Product Label & Ingredients Analyzer

Modern product labels are often a maze of scientific names, E-numbers, and marketing buzzwords. The Product Label Analyzer helps you make informed decisions by decoding the ingredient lists found on food packaging, cosmetics, and supplements. Whether you are trying to avoid specific allergens, reducing your intake of processed additives, or adhering to a vegan lifestyle, understanding what is actually inside a product is the first step toward better health.

This tool parses raw text from ingredient labels, cross-referencing items against a database of known additives, common allergens, and animal-derived substances. It highlights potential health risks, identifies preservatives and artificial colorants, and provides a clearer picture of the product's composition.

This tool utilizes a text-parsing algorithm rather than a mathematical formula. The analysis process follows these logical steps:

• Step 1: Tokenization. The raw text input is cleaned and split into individual ingredients using standard delimiters (commas, periods, parentheses).
• Step 2: Normalization. Text is converted to lowercase and trimmed of excess whitespace to ensure accurate matching.
• Step 3: Dictionary Matching. Each token is cross-referenced against a database containing over 500 known additives, allergens, and non-vegan identifiers.
• Step 4: Risk Scoring. Ingredients are categorized by risk level (Safe, Caution, Avoid) based on regulatory data and health studies.

The system flags partial matches (e.g., detecting "milk" within "skimmed milk powder") to ensure comprehensive detection.