DiscoverCloud Resume Parser
rchilli.com
What it is
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.
Spec sheet
- What it does
- RChilli Resume Parser converts unstructured resumes into structured JSON data for recruiting systems through an AI and REST API service.Read 15 Oct 2026 · docs.rchilli.com
- Purpose
- The resume parser API extracts, enriches, and structures candidate information from resumes for use in hiring workflows.Read 3 Oct 2026 · rchilli.com
- Intended users
- The product page identifies job boards, enterprises, applicant tracking systems, and staffing firms as users for resume parser APIs.Read 3 Oct 2026 · rchilli.com
- Integrations
- RChilli lists availability through Oracle Cloud Marketplace, SAP SuccessFactors, and Salesforce AppExchange.Read 3 Oct 2026 · rchilli.com
- Privacy
- RChilli says it does not store data or personally identifiable information sent to its SaaS Cloud parsing services.Read 3 Oct 2026 · rchilli.com
- Support
- The pricing page advertises 24x7 customer support for free and Standard offerings and premium customer support for Enterprise.Read 3 Oct 2026 · rchilli.com
- Headquarters
- San Ramon, California, USARead 28 Sep 2026 · rchilli.com
- Founded
- LinkedIn lists RChilli as founded in 2010.Read 15 Oct 2026 · linkedin.com
- API format
- The REST API accepts base64 file data or a public resume URL and returns structured JSON using a user key, version and sub-user ID.Read 15 Oct 2026 · docs.rchilli.com
- API output
- The Resume Parser API accepts resume data and returns structured JSON.Read 3 Oct 2026 · docs.rchilli.com
- Bias redaction
- RChilli says its parser can redact potentially biasing information from more than 57 resume fields.Read 15 Oct 2026 · rchilli.com
- Bias reduction
- The parser can redact potentially biased information from 57+ resume/CV fields.Read 3 Oct 2026 · rchilli.com
- Bulk parsing
- Bulk Upload parses multiple resumes from an FTP server and posts JSON results to a customer webhook.Read 15 Oct 2026 · docs.rchilli.com
- Company headquarters and size
- LinkedIn lists San Ramon, California headquarters and a privately held company size of 51–200 employees.Read 15 Oct 2026 · linkedin.com
- Company legal name
- Crunchbase identifies the legal name as RChilli Inc and lists Vinay Johar as founder and CEO.Read 15 Oct 2026 · crunchbase.com
- Configurable fields
- Administrators can remove selected data fields to reduce information that could introduce recruiting bias.Read 15 Oct 2026 · docs.rchilli.com
- Data retention
- RChilli states that it has never stored resume information on its cloud servers during or after parsing.Read 15 Oct 2026 · rchilli.com
- Documentation and support
- The HelpDesk provides categories for API integration, resume parsing, hosting, plugins, ERP integrations, security and privacy, plus email support and a knowledge base.Read 15 Oct 2026 · help.rchilli.com
- Email integration
- Email Inbox Integration parses resumes sent to a registered RChilli email inbox after a one-time setup.Read 15 Oct 2026 · docs.rchilli.com
- ERP integrations
- Knowledge Center documentation lists integrations with Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, SAP and ServiceNow.Read 15 Oct 2026 · docs.rchilli.com
- Extraction
- RChilli says its resume parser supports extraction into 200+ data fields.Read 3 Oct 2026 · rchilli.com
- Field extraction
- The parser is documented as extracting candidate information across more than 200 fields.Read 15 Oct 2026 · docs.rchilli.com
- File formats
- Documented supported inputs include DOC, DOCX, PDF, RTF, TXT, HTML, ODT, DOCM, DOTM, DOT, DOTX, MHT, PNG and JPEG.Read 15 Oct 2026 · docs.rchilli.com
- Funding
- Crunchbase lists one seed funding round with Founder Friendly Labs as an investor, while the amount is obscured on the public page.Read 15 Oct 2026 · crunchbase.com
- Hosting
- Enterprise customers can choose scalable cloud or on-premise pricing, and the API can be hosted on the customer's own server.Read 3 Oct 2026 · rchilli.com
- Integration
- RChilli says its parser integrates with HR systems and that the company manages implementation and customizations, with integration possible within 15 minutes.Read 3 Oct 2026 · rchilli.com
- Language support
