Feature

CV and Resume Extraction

Convert a CV into a structured candidate profile — contact details, skills and experience.

What is CV and Resume Extraction in Mahad OCR?

Available now. CVs are parsed into structured sections rather than plain text, so a candidate profile can be populated automatically instead of retyped. Input: CV or résumé as PDF, PNG or JPG (up to 5 pages). Limitation: Highly designed CVs with multi-column layouts or graphics can scramble section order.

Available now

What it does

CVs are parsed into structured sections rather than plain text, so a candidate profile can be populated automatically instead of retyped.

How it works

1Upload the CV
2Sections are detected and structured
3Contact fields are normalized
4Profile JSON is returned for your ATS or ERP

Sample result

Illustrative response shape using synthetic data.

{
  "type": "Cv",
  "values": { "name": "…", "email": "…", "phone": "…" },
  "fields": [{ "label": "Skills", "value": "Python, SQL, Project Management" }]
}

Supported inputs

CV or résumé as PDF, PNG or JPG (up to 5 pages).

Fields returned

name, email, phone
skills[]
experience[] — role, company, dates
education[]
summary text

API

POST /v1/documents/upload (optionally doc_type=cv)

Security & privacy

Candidate data stays inside your tenant and is covered by the deletion endpoints.

Current limitations

Highly designed CVs with multi-column layouts or graphics can scramble section order. Dates written in unusual formats may not normalize.