Methodology

Evidence over marketing.

Supplement labels are written to sell. We exist to make them comparable and verifiable. Here is exactly how our data is sourced, normalized, and reviewed — and where its limits are.

Data sourcing

Our catalog is built from real product labels and manufacturer information, supplemented by community submissions. Each product records both the raw values exactly as printed on the label and a canonical, structured representation. Keeping the raw source alongside the normalized data means every figure we show can be traced back to what the label actually said.

Normalization

Labels are inconsistent: the same nutrient appears as IU or mcg, as retinol or beta-carotene, in grams or milligrams. We resolve ingredient names to canonical substances and convert measurable quantities into comparable units using documented conversion rules. Only valid, measurable units are accepted, which is what makes cross-product comparison and stack totals trustworthy.

Verification & moderation

Every product follows a pending → approved → rejected lifecycle. Submissions are validated at the request, service, and database layers, and reviewed before they enter the public catalog. Quality flags surface where data is incomplete or unusual, so you can weigh how much confidence to place in a given entry.

Who it is for

Suplementor is built for people who want high-fidelity information: biohackers optimizing a regimen, athletes managing intake, and health professionals who need to evaluate formulations quickly. The interface favors data density and precision over lifestyle marketing.

Limitations & disclaimer

Suplementor provides informational data about supplement formulations. It is not medical advice and is not a substitute for consultation with a qualified healthcare professional. Label data can contain errors, change over time, or be incomplete, and clinical references describe population averages rather than individual outcomes. Always verify critical decisions with a professional and the manufacturer before acting on any information here.

Explore the data for yourself.