Synthetic Persona Generation Form
Advanced: Use Custom Seed
Same seed = same persona (useful for testing)
Synthetic Persona Generation Output
Each generated persona includes 62+ demographic dimensions with statistical accuracy backed by research and AI-augmented correlations.
- Age, Gender, Ethnicity
- Location & Geography
- Education & Income
- Language Proficiency
- Big Five Personality
- IQ & Literacy Level
- Interests & Hobbies
- Technology Comfort
- Height, Weight, BMI
- Hair, Eyes, Build
- Clothing Sizes
- Physical Description
Why Synthetic Personas?
The Problem
Marketing campaigns, product decisions, and content strategies need authentic demographic insights at scale. LLMs with generic prompts produce uniform responses that miss crucial cultural and demographic nuances.
Traditional approaches require manual persona crafting or expensive focus groups for each project. Both introduce researcher bias and can't scale to test across diverse demographics.
The Solution
Integrate statistically-grounded personas directly into your GenAI workflows. Each persona provides authentic demographic context for more realistic, diverse AI responses.
Test marketing messages, predict customer journeys, and simulate reactions acrossunlimited demographic combinations programmatically - no manual research required.
Technical Innovation: Hierarchical Dependencies
Demographics interconnect systematically. Surgeons rarely earn minimum wage. Geographic location influences career access. Educational opportunities correlate with socioeconomic factors.
Disclaimer: System designed for perspective analysis and testing applications. Not intended for predictive demographic analysis or real-world decision making.
System Advantages
Statistically accurate personas built for modern development workflows
Lightning Speed
Generate personas on-demand instantly, not weeks of manual research
High Accuracy
Realistic demographic correlations with comprehensive statistical validation
Developer First
Clean, documented JSON API built for seamless production integration
Technical Specifications
Regional Coverage:
API Reference Manual
Request
curl -X GET "https://api.personagen.dev/v1/persona" \
-H "X-API-Key: pk_your_key_here" \
-H "Content-Type: application/json"Response
{
"success": true,
"data": {
"name": {
"first_name": "Sarah",
"last_name": "Chen"
},
"demographics": {
// 18 demographic dimensions
},
"psychology": {
// 7 psychological dimensions
},
"lifestyle": {
// 25 lifestyle dimensions
},
"physical": {
// 12 physical dimensions
}
},
"metadata": {
"id": "persona_abc123",
"version": "1.0.0",
"generated_at": "2025-01-15T14:30:45.123Z",
"seed": "user_provided_seed",
"usage": {
"requests_remaining": 99,
"reset_date": "2025-02-01T00:00:00.000Z"
}
}
}Case File Examples
Test AI responses across every demographic. In parallel. In seconds.