RChilli Resume Parser

RChilli Resume Parser extracts resume information into structured fields for storage in an applicant tracking system. Its REST API extracts more than 200 data fields and accepts formats including DOC, DOCX, PDF, RTF, TXT, ODT, HTML, and related document types. It handles resumes in more than 40 languages and identifies the language automatically. The parser uses deep learning and AI with a taxonomy containing more than 3 million skills and 2.4 million job profiles in multiple languages. Listed features include OCR and automatic column detection. Recruiters can use the Browser Assistant to upload one resume or batches of up to 30. Integrations include Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, SAP, and ServiceNow. RChilli says it does not store resume information on its cloud servers during or after parsing. Plans include a free option with 100 credits and Standard plans listed at $75 a month, billed monthly, quarterly, or annually. Enterprise pricing is customized and not listed.

RChilli offers resume parsing through an API and browser tool, with broad language and file-format support. The free plan provides a limited credit allowance, while Standard plans are listed at $75 a month.

The parser is aimed at job boards, enterprises, applicant tracking systems, and staffing firms that need to convert resumes into structured data.

RChilli Resume Parser converts resumes into structured applicant data through an API and a browser assistant. It suits applicant-tracking systems, staffing companies, job boards, and enterprises handling multilingual, mixed-format pipelines. Its unusually broad parsing and deployment coverage is persuasive, but credit allowances and renewal terms should determine whether it fits your budget.

Overview

The REST API extracts more than 200 resume fields, then applies deep learning and a taxonomy spanning over 3 million skills and 2.4 million job profiles in multiple languages. Automatic language identification covers more than 40 languages. Support for DOC, DOCX, PDF, RTF, TXT, ODT, HTM, HTML, DOCM, DOTM, DOT and DOTX files is valuable when candidates submit inconsistent documents rather than a single standardized template.

OCR and automatic column detection improve the chances of extracting information from scanned or complicated layouts. The Browser Assistant accepts individual uploads or batches of up to 30 resumes, giving recruiters a practical browser workflow alongside automated API processing. Webhooks support event-driven integrations, and components connect with Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, SAP and ServiceNow.

RChilli says resume information is never stored on its cloud servers during or after parsing. It states compliance with ISO 27001:2022, SOC 2 Type II, GDPR, HIPAA, CCPA, PCI and FedRAMP. Server locations include Oregon for US and other clients, London for EU clients, and Singapore for Singapore clients.

Key features

• Deep extraction and taxonomy: The 200-plus fields and large multilingual skills and job-profile libraries are suited to search, matching and normalization, not merely text conversion.
• Broad document coverage: Numerous Microsoft, open-document, text and web formats reduce preprocessing work. OCR and column detection matter when resumes are scanned or arranged in columns.
• Recruiter and developer workflows: The API, batch processing, webhooks and browser uploads cover both high-volume pipelines and occasional manual intake. A browser batch tops out at 30 resumes.
• Enterprise deployment: Enterprise customers can choose scalable cloud or on-premise models, dedicated cloud servers and an API hosted on their own server. That is a meaningful option for organizations with strict infrastructure requirements.
• Operational reach: RChilli says its products process more than 4.1 billion documents annually for over 1,600 recruiting platforms in more than 50 countries, a scale claim that aligns with large recruiting operations.

Pricing

The Free plan costs nothing and includes 100 credits, all products, features and plugins, every supported document format, 40-plus languages, 200-plus fields, OCR and 24x7 support. It is useful for evaluation or very light intake, but 100 credits is a small ceiling for a production recruiting team.

Standard Monthly, Standard Annual and Standard Quarterly each cost $75 a month, with billing respectively monthly, annually or quarterly. All include selectable credits, parsing, search and indexing, 24x7 support, global server availability, 40-plus languages, 200-plus fields and OCR. The identical monthly price makes billing cadence the principal distinction; annual or quarterly commitments are less flexible than monthly billing.

The Incubator Program costs $150, paid once, billed one-time, and supplies 3,000 documents for three-month validity with Resume/Job Parser, Search & Match Engine and Taxonomy. It auto-renews at 75 USD monthly for 500 credits, so teams should account for that renewal after the initial period.

Enterprise uses custom pricing and adds scalable cloud or on-premise deployment, a dedicated cloud server, an API on your own server, premium support and customization. It is the appropriate route for regulated or high-volume organizations, not a transparent low-cost option.

Platforms

RChilli supports API, browser extension, self-hosted and web access. Enterprise deployment can keep the API on your own server, while listed data-center regions help organizations align hosting with geography.

Who it's for

Choose it when an ATS, job board, staffing firm or enterprise needs multilingual parsing, extensive file compatibility, OCR and structured matching data. It is less suitable for a small operation that processes only a handful of resumes and wants a simple, permanently low monthly commitment.

Pros and cons

Pros

• More than 200 fields and a taxonomy of over 3 million skills and 2.4 million job profiles support detailed matching.
• 40-plus languages, automatic language detection and extensive file support handle international, mixed-format intake.
• OCR, column detection, batch processing and webhooks cover messy documents and automated workflows.
• On-premise, dedicated-cloud and customer-hosted API options address demanding deployment and compliance needs.
• Free and Standard plans include 24x7 support; Enterprise adds premium support.

Cons

• The Free plan's 100 credits is restrictive beyond testing or very small volumes.
• Standard plans all start at $75 a month, with credit quantity selectable rather than a clearly stated included quota.
• The Incubator offer expires after three months and automatically renews at 75 USD monthly for 500 credits.
• Enterprise pricing is custom, making large deployments harder to budget in advance.

Alternatives

• Resume Parsing Software is the broader directory starting point for comparing categories.
• Doxis AI.dp is a better fit if Android or iOS access and pay-as-you-go free credit matter more than RChilli's dedicated parser plans.
• DiscoverCloud Resume Parser offers a similar API, self-hosted and web profile with a 100-credit free tier.
• Online Resume Parser suits buyers seeking a €24 monthly starter plan with 500 credits.
• Rezmatch.ai is aimed at lighter screening workloads, with 100 starter credits and a 250-credit one-time pack.
• CV Parser API is a narrower API choice with 50 free parses monthly and a $29 starter plan for 1,000 parses.
• DocuShell Resume Parsing API is preferable when a lower-cost $7.20 starter tier is more important than API access on its free plan.
• Parseur is worth considering for mailbox-centered document workflows and a 20-page free allowance.
• Eden AI fits teams wanting a multi-provider AI gateway with usage-based API charges rather than a dedicated resume-parser subscription.

Verdict

RChilli Resume Parser is a strong choice for recruiting platforms and enterprises that need broad language and file coverage, structured extraction and flexible deployment. Choose it for the taxonomy, OCR and integration breadth; look elsewhere if you need a clearly defined low-volume quota, a cheaper starter plan or no automatic renewal.