Data enrichment

Profiles that
build themselves

Drop a CV and a complete candidate appears. Seekr parses, enriches and dedupes so your database stays clean as it grows.

From document to candidate in three steps

Three steps turn a raw document into a clean, searchable candidate. You do the drop; Seekr does the rest.

Parse

Drop a CV, get a profile

A resume goes in, a structured candidate comes out. Contact, experience and skills land in the right fields with no retyping.

  • PDF and Word
  • Structured fields
  • Ready to search
Enrich

Fill the gaps on their own

Seekr reads what the CV implies and fills it in: salary, education, nationality and English level, so profiles arrive complete.

  • Salary detection
  • Education and DOB
  • Nationality and language
Dedupe

One person, one record

Importing in bulk never doubles your database. Matches are caught on the way in and merged, not scattered.

  • Match on import
  • Merge, not duplicate
  • Clean at scale

One document, every field

Seekr pulls the details a recruiter would otherwise copy by hand, and leaves them ready to filter and match against.

Name and contactStraight from the header
Current titleAnd seniority
LocationCity and country
Expected salaryRead from context
EducationDegrees and dates
Date of birth to ageWhere present
NationalityAnd work eligibility signals
English levelInferred from the CV
SkillsTagged and searchable

Turn documents into a database

Import a stack of CVs and watch them become searchable candidates in a single pass.