, 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.We Handle All Input Formats like Doc/Docx, PDF, TXT, RTF, Open Document Format, HTML, Excel etc.Microsoft Word, DOCX, PDF, RTF, HTML, Open Document Format, etc.The Sovren Document Converter converts over 60 formats, including: • Microsoft Word, all versions including DOCX • Rich Text (RTF) • OpenOffice 2.+ • HTML, Microsoft Office HTML, HTML Archives • PDF, all flavors • Corel WordPerfect • Email • Text, many encodings • Excel • Compressed files (Zip, Gzip) • and many other formats.
Multi Locale SupportYes 18 languages supported, with more added on an ongoing basis.YesYes Yes, at least 15 languages.YesYes Yes, at least 17 languages and 31 countries. More planned. Every language, every locale, and can be configured per transaction
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Batch UploadYesYes
Input method(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 apiAPI, Bulk Upload Access on SaaS PlatformFrom Outlook mailboxes or MS Exchange, check folders, or accept job board / multi-post feeds and others.
ScalabilityYes Highly ScalableYes DaXtra Parser can also be supplied as a hosted service, running on a redundant, load-balanced platform, for maximum availability and accuracy from the latest release version at all times.Yes
Output MethodHTTPS POST for API, Either Email or FTP Access or Zip Download option on our Platform
IntegrationExtract! 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.Quick Integration with our Web Service providing output in Various Requested formats using our Connector along with Standard outputs like HR-JSON, HR-XMLSupport is provided for multiple integration methods, including COM objects, Java, Soap and .net, and multiple output formats are supported alongside DaXtra’s own XML schema, including HR-XML.The Parser and Converter are components, not applications, and can be incorporated into your application in several ways: • As direct references in .NET projects • As COM components in any Windows application • As a SOAP web service run on a Windows server and accessed from any platform/language • Via SaaS. The Sovren® Resume/CV Parser is a 100% pure managed code Microsoft .NET assembly (a single DLL). It requires the Microsoft .NET Framework runtime version 2.0 or higher and works in 32-bit or 64-bit applications.
  • 2017-09-15 12:41:28
    2018-05-07 11:34:36
  • English
  • Unlisted
  • Creative Commons License CC-BY-SA 3.0 / GNU FDL
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