- The product page lists resume parsing in more than 40 languages and automatic language identification.Read 15 Oct 2026 · rchilli.com
- Languages
- The parser supports resumes in 40+ languages and automatically identifies the resume language.Read 3 Oct 2026 · rchilli.com
- Licence
- RChilli’s partner terms describe the APIs and related code as proprietary software licensed under limited, revocable, non-exclusive rights.Read 15 Oct 2026 · rchilli.com
- Limit: billing
- A Capterra reviewer warns about automatic renewal and what they considered multiple or excessive charges.Read 15 Oct 2026 · capterra.com
- Limit: credits
- A G2 reviewer said credits ran out during weekends before moving to a longer contract.Read 15 Oct 2026 · g2.com
- Limit: indexing accuracy
- A G2 reviewer reported incorrect email-address indexing in some resumes.Read 15 Oct 2026 · g2.com
- Limit: matching customization
- A G2 reviewer said the matching function does not allow many custom fields with manually entered values.Read 15 Oct 2026 · g2.com
- Limit: scanned resumes
- A GetApp reviewer reported that scanned image resumes were not parsed and requested OCR support.Read 15 Oct 2026 · getapp.co.uk
- Marketplace integrations
- The enrichment marketplace includes workflows such as Lusha, BOLD, Toofr, RChilli Redact and LLM Parser.Read 15 Oct 2026 · docs.rchilli.com
- News: FedRAMP Ready
- RChilli announced on July 21, 2025 that its Resume Parser had been designated FedRAMP Ready.Read 15 Oct 2026 · rchilli.com
- Postman
- RChilli provides a Postman collection path for trying its APIs.Read 15 Oct 2026 · docs.rchilli.com
- Praise: accuracy and speed
- G2 reviewers repeatedly praise accurate parsing, fast processing and reliable conversion of varied documents into JSON or structured records.Read 15 Oct 2026 · g2.com
- Praise: support and integration
- G2 and GetApp reviewers repeatedly describe setup as straightforward and customer or technical support as responsive and helpful.Read 15 Oct 2026 · getapp.co.uk
- Rating on Capterra
- 4.4 out of 5 from 5 reviewsRead 15 Oct 2026 · capterra.com
- Rating on Chrome Web Store
- 0 out of 5 from 0 ratings for RChilli Oracle ExtensionRead 15 Oct 2026 · chromewebstore.google.com
- Rating on G2
- 4.5 out of 5 from 31 reviewsRead 15 Oct 2026 · g2.com
- Rating on GetApp
- 4.4 out of 5 from 5 reviewsRead 15 Oct 2026 · getapp.com
- Rating on TrustRadius
- 9.6 out of 10 from 2 ratingsRead 15 Oct 2026 · trustradius.com
- Regional hosting
- Customers can select US, Europe or Singapore API servers, while Search and Match is available only from the United States.Read 15 Oct 2026 · docs.rchilli.com
- Resume quality
- The Resume Quality output identifies missing details, detected problems and unnecessary resume information.Read 15 Oct 2026 · docs.rchilli.com
- RScript
- RScript is a web plug-in that RChilli says can reduce parsing integration time from about two hours to two minutes.Read 15 Oct 2026 · docs.rchilli.com
- SDK examples
- GetApp says the API documentation includes integration code samples for Python, Java, C#, Ruby, PHP and Node.js.Read 15 Oct 2026 · getapp.com
- Security and compliance
- RChilli lists ISO 27001:2022, SOC 2 Type II, GDPR, HIPAA, CCPA, PCI, and FedRAMP compliance for the resume parser.Read 3 Oct 2026 · rchilli.com
- Security certifications
- RChilli lists ISO 27001:2022, SOC 2 Type II, HIPAA, GDPR and PCI DSS compliance or certification claims.Read 15 Oct 2026 · rchilli.com
- Self-hosting
- RChilli documents Docker installation for a 64-bit Linux server and says customers should contact support to obtain the API installation.Read 15 Oct 2026 · docs.rchilli.com
- System requirements
- The Docker guide recommends at least a 16-core 3.x GHz processor, 64 GB RAM and 100 GB root-volume storage for 5 to 15 threads.Read 15 Oct 2026 · docs.rchilli.com
- Taxonomy
- Its enrichment taxonomy contains more than 3 million skills and 2.4 million job profiles in multiple languages.Read 15 Oct 2026 · docs.rchilli.com
- Use cases
- Listed uses include application form autofill, processing scanned resumes and email, bulk parsing, duplicate checks, and taxonomy-based Solr or Elasticsearch indexing.Read 3 Oct 2026 · rchilli.com
Plans and prices
Free credits Free 100 credits · all products, features and plugins · 40+ language resume parsing · 24x7 support Read 3 Oct 2026 · rchilli.com
