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DiscoverCloud Resume Parser vs Online Resume Parser

DiscoverCloud Resume Parser

rchilli.com

Online Resume Parser

onlineresumeparser.com

Side by side

FigureDiscoverCloud Resume ParserOnline Resume Parser
Price from$6.25/mo€24/mo
Free planYes—
Free trialYes—
Open source——
WebYesYes
LinuxYes—
iOSYes—
AndroidYes—
APIYesYes
Self-hostedYes—
Plans published97
Spec score · Resume Parsing Software9.2 (#1)7.4 (#23)
HeadquartersSan Ramon, California, USAParis, France
IntegrationsRChilli lists availability through Oracle Cloud Marketplace, SAP SuccessFactors, and Salesforce AppExchange.The API uses HTTPS requests authenticated with an X-API-Key and supports an optional webhook callback.
PurposeThe resume parser API extracts, enriches, and structures candidate information from resumes for use in hiring workflows.HireLayer turns CVs and job descriptions into structured JSON, then matches and ranks candidates.
SupportThe pricing page advertises 24x7 customer support for free and Standard offerings and premium customer support for Enterprise.The Enterprise plan includes dedicated support.

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 →

Online Resume Parser

  • Starter€24 a month
  • One-time credit pack — 500 credits€29, paid once
  • Scale€89 a month
  • One-time credit pack — 2,000 credits€99, paid once
  • One-time credit pack — 10,000 credits€449, paid once
  • EnterprisePriced on request
  • FreePrice not published

Online Resume 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

Online Resume Parser

Online Resume Parser is an API platform from HireLayer that turns CVs and job descriptions into structured JSON for candidate matching and ranking. Its five APIs handle CV extraction, job-criteria extraction, skills matching, candidate matching, and candidate ranking. Resume results can include contact details, experience, education, languages, skills, certifications, and interests. It accepts document, spreadsheet, presentation, text, and image files, with requests sent over HTTPS using an X-API-Key and an optional webhook callback. It is aimed at ATS and HR platforms, job boards, sourcing tools, staffing and recruitment agencies, and RPO providers. The site says files and extracted photos are stored in Paris, with AI processing in the EU; callers can set do_not_store_data to true, though it defaults to false. Free access includes 50 credits per month; Starter costs €24 a month, and Scale costs €89 a month. One-time credit packs are also available, starting at €29, paid once. Encoded requests must be under 6 MiB, and documents above 100,000 extracted characters return HTTP 422.

Visit onlineresumeparser.com