Resume Parser vs RChilli
RChilli covers many formats and HR suites. We focus on PDF to clean JSON.
Compare Resume Parser and RChilli: file formats, languages, HR system integrations, credit pricing, on-premise and data handling, from each vendor's own pages.
Feature comparison
| Feature | Resume Parser | RChilli |
|---|---|---|
| File formats RChilli if you receive CVs in Word, other formats or scanned PDFs | PDF only, up to 5 MB, needs a text layer (no OCR) | DOC, DOCX, PDF, RTF, TXT, ODT, HTML and other Word formats (per rchilli.com); OCR support listed on pricing page |
| Languages Compare on CVs in your own languages | Reads CVs in many languages, including English, Finnish and Swedish, and always returns English field names | 40+ languages listed, including right-to-left Arabic |
| Accuracy Run the same CVs through both and compare the JSON | No published accuracy figure. Test on your own CVs with 50 free parses per month | See the vendor's own documentation |
| HR system integrations RChilli if you run one of those suites and want a ready connector | REST API. You integrate with your ATS or HRIS yourself | Listed integrations for Oracle HCM, SAP SuccessFactors, Oracle PeopleSoft, Salesforce and ServiceNow |
| Extra products RChilli if you want taxonomy and redaction from the same vendor | Parsing only, fixed schema | Taxonomy, search indexing (Solr, Elasticsearch) and bias redaction across 57+ fields listed alongside the parser |
| Pricing | 50 free parses per month, then prepaid credits from EUR 0.15 down to EUR 0.10 per parse depending on order size (excluding VAT). Credits don't expire | Credit-based plans: a free trial with 100 credits, Standard tiers from 500 credits, Enterprise on quote. See the vendor's pricing page for how credits map to documents |
| On-premise RChilli if you need to host the parser yourself | No ready product. Contact us about on-premise | On-premise and dedicated cloud server listed under the Enterprise plan |
| Data handling | Hosted on Hetzner in Helsinki, Finland. /v1/parse does not store the PDF or the parsed result. Text is processed by OpenAI (US) as a subprocessor | States it does not store data sent to its cloud parsing service; company based in San Ramon, California. See the vendor's privacy documentation for regions |
Our verdict
RChilli is the broader product: many file formats, 40+ languages, connectors for large HR suites, taxonomy and an on-premise option on its Enterprise plan. Resume Parser does one job: a PDF CV in, clean, readable JSON out, with self-serve signup and prepaid pricing in euros. If your CVs arrive as PDFs and you build your own integration, test both on the same set of your CVs and compare the JSON field by field. RChilli details are from rchilli.com (resume parser and pricing pages), checked 11 November 2026.
Why choose us
Readable output
Job titles stay as written, descriptions come out as markdown bullet points with proper casing, so the result can go straight into your UI.
Every work experience entry
The parser is built to keep short stints, freelance work and parallel roles, not just the obvious ones.
Prices in euros, per parse
50 free parses per month, then prepaid credits from EUR 0.15 to EUR 0.10 per parse. Credits never expire and failed parses are not charged.
Nothing kept by /v1/parse
The /v1/parse endpoint does not store the PDF or the parsed result. Hosted in Helsinki, Finland; text is processed by OpenAI (US) as a subprocessor.
Frequently asked questions
For PDF CVs and a team that builds its own integration, yes: it is self-serve, prices each parse in euros and returns readable JSON. If you need Word formats, a ready Oracle, SAP or Salesforce connector, or on-premise hosting, RChilli covers those and Resume Parser does not.
Resume Parser has 50 free parses per month, then prepaid credits from EUR 0.15 down to EUR 0.10 per parse depending on order size (excluding VAT). RChilli sells credits: a free trial with 100 credits, Standard tiers starting at 500 credits and Enterprise pricing on quote (rchilli.com/pricing, checked November 2026).
RChilli lists DOC, DOCX, RTF, TXT, ODT and HTML besides PDF, and its pricing page lists OCR support for scanned documents. Resume Parser accepts only PDF files with a text layer, up to 5 MB.
For PDF CVs, yes. The work is swapping the API call and mapping the JSON fields; our response fields are listed in the API docs. If you also use RChilli's taxonomy, redaction or HR suite connectors, you need to replace those separately.
The API is hosted on Hetzner in Helsinki, Finland. The /v1/parse endpoint does not store the PDF or the parsed result. Resume text is processed by OpenAI (US) as a subprocessor.
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Use casesATS Resume Parsing That Fills Candidate Profiles
Parse PDF resumes into structured JSON and map the fields to your ATS through its own API. One synchronous REST call that can take up to 60 seconds. 50 free parses per month.
Compare on your own CVs
50 free parses per month. Run the PDFs you already send to RChilli and compare the output.