RChilli Resume Parser

RChilli Resume Parser turns resumes into structured fields for applicant tracking systems, through a REST API and a browser assistant. It is best suited to recruiting platforms and organizations that need broad language, format, and deployment support. Its wide parsing coverage is compelling, but the right plan depends on credit volume and renewal terms.

Overview

The REST API extracts more than 200 resume fields, while deep learning and a multilingual taxonomy connect profiles to more than 3 million skills and 2.4 million job profiles. Automatic language identification across more than 40 languages and support for formats from DOC and PDF to ODT, HTML, and template files make it a strong fit for varied candidate pipelines. OCR and automatic column detection help handle documents that do not arrive as clean, uniform text.

Recruiters can use the Browser Assistant to upload individual resumes or batches of up to 30. The parser also supports batch processing, webhooks, and integration components for Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, SAP, and ServiceNow. RChilli says resume information is not stored on its cloud servers during or after parsing, and states compliance with ISO 27001:2022, SOC 2 Type II, GDPR, HIPAA, CCPA, PCI, and FedRAMP.

Key features

• Broad extraction: More than 200 fields and an extensive skills and job-profile taxonomy suit systems that need structured candidate data for search and matching.
• Wide document and language coverage: More than 40 languages and numerous office, web, and text formats reduce the need to restrict incoming resumes to a narrow set of files.
• Browser and API workflows: The API is suited to product and ATS integration; the extension offers a simpler route for recruiters handling individual files or batches up to 30.
• Deployment choices: Enterprise customers can choose scalable cloud or on-premise models, dedicated cloud servers, and an API hosted on their own server. Server hosting is listed in Oregon, London, and Singapore for respective client regions.

Pricing

The Free plan costs nothing and includes 100 credits, all products, features, and plugins, all document formats, 40+ resume languages, 200+ fields, OCR, and 24x7 support. It is a useful way to start or evaluate a small workflow, but the 100-credit allowance constrains ongoing volume.

Standard Monthly, Standard Annual, and Standard Quarterly each cost $75 a month, with billing monthly, annually, or quarterly respectively. Each offers selectable credits, document parsing, search and indexing, 24x7 support, global server availability, 40+ languages, 200+ fields, and OCR. The listed monthly amount is the same across terms; choose a billing cadence based on the commitment that suits your operation, and confirm the credit quantity you need when selecting credits.

The Incubator Program costs $150, paid once and includes 3,000 documents, three-month validity, Resume/Job Parser, Search & Match Engine, and Taxonomy. It auto-renews at $75 monthly for 500 credits, so teams using this entry offer should account for the recurring charge. Enterprise has custom pricing and adds deployment flexibility, a dedicated server, API hosting on the customer's server, premium support, and customization.

Platforms

RChilli supports API, extension, self-hosted, and web use. That range accommodates both integrated recruiting software and browser-based recruiter workflows, while self-hosting and dedicated deployment options are aimed at larger or more controlled environments.

Who it's for

Job boards, enterprises, applicant tracking systems, and staffing firms are the clearest fits. Teams with multilingual candidate pools, varied file formats, or a need to embed parsing and search into an existing recruiting product can make use of the breadth. A small recruiter with modest volume may find the free allowance sufficient to begin, but should weigh it against the paid credit model before relying on it at scale.

Pros and cons

• Pro: More than 200 fields, 40+ languages, OCR, and broad file support make it adaptable to inconsistent resume inputs.
• Pro: API, browser extension, web, and self-hosted options cover different deployment and recruiter workflows.
• Pro: The free tier includes OCR, all formats, and 24x7 support rather than limiting the test to basic parsing.
• Con: The free plan has only 100 credits, which may be too small for sustained recruiting volume.
• Con: Standard plans require selecting a credit quantity, so the $75.00 monthly price alone does not establish the total processing capacity.
• Con: The Incubator offer auto-renews at $75 monthly for 500 credits after its three-month validity, a term to factor into its one-time entry price.

Alternatives

• Resume Parsing Software is the broader category list for comparing products.
• DiscoverCloud Resume Parser has a similar 100-credit free offer and 75 standard quarterly price; consider it when comparing a closely aligned API and self-hosted option.
• Online Resume Parser offers a 24.00 EUR monthly starter plan for 500 credits, making it worth considering when a defined monthly quota and lower entry price matter more than RChilli's broader stated feature set.
• HrFlow.ai Parsing API charges €0.10 per successful request and includes 100 free requests monthly, a fit for teams preferring request-based pricing.
• Resume Reader API has a paid Pro plan at $99 a month and no free plan; consider it if a paid API plan is preferable to starting with a free allowance.
• Affinda Resume Parser is a paid, web-based alternative.
• Daxtra Parser is another paid alternative.
• Airparser offers a 30-day trial with 20 credits per month and a 33.00 USD monthly Starter plan billed annually; consider it for a trial-first workflow.
• DocuShell Resume Parsing API includes 500 monthly credits on its free plan but no API access there, making its free tier more useful for testing without integration.

Verdict

Choose RChilli when your recruiting operation needs multilingual, format-flexible resume extraction with API and deployment options to match. The broad parsing coverage and free OCR-enabled plan are its strongest reasons to start; the 100-credit cap and selectable paid quotas are reasons to look elsewhere if you need predictable high-volume pricing without first sizing credits.