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DiscoverCloud Resume Parser vs Hirize HR Parser

DiscoverCloud Resume Parser

rchilli.com

Hirize HR Parser

hirize.ai

Side by side

FigureDiscoverCloud Resume ParserHirize HR Parser
Price from$6.25/mo—
Free planYes—
Free trialYesYes
Open source——
WebYesYes
LinuxYes—
iOSYes—
AndroidYes—
APIYesYes
Self-hostedYes—
Plans published92
Spec score · Resume Parsing Software9.2 (#1)7.5 (#20)
HeadquartersSan Ramon, California, USAMiami, United States
IntegrationsRChilli lists availability through Oracle Cloud Marketplace, SAP SuccessFactors, and Salesforce AppExchange.The integration page describes Greenhouse candidate-data syncing, Zapier workflow automation, and Google integration for importing or exporting files.
LanguagesThe parser supports resumes in 40+ languages and automatically identifies the resume language.The parser page says it handles documents in over 27 languages.
PurposeThe resume parser API extracts, enriches, and structures candidate information from resumes for use in hiring workflows.Hirize HR Parser turns resumes and job descriptions into structured data for HR and hiring workflows.
SupportThe pricing page advertises 24x7 customer support for free and Standard offerings and premium customer support for Enterprise.The integration page says Hirize provides expert support and guidance from concept through completion.

Plans

DiscoverCloud Resume Parser

  • Free creditsFree
  • Basic$75 a month
  • Standard Plan (Annually)$75 a year
  • Standard Plan (Monthly)$75 a month
  • Standard Plan (Quarterly)$75 a month
  • Incubator Program$150, paid once
  • Auto Complete add-on$500 a month
  • Standard yearly plan$20,000 a year
  • Enterprise PlanPriced on request

DiscoverCloud Resume Parser pricing →

Hirize HR Parser

  • Pay-as-you-goPrice not published
  • SubscriptionPriced on request

Hirize HR Parser pricing →

In their own words

DiscoverCloud Resume Parser

DiscoverCloud Resume Parser is an API for extracting, enriching, and structuring candidate details from resumes for hiring workflows. It returns structured JSON and supports more than 200 data fields, with automatic language identification across resumes in 40+ languages. Supported formats include DOC, DOCX, PDF, RTF, TXT, ODT, HTM, HTML, DOCM, DOTM, DOT, and DOTX. The parser can redact potentially biased information from 57+ resume or CV fields. Listed uses include application-form autofill, processing scanned resumes and email, bulk parsing, duplicate checks, and taxonomy-based indexing for Solr or Elasticsearch. RChilli lists integrations through Oracle Cloud Marketplace, SAP SuccessFactors, and Salesforce AppExchange, and says it handles implementation and customizations for HR-system integrations. The API can be hosted on a customer's server; enterprise customers can choose cloud or on-premise arrangements. RChilli says its SaaS parsing services do not store submitted data or personally identifiable information. A free plan includes 100 credits. Standard plans are listed at $75 per month billed monthly or quarterly, or $75 per year billed annually.

Visit rchilli.com

Hirize HR Parser

Hirize HR Parser converts resumes and job descriptions into structured information for hiring workflows. It extracts skills, experience, education, and other fields, with the company claiming more than 150 data points and 95% accuracy. The parser supports over 27 languages and any file format, including JPG, PNG, PDF, DOCX, and hard-copy documents through OCR. Teams can use a REST API, including a simple POST call, and described integrations include Greenhouse candidate syncing, Zapier automation, and Google file import or export. The service runs on the web and through an API. Hirize says data is encrypted at rest with AES-256 and in transit with TLS, is not used to train models, and is protected with OAuth 2.0 and HTTPS; the site lists SOC 2, ISO27001, and GDPR. A free API trial requires no credit card, though its displayed allowance is “X credits.” Each parser file uses one credit. Pricing is on request, with pay-as-you-go and subscription options requiring at least 1,000 files or API calls.

Visit hirize.ai