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Airparser vs DiscoverCloud Resume Parser

What both publish

FactAirparserDiscoverCloud Resume Parser
ExtractionIt uses text LLM, vision LLM, and AI OCR engines to parse documents, including scans and handwritten text.RChilli says its resume parser supports extraction into 200+ data fields.
HeadquartersTallinn, EstoniaSan Ramon, California, USA
IntegrationsIntegrations include Zapier, Make, n8n, Google Sheets, Airtable, and custom REST API and webhook connections.RChilli lists availability through Oracle Cloud Marketplace, SAP SuccessFactors, and Salesforce AppExchange.
LanguagesThe product says it recognizes typed, scanned, and handwritten text in 60+ languages.The parser supports resumes in 40+ languages and automatically identifies the resume language.
PurposeAirparser extracts structured data from emails, PDFs, and other documents into defined fields.The resume parser API extracts, enriches, and structures candidate information from resumes for use in hiring workflows.

Airparser plans

  • TrialFree
  • Starter$33 a month
  • Growth$49 a month
  • Business$149 a month
  • Premium$249 a month

DiscoverCloud Resume Parser plans

  • Free creditsFree
  • Standard Plan (Monthly)$75 a month
  • Basic$75 a month
  • Standard Plan (Quarterly)$75 a month
  • Standard Plan (Annually)$75 a year
  • Incubator Program$150, paid once

Pick Airparser if…

Airparser may suit teams that need to turn emails and documents, including scans or handwriting, into structured data. Human review and connections to spreadsheets, automation services and APIs may suit workflows that require checked exports.

Pick DiscoverCloud Resume Parser if…

It suits job boards, enterprises, applicant tracking systems, and staffing firms that need to process resumes in hiring workflows. Teams needing API access, batch processing, or self-hosted options may find its listed capabilities relevant.

Charts they share