Login
Back to Blog
EnglishTutorial

AI Face Reading & Personal Color Analysis with GPT-image-2 — Two Viral Use Cases in One Guide

Build AI face reading and personal color season analysis tools using GPT-image-2 via Crazyrouter API. Full Python, curl, and Node.js code.

C
Crazyrouter Team
May 1, 2026 / 593 views
Share:
AI Face Reading & Personal Color Analysis with GPT-image-2 — Two Viral Use Cases in One Guide

AI Face Reading & Personal Color Analysis with GPT-image-2#

Two more viral AI image use cases that are blowing up on social media: AI Face Reading and Personal Color Season Analysis. Both leverage GPT-image-2's ability to generate detailed infographics with clear text annotations.

This is Part 2 of our GPT-image-2 series. We'll build both tools with complete code.

Result Preview#

AI Face Reading#

AI Face Reading Analysis

The model analyzes facial features — forehead shape, eyebrow arch, eye spacing, nose bridge, lip shape — and generates personality interpretations for each.

Personal Color Analysis#

Personal Color Season Analysis

Determines which color season (Spring, Summer, Autumn, Winter) suits you best, with recommended color palettes for clothing, makeup, and accessories.

Face Reading — Full Code#

Python#

python
from openai import OpenAI

client = OpenAI(
    api_key="your-crazyrouter-api-key",
    base_url="https://crazyrouter.com/v1"
)

face_reading_prompt = """
Create a professional AI face reading analysis infographic.
Style: elegant, modern, dark background with golden accent lines.

Analyze and annotate these facial features:
- Forehead shape → Career & wisdom interpretation
- Eyebrow arch → Personality & temperament
- Eye shape & spacing → Emotional intelligence
- Nose bridge & tip → Wealth & determination
- Lip shape → Communication & relationships
- Jawline → Willpower & resilience

Layout:
- Center: a stylized face outline with golden annotation lines
- Sides: interpretation cards for each feature
- Bottom: overall personality summary with strengths

Professional consultation report style. Clean typography.
"""

response = client.images.generate(
    model="gpt-image-2",
    prompt=face_reading_prompt,
    size="1024x1024",
    n=1
)

print(f"Face reading: {response.data[0].url}")

curl#

bash
curl -X POST https://crazyrouter.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-crazyrouter-api-key" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "Professional AI face reading infographic. Dark background, golden accents. Annotate forehead, eyebrows, eyes, nose, lips, jawline with personality interpretations. Center face outline with annotation lines. Side interpretation cards. Bottom personality summary. Clean modern design.",
    "size": "1024x1024",
    "n": 1
  }'

Personal Color Analysis — Full Code#

Python#

python
color_analysis_prompt = """
Create a personal color season analysis infographic.
Style: clean, elegant, white background with soft color accents.

Show the four color seasons:
- Spring Warm: coral, peach, warm gold, cream
- Summer Cool: lavender, soft blue, rose pink, silver
- Autumn Warm: burnt orange, olive, mustard, chocolate
- Winter Cool: pure white, black, royal blue, true red

Layout:
- Top: title "Personal Color Season Analysis"
- Center: four quadrants, each showing a season with:
  - Season name and characteristics
  - 6-8 color swatches
  - Best clothing/makeup colors
  - Colors to avoid
- Bottom: "Your Season: Autumn Warm" with personalized recommendations

Professional style guide aesthetic. Fashion magazine quality.
"""

response = client.images.generate(
    model="gpt-image-2",
    prompt=color_analysis_prompt,
    size="1024x1024",
    n=1
)

print(f"Color analysis: {response.data[0].url}")

Node.js#

javascript
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "your-crazyrouter-api-key",
  baseURL: "https://crazyrouter.com/v1",
});

// Face Reading
const faceResult = await client.images.generate({
  model: "gpt-image-2",
  prompt: `Professional AI face reading infographic. Dark background, golden accents.
Annotate: forehead, eyebrows, eyes, nose, lips, jawline.
Each with personality interpretation. Clean modern consultation report style.`,
  size: "1024x1024",
  n: 1,
});

// Color Analysis
const colorResult = await client.images.generate({
  model: "gpt-image-2",
  prompt: `Personal color season analysis infographic. Four seasons: Spring, Summer, Autumn, Winter.
Each with color swatches and clothing recommendations.
Fashion magazine quality, clean elegant design.`,
  size: "1024x1024",
  n: 1,
});

console.log("Face:", faceResult.data[0].url);
console.log("Color:", colorResult.data[0].url);

Monetization Ideas#

Both tools have strong viral potential and monetization paths:

ApproachHow It Works
Social media filterUsers upload selfies, share results → organic growth
Paid reportsFree basic reading, detailed premium report for $1-3
LINE / Telegram botAutomated bot charges per reading
Influencer toolBeauty influencers use color analysis for content

Cost#

Each generation costs ~0.040.08via[Crazyrouter](https://docs.crazyrouter.com/en/introduction).At0.04–0.08 via [Crazyrouter](https://docs.crazyrouter.com/en/introduction). At 1 per paid reading, that's a 90%+ margin.


🚀 Crazyrouter — One API key, 600+ models. GPT-image-2, GPT-5.5, Claude Opus 4.7, DeepSeek V4, and more.

👉 crazyrouter.com

Implementation Guides

Related Posts

Codex CLI Installation Guide 2026 for WSL, Devcontainers, and ProxiesTutorial

Codex CLI Installation Guide 2026 for WSL, Devcontainers, and Proxies

A Codex CLI installation guide for real developer environments, including WSL, remote containers, proxy settings, troubleshooting, and multi-model fallback options.

Mar 21
WAN 2.2 Animate Tutorial 2026: API Workflows, Prompting, and Common MistakesTutorial

WAN 2.2 Animate Tutorial 2026: API Workflows, Prompting, and Common Mistakes

A practical WAN 2.2 Animate tutorial for developers and creators covering prompts, API-style workflows, frame consistency, and common production mistakes.

Mar 19
Gemini 2.5 Flash and Flash-Lite for High-RPM APIs: Why Throughput and Low Cost Matter in ProductionTutorial

Gemini 2.5 Flash and Flash-Lite for High-RPM APIs: Why Throughput and Low Cost Matter in Production

A production-oriented guide to using gemini-2.5-flash and gemini-2.5-flash-lite for high-RPM, high-concurrency, cost-sensitive AI workloads through Crazyrouter.

Jul 7
Pika 2.2 API Integration Guide: Build Video Generation Pipelines in 2026Tutorial

Pika 2.2 API Integration Guide: Build Video Generation Pipelines in 2026

"Step-by-step guide to integrating Pika 2.2's API into production video pipelines. Covers text-to-video, image-to-video, effects, pricing, and multi-model fallback strategies."

Apr 13
GPT-5.3 Codex API Access Guide: Pricing, Setup, and OpenRouter AlternativesTutorial

GPT-5.3 Codex API Access Guide: Pricing, Setup, and OpenRouter Alternatives

Want to use GPT-5.3 Codex for code generation? Here's how to access it, compare pricing, and choose the best OpenRouter alternative for developer workflows.

Apr 16
Streaming AI API with SSE and WebSockets in 2026: A Practical Latency GuideTutorial

Streaming AI API with SSE and WebSockets in 2026: A Practical Latency Guide

Implement responsive streaming AI interfaces with Server-Sent Events and WebSockets, including buffering, cancellation, reconnects, usage accounting, and code examples.

Jul 22