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AURORA Resuminer Turn résumés into structured, searchable data

Resuminer reads résumés and turns them into structured candidate data in XML, ready for your ATS and candidate search.

How it works

  1. Résumé: PDF, DOC, DOCX or RTF
  2. Text and layout
  3. Sections and fields
  4. Validated XML
  5. Your ATS or search index

Conceptual product flow.

What it extracts

Schema
234 fields in 21 blocks: contacts, work history, education, skills, languages and more
Languages
Russian and English résumés
Input
PDF, DOC, DOCX and RTF
Output
XML for ATS integration and candidate search
Approach
Rules and dictionaries built from a large résumé corpus; no calls to outside AI services while parsing

Questions

Does Resuminer write résumés?

No. It is not a CV generator. It reads existing résumés and structures them.

Is it available now?

Resuminer is in development. We are talking to ATS and HR Tech teams about integration.

Can it match our ATS format?

Tell us your format and we will discuss how the fields map to it.

Building an ATS or candidate search?

Tell us about your résumé flow, languages and target format.