RChilli Resume Parser converts resume files 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, HTM, HTML, DOCM, DOTM, DOT, and DOTX. It parses resumes in more than 40 languages and identifies each resume's 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 pricing features include OCR and automatic column detection. Recruiters can use the Browser Assistant to upload one resume or a batch of up to 30. Integrations include Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, SAP, and ServiceNow. RChilli says resume information is not stored on its cloud servers during or after parsing. The free plan includes 100 credits, while Standard plans cost 75.00 USD per month and offer selectable credits. Enterprise deployment options include cloud or on-premise arrangements, dedicated servers, and an API hosted on the customer's server.
Who it is for
RChilli Resume Parser suits job boards, enterprises, applicant tracking systems, and staffing firms that need structured resume data. Recruiters who process batches can also use the browser extension for uploads of up to 30 resumes.
What is good
- Extracts more than 200 resume fields.
- Parses more than 40 languages.
- Free plan includes 100 credits.
- Browser Assistant handles batches up to 30 resumes.
What to know first
- Standard plans cost 75.00 USD per month.
- Enterprise pricing is customized and not listed.
Verdict
RChilli offers broad document-format and language coverage with API and browser-based workflows. Compare its credit-based free plan and Standard pricing with expected parsing volume; Enterprise pricing is custom.
RChilli Resume Parser plans and pricing
All plansCompared on resume parsing software
- Free plan
- No
- Paid from
- $75/mo
- API access
- Yes
- Batch processing
- Yes
- OCR support
- Yes
- Webhook support
- Yes