Basic $75 a month usage based / per month starting plan · free trial · free version Read 15 Oct 2026 · getapp.com
Standard Plan (Annually) $75 a year Annually Select credits required · Parse, Search, and Index Documents · 24x7 customer support Read 3 Oct 2026 · rchilli.com
Standard Plan (Monthly) $75 a month Monthly Select credits required · Parse, Search, and Index Documents · 24x7 customer support Read 3 Oct 2026 · rchilli.com
Standard Plan (Quarterly) $75 a month Quarterly Select credits required · Parse, Search, and Index Documents · 24x7 customer support Read 3 Oct 2026 · rchilli.com
Incubator Program $150, paid once one-time; valid for 3 months 3,000 credits · Resume/Job Parser, Search & Match Engine, and Taxonomy · renews at $75 monthly for 500 credits after startup plan expires Read 3 Oct 2026 · rchilli.com
Auto Complete add-on $500 a month flat monthly add-on 10,000 credits per day · available for all plans Read 15 Oct 2026 · docs.rchilli.com
Standard yearly plan $20,000 a year yearly additional parsing-credit add-on available · dedicated-server add-on available Read 15 Oct 2026 · docs.rchilli.com
Enterprise Plan Priced on request Customized pricing · scalable cloud and on-premise models · dedicated cloud server · API can be hosted on own server · premium support Read 3 Oct 2026 · rchilli.com
Strong points and limits
Strong points
- Extraction into 200+ data fields
- Supports resumes in 40+ languages
- Redacts potentially biased information from 57+ fields
- Supports bulk parsing and duplicate checks
- Free plan includes 100 credits
Limits
- Standard plans require selecting credits
- Enterprise pricing is customized and not listed
- Annual Standard plan is $75 per year
Who it suits
The parser suits job boards, enterprises, applicant tracking systems, and staffing firms that need structured resume data in hiring workflows. Teams can use the API or consider customer-server hosting.
DiscoverCloud Resume Parser in depth
Read the full write-up
DiscoverCloud Resume Parser turns resumes into structured candidate data for hiring platforms, staffing firms, and employers processing applications at scale. Its multilingual extraction and deployment options make it a strong fit for varied workflows; the credit-based Standard plans and inconsistent billing terms call for a close look before committing.
Overview
The API accepts resume data and returns structured JSON, with extraction across more than 200 fields and automatic language identification for resumes in 40+ languages. That breadth can help teams normalize applications from different markets, though the output still needs to match the fields their hiring systems use.
Supported formats span DOC, DOCX, PDF, RTF, TXT, ODT, HTM, HTML, DOCM, DOTM, DOT, and DOTX. The parser can also redact potentially biased information from 57+ resume or CV fields. Listed workflows include application-form autofill, scanned-resume and email processing, bulk parsing, duplicate checks, and taxonomy-based indexing in Solr or Elasticsearch.
RChilli says it integrates with HR systems and manages implementation and customizations, with integration possible within 15 minutes. It is also available through Oracle Cloud Marketplace, SAP SuccessFactors, and Salesforce AppExchange. That range is useful for organizations building into an existing stack, but the stated timing should not be treated as a guaranteed deployment schedule.
Key features
Broad extraction and format coverage: More than 200 fields and support for common document types, including scanned-resume workflows, suit bulk intake better than a parser limited to a narrow set of files.
Language handling: Support for 40+ languages with automatic language identification reduces the need to route documents by language in advance.
Bias redaction: Redaction across 57+ fields gives hiring workflows a way to remove potentially biasing details before review.
API and batch processing: Structured JSON output, API access, batch processing, and OCR support cover both integration and high-volume intake needs.
Privacy and compliance: RChilli says its SaaS Cloud parsing services do not store submitted data or personally identifiable information. It lists ISO 27001:2022, SOC 2 Type II, GDPR, HIPAA, CCPA, PCI, and FedRAMP compliance for the parser.
