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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Datacap

    Score10 out of 10
    N/AIBM® Datacap helps users streamline the capture, recognition and classification of business documents and extract important information. Datacap supports multiple-channel capture by processing paper documents on scanners, mobile devices, multi-function peripherals and fax. It uses natural language processing, text analytics and machine learning technologies, to automatically identify, classify and extract content from unstructured or variable documents. The software can reduce labor and paper…N/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
    IBM DatacapRchilli
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM DatacapRchilli
    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
    User Ratings
    IBM DatacapRchilli
    Likelihood to Recommend
    9.5
    (4 ratings)
    9.6
    (2 ratings)
    Support Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM DatacapRchilli
    Likelihood to Recommend
    IBM
    Once highly customized, IBM Datacap can suit any business unit and scenario. To realize accurate knowledge and insight base on business documents, I would emphasize use of IBM Datacap since it has robust OCR tool that ease document capturing.
    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
    IBM
    • Machine learning automates document processing from external applications and sources like scanners.
    • Exporting data with just a click to other content repositories.
    • Redaction of data based on requester role. Therefore, we are able to block irrelevant or sensitive information based on the specification of users.
    Incentivized
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    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
    IBM
    • Supporting documentation is poor
    • UI is old fashioned
    Incentivized
    Read full review
    Rchilli
    • So far, we have nothing to complain about.
    Read full review
    Support Rating
    IBM
    Generally they are very good and reactive to our requests. if we find an issue our error they are quick to add a fix to the next release if needs be.
    Incentivized
    Read full review
    Rchilli
    No answers on this topic
    Alternatives Considered
    IBM
    It's easier to extract data from documents for analytics, unlike other similar platforms.
    Incentivized
    Read full review
    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
    IBM
    • We have protected and safeguarded business information by redacting documents to ensure that confidential data doesn’t reach to irrelevant business users or cyber attackers.
    • Business procedures automation has been enhanced by IBM Datacap as part of the Cloud pak, which eases workflow and decision management.
    • Being based on modern modular, IBM Datacap allows us to pay for what we use, thus no losses are encountered.
    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
    ScreenShots