Labels you can actually understand.
CleanBites turns scary-looking ingredient lists into plain-language explanations grounded in evidence — so curiosity wins over confusion.
Our mission
Help anyone — not just chemists — read a food, cosmetic, supplement, cleaning, or household label and walk away knowing what it actually means. No fear, no buzzwords, just useful information.
How we approach information
Four principles guide every entry in the database and every AI answer.
Evidence first
We cite peer-reviewed studies, regulatory bodies, and recognized references — not blog posts or marketing copy.
Hazard ≠ exposure
A substance can be hazardous in a lab and harmless on your skin. We separate the two so you can think clearly.
No fear-mongering
We use “high / moderate / low concern” and “evidence is mixed” instead of words like “toxic”.
Not medical advice
CleanBites helps you understand labels. For health decisions, talk to a qualified professional.
How it works
Three steps. No accounts required.
- 01
Snap or search
Type an ingredient or photograph a label, then review the extracted text.
- 02
We match it to a curated database
Each record has aliases, uses, regulatory status, and references — reviewed by humans.
- 03
You see what matters
Plain-language summary with concern level, regional restrictions, and source links.
Behind the project
Developed by Hame
CleanBites started from a simple idea: people deserve to know what they actually eat — and what it really is. Too many ingredient labels are confusing or wrapped in fear, so the goal here is to give everyone clear, evidence-backed answers about what's in their food and products, without the buzzwords or scare tactics.
Found something we're missing?
Anyone can request a new ingredient or submit a record for admin review. Nothing publishes automatically — a human moderator checks references before it goes live.
Get in touch
Contact us
Questions, corrections, partnership requests, or press enquiries — we'd love to hear from you.
4,700+
ingredients indexed
27,000+
label names recognized
0
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