Pricing
The free option costs nothing and includes 100 credits across all products, features, and plugins, 40+ language resume parsing, and 24x7 support. It is a useful way to assess the product, but the credit allowance is finite and the plan does not establish a recurring free quota.
Standard Plan (Monthly) costs $75 a month, billed monthly; Standard Plan (Quarterly) also costs $75 a month, billed quarterly; and Standard Plan (Annually) costs $75 a year, billed annually. All require select credits and include Parse, Search, and Index Documents plus 24x7 customer support. The annual wording is materially different from the monthly rates, so buyers should confirm the intended commitment and credit purchase before selecting a term.
The Incubator Program costs $150, paid once, is valid for 3 months, and provides 3,000 credits for Resume/Job Parser, Search & Match Engine, and Taxonomy. After the startup plan expires, it renews at $75 monthly for 500 credits. It is aimed at startups wanting a defined initial credit pool, but the post-program renewal is an important cost change.
Enterprise has custom pricing, with scalable cloud and on-premise models, a dedicated cloud server, the option to host the API on the customer's own server, and premium support. It is the natural route for organizations with deployment or support requirements beyond Standard, though it does not provide a public price for budgeting. The pricing page advertises 24x7 support for free and Standard offerings and premium support for Enterprise.
Platforms
DiscoverCloud lists API, self-hosted, and web platforms. Enterprise customers can choose scalable cloud or on-premise pricing, and the API can be hosted on the customer’s own server. The self-hosting option matters to organizations with deployment constraints; teams wanting a simple published web subscription may find the enterprise-oriented hosting choices less straightforward.
Who it's for
This parser is best suited to job boards, enterprises, applicant tracking systems, and staffing firms that need multilingual or bulk resume processing, structured fields, and integration into HR workflows. It is less compelling for a small team with low, predictable volume if credit selection and the differing Standard billing terms add more purchasing complexity than the broader extraction capabilities justify.
Pros and cons
Pros: 200+ fields, 40+ languages, automatic language identification, and many supported file formats make it capable of handling varied application inputs.
Pros: Bias redaction, OCR support, batch processing, and indexing use cases extend it beyond basic resume conversion.
Pros: SaaS data non-retention claims, named compliance standards, and self-hosted enterprise deployment address privacy and hosting concerns.
Cons: Standard plans require select credits, and the annual price is expressed per year while the other Standard terms are monthly, complicating direct term comparisons.
Cons: The free offer is limited to 100 credits, while the Incubator plan shifts to $75 monthly for 500 credits after three months.
Alternatives
Resume Parsing Software is the broader category for comparing other resume parsers. Consider Doxis AI.dp if its Android and iOS support or pay-as-you-go free credit better fits your platform or trial needs. RChilli Resume Parser is another RChilli option with API, extension, self-hosted, and web platforms, plus a free offer that includes 100 credits, all document formats, 40+ languages, 200+ fields, OCR, and 24x7 support.
DocuShell Resume Parsing API may suit buyers prioritizing a free monthly allowance: it offers 500 credits per month but no API access on that tier, with file-size and page limits. Choose Parseur instead when its free plan’s 20 pages per month, one user, and 90-day retention fit the workload. Affinda Resume Parser is an alternative for per-document hosted self-serve pricing at US$0.10 per document and 1,000 free documents in the first 14 days.
Online Resume Parser offers a 500-credit monthly Starter plan for €24 a month. Rezmatch.ai may be a better fit for a small screening workload, with 100 starter credits described as about 11 screenings and resumes up to two pages. For a published monthly CV allowance, CVParser.AI offers 1,000 CVs per month for 59.00 EUR or 5,000 for 129.00 EUR.
Verdict
Choose DiscoverCloud Resume Parser if your hiring workflow needs broad multilingual extraction, bulk processing, bias redaction, or enterprise hosting options. Its capabilities span more than basic parsing, but credit requirements and the unusual Standard billing terms merit confirmation against expected volume. Teams seeking simple per-document or fixed monthly pricing should compare alternatives before choosing.
Verdict
DiscoverCloud Resume Parser offers broad extraction, language, and file-format support for hiring workflows. Check credit needs and hosting requirements when choosing between a Standard plan and enterprise arrangements.
Where Specifiction places it
- Resume Parsing Software#1 of 329.2
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