MapRecruit Resume Parser vs Competitors

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2019-01-14 21:41:24
MapRecruitTextKernelBurning GlassDaXtra TechnologiesSovrenRchilli
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Site webhttps://www.maprecruit.comhttp://www.textkernel.comhttp://www.burning-glass.com/http://www.daxtra.comhttp://www.sovren.comhttp://rchilli.com/
Mis à jour2019-01-07 10:54:142018-05-07 11:34:362015-03-19 21:43:492019-01-14 21:41:242015-03-19 21:43:492018-01-18 13:27:06
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Prix0 USD We do not charge per resume. We offer multiple licensing models that are designed to fit your revenue model.199 USD for 2000 resumes per month.
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SociétéFounded in 2015Formed in 2001Founded in 1999DaXtra Technologies is a world-leading specialist in high-accuracy, multilingual resume and job parsing, semantic search, matching and recruitment automation. DaXtra offers a competitive edge in finding the best available talent, while keeping the cost-per-hire to a minimum. Our products seamlessly integrate with our clients’ existing systems and processes helping to find relevant information quickly and intuitively, across multiple internal and external databases. With offices spanning the UK, US, Hong Kong, China, Japan and Australia, DaXtra partners with over 1,500 organizations globally. We support the world’s largest staffing companies, best boutique recruitment firms, corporate in-house talent acquisition teams, job boards and software vendors.The Sovren Group is privately held and was founded in 1996Founded in 2010
Siège socialIndiaNetherlandsOne Lewis Wharf Boston MA 02110Founded and headquartered in Edinburgh Scotland, DaXtra has a global presence with offices in London, Hong Kong, US, Australia, Japan and China.TexasSan Ramon,CA
Support 24/7Oui Email & Phone- Email & online form submission.Oui Phone & email.Oui Email & online issue submission- Email & online issue submission and tracking.Oui Email & online issue submission.
Assistance téléphoniqueOuiOuiOuiOui EuropeOuiOui +1 877 572-7737 Call for any query
Format de sortieHR-JSON, HR-XML and Customizable format for EnterprisesXMLStandardized 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.Industry Standards HR-XML compliant, interoperatable with any HRMS or HR suite.
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.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.CV Automation is the game-changer for Recruitment Software's as with existing set up, we Parse resumes, Source Social Profiles of Applicant, enables Semantic search-match to get you the perfect fit and finally all that in single workflow i.e. One Click.
SaasOui Component deployment or hosted solution.Oui Component deployment or hosted solution.Oui Component deployment or hosted solution.Oui Component deployment or hosted solution.Oui SaaS enabled platform for b2b customers
Intégrés en tant que partenairesAdecco, 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, CompTIABullhorn, ICIMS, SAP Success Factors, Oracle Taleo, Adapt, DocCafe, MedJobsCafe, Catsone6FigureJobs, CareerBuilder.com, ConstructionJobs, EmploymentCrossing, JIBE, Jobtarget, Latpro, Madgex, Maven, Monster, The Ladders, TimesJobs.com, WorkpopRamco, Zoho, Perception Systems
Input FormatsAll Input Formats like Doc/Docx, PDF, TXT, RTF, Open Document Format, HTML, Excel etc.DOC, 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.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.Can easily convert all popular formats MS word, Docx, PDF, RTF, HTML.
Multi Locale SupportOuiOui 18 languages supported, with more added on an ongoing basis.Oui Yes, at least 15 languages.OuiOui Yes, at least 17 languages and 31 countries. More planned. Every language, every locale, and can be configured per transactionOui 10 different languages supported.
J'aime 0 1 0 0 0 1
Batch UploadOuiOuiOui
Input methodREST API, Bulk Upload Access on SaaS Platform, Email Inbox, Google Drive, Dropbox, OneDrive(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 apiFrom Outlook mailboxes or MS Exchange, check folders, or accept job board / multi-post feeds and others.Email Inbox, Bulk upload, via API HTTP POST method. In-fact from anywhere where your Cv lies.
ScalabilityOui Highly ScalableOui 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.OuiOui Quick to scale and you can change your plans anytime.
Output MethodHTTPS POST for API, Either Email or FTP Access or Zip Download option on our PlatformOutput in return via HTTP Get POST, Email, FTP is also supported.
IntegrationQuick Integration with our Web Service providing output in Various Requested formats using our Connector along with Standard outputs like HR-JSON, HR-XMLExtract! 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.Support 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.Easy integration with complete documentation. Set up in an hour and start parsing. API call set up. One time work.
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  • 2017-09-15 12:41:28
    2019-01-14 21:41:24
  • English
  • Non listé
  • Creative Commons License CC-BY-SA 3.0 / GNU FDL
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