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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    DaXtra Parser

    Score7 out of 10
    N/AN/AN/A

    Rchilli

    Score6.3 out of 10
    N/ARchilli provides Resume Parsing, Matching, and Data enrichment for global recruiting platforms. Typically, they state their clients are ATS, job boards, and enterprises who need the ability to parse large amounts of resumes or jobs in a scalable manner. They need automated onboarding of candidates, and smarter matching and scoring systems to stay competitive in their markets. Rchilli can connect to any module,…N/A
    Pricing
    DaXtra ParserRchilli
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    DaXtra ParserRchilli
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    DaXtra ParserRchilli
    Considered Both Products
    Daxtra Technologies
    No answer on this topic
    Rchilli
    Chose Rchilli
    We found Rchilli easier to integrate with and easier to do business with. They recognized that we were a startup and offered support targeted at our stage of growth.
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    User Ratings
    DaXtra ParserRchilli
    Likelihood to Recommend
    7.0
    (1 ratings)
    9.6
    (2 ratings)
    Support Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DaXtra ParserRchilli
    Likelihood to Recommend
    Daxtra Technologies
    The high volume of resume intake and a need to reduce parsing manpower. Great for basic information such as contact information and to create records in ATS.
    Incentivized
    Read full review
    Rchilli
    This is a great tool if you need to imbed the functionality (as we have done). Perhaps not a well suited to standalone use.
    Read full review
    Pros
    Daxtra Technologies
    • Move basic information into Bullhorn
    • Integrate with email
    Incentivized
    Read full review
    Rchilli
    • Parsing of Candidate Resumes with good accuracy
    • Around 70 to 80 different Candidate Fields
    • Supports Individual, Bulk Online and Offline Parsing
    Read full review
    Cons
    Daxtra Technologies
    • The information the parses
    • Ability to carry over and read information to complete fields in Bullhorn
    Incentivized
    Read full review
    Rchilli
    • So far, we have nothing to complain about.
    Read full review
    Support Rating
    Daxtra Technologies
    Responsive and able to resolve issues quickly.
    Incentivized
    Read full review
    Rchilli
    No answers on this topic
    Alternatives Considered
    Daxtra Technologies
    No answers on this topic
    Rchilli
    We recently evaluated Azure Cognitive AI Services. It was not economical and we were asked to partner with another partner of Microsoft for specific Resume Parsing Services. Looking at the cost benefits, efficiency of parsing and ease of use of RChilli, we decided to continue with our very good partner RChilli
    Read full review
    Return on Investment
    Daxtra Technologies
    • Helped decrease parse time of resume applications from email
    • Ease to create ATS records of candidates from job boards
    Incentivized
    Read full review
    Rchilli
    • Using Rchilli saved us thousands of dollars in development costs and avoided on-going maintenance.
    • Using their taxonomy's means we don't have to maintain our own, saving us time and subscription costs.
    Read full review
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