Build an AI CV Extractor: JSON Structured Output Workshop
By Learnia Team
Build an AI CV Extractor: JSON Structured Output Workshop
This article is written in English. Our training modules are available in multiple languages.
Theory is useless without practice. In this hands-on workshop, you will build a complete CV/resume data extractor — from raw resume text to clean, validated JSON. This is the exact pattern used by HR tech companies processing thousands of applications daily.
The Workshop Goal
By the end of this workshop, you will have a prompt pipeline that:
- →Takes raw CV/resume text as input
- →Extracts structured candidate data into a predefined JSON schema
- →Handles edge cases (missing data, ambiguous entries, multiple roles)
- →Validates output and retries on failure
Step 1: Define Your Schema
Before writing any prompt, define the exact output structure you need.
Step 2: Build the Extraction Prompt
Step 3: Test with Real Examples
Step 4: Handle Edge Cases
Step 5: Validation and Retry
Limitations
- →No cross-referencing — The extractor trusts what the CV says. It cannot verify employment claims.
- →Layout dependent — Heavily formatted CVs (columns, tables, graphics) may lose structure when converted to text.
- →Bias risk — AI may assign higher confidence to CVs that match patterns in its training data.
- →Privacy — Always send CV data through secure, compliant channels. Never log PII in development.
Test Your Understanding
Next Steps
You have built a complete structured extraction pipeline! In the next module, you will learn advanced reasoning techniques — Chain-of-Thought and Self-Consistency — to tackle problems that require multi-step logic.
Continue to Chain-of-Thought and Self-Consistency to master AI reasoning patterns.
Module 2 — Structured Outputs
Learn to get reliable, formatted responses like JSON and tables.
Weekly AI Insights
Tools, techniques & news — curated for AI practitioners. Free, no spam.
Free, no spam. Unsubscribe anytime.
→Related Articles
FAQ
What will I learn in this Structured Outputs guide?+
Hands-on workshop to build a CV/resume data extractor using structured AI outputs. Extract names, skills, and experience into clean JSON with validation and error recovery.