DiscoverCloud Resume Parser vs Resume Mapper
DiscoverCloud Resume Parser
rchilli.comResume Mapper
resume-mapper.devSide by side
| Figure | DiscoverCloud Resume Parser | Resume Mapper |
|---|---|---|
| Price from | $6.25/mo | $19/mo |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 9 | 3 |
| Spec score · Resume Parsing Software | 9.2 (#1) | 7.5 (#21) |
| File formats | Documented supported inputs include DOC, DOCX, PDF, RTF, TXT, HTML, ODT, DOCM, DOTM, DOT, DOTX, MHT, PNG and JPEG. | The upload component supports PDF, DOCX, and TXT files with automatic format detection. |
| Intended users | The product page identifies job boards, enterprises, applicant tracking systems, and staffing firms as users for resume parser APIs. | The maker describes use cases for job portals, ATS vendors, recruitment agencies, HR departments, developers and freelancers, and HR-tech startups. |
| Purpose | The resume parser API extracts, enriches, and structures candidate information from resumes for use in hiring workflows. | Resume Mapper parses CVs into structured data for recruitment portals and maps candidate data to a database schema. |
| Support | The pricing page advertises 24x7 customer support for free and Standard offerings and premium customer support for Enterprise. | The maker says inquiries sent to [email protected] receive a reply within one business day. |
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
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.
Resume Mapper
Resume Mapper parses CVs into structured candidate data for recruitment portals and maps extracted fields to a user's database schema. Its AI extraction covers personal information, experience, education, skills, languages, and certifications; the site says it uses GPT-4o-mini. The upload component accepts PDF, DOCX, and TXT files and detects formats automatically. Users can map fields, define transformations, and set default values in the admin panel. Parsed data can be delivered by callback or a webhook that POSTs to the user's API. Developers can use a drop-in NPM widget with TypeScript support or a REST API. The dashboard includes usage metrics, field mappings, webhooks, API key management, analytics, and account settings. A one-time free trial covers 25 CV parses. Starter costs $19 a month and includes 200 parses per month; Pro costs $49 a month and offers unlimited parses, custom field mapping, analytics and reporting, white-labeling, and priority email support. The maker says CV files are processed transiently and not stored on its servers, candidate data is retained only as needed for processing, and the service is GDPR-compliant.