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Chem-IQ Scanner: API-Powered Food Analysis
Advanced chemical analysis using USDA, NIH & Wikipedia APIs. Scan ingredients for scientific insights.
USDA API
NIH Resolver
Wikipedia API
Twitter API Ready
Camera Ready
Real-Time APIs
Camera OCR Scan
Scientific Analysis
Input Ingredients
"What's This Chemical?" Camera Scanner
Take a photo or upload an image of ingredient list
We'll use OCR to extract chemical names automatically
Uses OCR technology to scan ingredient lists from photos
Connected APIs
USDA FoodData Central
1,000 requests/hour free. Detailed nutrition analysis.
NIH Chemical Resolver
Convert chemical names to codes. Unlimited free requests.
Wikipedia API
Health effect information on additives. Unlimited free access.
Twitter API v2
Tweet results directly. 500 posts/month free tier.
Share Your Analysis
Perfect for health educators and influencers! Share your API-powered chemical analysis.
For Health Professionals
API-powered features for scientific analysis:
- Real USDA nutrition data comparisons
- NIH chemical structure resolution
- Wikipedia health effect summaries
- Direct Twitter API posting
Decode Your Food: A Guide to the Chem-IQ Scanner
API-powered analysis using USDA, NIH & Wikipedia — understand what's really in your ultra-processed foods
How to Use the Tool
In a world where ingredient lists read like chemistry experiments, the Chem-IQ Scanner cuts through the noise. This API-powered tool helps you understand exactly what's in your ultra-processed foods using real scientific data from the USDA, NIH, and Wikipedia.
1
Input Ingredients
Paste an ingredient list manually, or use the camera OCR feature to snap a photo of any nutrition label.
2
Scan with APIs
Click "Scan with APIs" — the tool fetches USDA nutrition data, NIH chemical codes, and Wikipedia health summaries.
3
Review Your Score
Instantly receive a Chemical Index Score (0–100) and classification — from "Minimally Processed" to "Highly Ultra-Processed."
4
Share & Educate
Use the Twitter API integration to tweet results or copy data to share with your audience.
Pro Tip: Use the NIH Chemical Resolver to look up E-numbers (like E621) and get SMILES notation — perfect for science educators and health influencers.
Why It Matters
The average supermarket product contains dozens of chemical additives — emulsifiers, preservatives, artificial colors, and texturizers. Many are linked to inflammation, gut disruption, and metabolic issues. The Chem-IQ Scanner empowers you to make informed choices by revealing the true chemical load of your food.
Health influencers, educators, and parents can now demonstrate, with scientific backing from government APIs, why whole foods outperform ultra-processed alternatives. Each scan provides:
- Real-time USDA nutritional comparison
- NIH chemical structure data
- Wikipedia health summaries for additives
- Direct Twitter sharing for advocacy
73% of US calories come from UPFs
100+ additives approved in US
Real USDA & NIH data
The Math Behind the Magic
Chemical Index Score Algorithm
Score = (Chemical Count / Total Ingredients × 100) + Processing Bonus Points
⬤ Chemical Additives:
Each detected additive (maltodextrin, carrageenan, MSG, etc.) increases base percentage.
⬤ Processing Bonuses:
+10 for "artificial", +15 for "hydrogenated", +20 for E-numbers (E621, E471).
Real-World Example: Protein Bar
Ingredient list (15 total): Water, Soy Protein Isolate, Corn Syrup Solids, Hydrogenated Coconut Oil, Maltodextrin, Monosodium Glutamate (E621), Emulsifiers (471, 472c), Thickener (415), Salt
Step 1: Chemical additives found = 8 (Isolate, Corn Syrup Solids, Hydrogenated, Maltodextrin, MSG, E621, E471, E415)
Step 2: Base score = (8/15 × 100) = 53.3
Step 3: Processing bonuses: Hydrogenated (+15) + E-numbers present (+20) = +35
Final Score: 53.3 + 35 = 88/100 → "Highly Ultra-Processed"
This score triggers a red badge and suggests swapping for a whole food alternative like nuts or a piece of fruit.
API Data Enrichment
The tool doesn't just count chemicals — it fetches real USDA nutrition (calories, protein, carbs, fat), NIH chemical resolvers for SMILES notation, and Wikipedia summaries so you can educate yourself on why each additive matters.
Common Questions — Answered
Does this replace medical or dietary advice?
No. The Chem-IQ Scanner is an educational and advocacy tool. It provides scientific data from public APIs to help you understand food composition. Always consult healthcare professionals for medical or dietary decisions.
Are the APIs really free? What are the limits?
Yes! The USDA FoodData Central API allows 1,000 requests/hour free. NIH Chemical Resolver and Wikipedia API have no hard limits for educational use. Twitter API v2 (free tier) allows 500 posts/month — perfect for influencers and educators.
How accurate is the camera OCR feature?
The OCR uses browser-based recognition (simulated in this demo). For best results, ensure good lighting and clear ingredient labels. The tool also allows manual paste for 100% accuracy.
What's the difference between "Processed" and "Ultra-Processed"?
According to NOVA classification: Processed foods (score 26–50) have added salt, sugar, or oil. Ultra-Processed (score 51–75) contain industrial ingredients like isolates, hydrogenated oils, and additives. Highly Ultra-Processed (76–100) contain multiple E-numbers and chemical modifications.
Can I use this tool in my classroom or nutrition workshop?
Absolutely! The Chem-IQ Scanner is designed for health educators, nutritionists, science teachers, and wellness influencers. Show students how to read ingredient labels with real API data. The Twitter share feature helps spread awareness.
Data sources: USDA FoodData Central, NIH Cactus, Wikipedia REST API, Twitter API v2
Privacy: No data stored — all analysis happens in your browser
Back to Calculator
Click to return to the top of the page and analyze your next ingredient list
Chem-IQ Scanner v2.0
API-Powered Analysis
Twitter Integration
For Educational Use
🔬 Knowledge is power — understand your ingredients, transform your health choices.
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