Endpoint Reference

Resume Anonymization

Strip personally identifiable information — name, contact details, address and gender/age signals — from a resume for bias-free, GDPR-compliant blind screening. Returns the structured resume data with PII removed at the chosen level.

Built for EU / GDPR blind screening.

Many enterprises in France, Germany and the Netherlands require blind first-round screening. Choose how aggressively to anonymize with the level parameter.

basic

Removes the candidate's name, photo and date-of-birth signals.

standard

Adds email, phone, full address and personal profile URLs.

full

Adds masking of employer and university names for fully blind review.

POST/v1/anonymize

Request Parameters

Name	Type	Description
fileRequired	file	The resume file to anonymize (PDF, DOCX, TXT).
level	string	Anonymization level: basic, standard (default) or full.
language	string	Language code for the AI free-text scrub (default: 'en').

🌍 Supported Languages50

afAfrikaans

amAmharic

arArabic

bgBulgarian

bnBengali

csCzech

daDanish

deGerman

elGreek

enEnglish

esSpanish

etEstonian

faPersian

fiFinnish

frFrench

guGujarati

heHebrew

hiHindi

hrCroatian

huHungarian

idIndonesian

itItalian

jaJapanese

knKannada

koKorean

ltLithuanian

lvLatvian

mlMalayalam

mrMarathi

msMalay

nlDutch

noNorwegian

plPolish

ptPortuguese

roRomanian

ruRussian

skSlovak

slSlovenian

srSerbian

svSwedish

swSwahili

taTamil

teTelugu

thThai

tlTagalog

trTurkish

ukUkrainian

urUrdu

viVietnamese

zhChinese

Pro Tip

Run anonymization before sharing resumes with first-round reviewers to reduce unconscious bias and meet GDPR blind-screening requirements. The free-text scrub also neutralizes gendered phrases the structured fields can't catch.

curl -X POST https://api.evalcv.com/v1/anonymize \
  -H "x-api-key: YOUR_API_KEY" \
  -F "file=@resume.pdf" \
  -F "level=full" \
  -F "language=en"