Glossary

Food Database

Updated February 28, 2026

A food database stores nutrition entries for quick search and logging. For photo-based workflows, see Food Logging.

Entries and accuracy

Entry typeSourceTip
Packaged foodsLabel dataMatch serving size and brand
Restaurant itemsBrand or chain dataPortions vary; sanity check calories
Generic foodsStandard referencesUse for simple single-ingredient items
Custom recipesUser-built from ingredientsLog once, reuse often

User correction workflow

When values look wrong, use a controlled correction step.

Error typeUser action
Missing serving dataadd serving context before saving
Suspicious calorie mismatchcompare alternate entries and annotate context
Portion ambiguitysave a custom corrected version

When to override automatically

Manual overrides are most useful when:

  1. Serving sizes don’t match across brands or entries.
  2. Label data is missing or inconsistent, creating repeated logging friction.
  3. You’re in a tightly constrained meal planning phase and need repeatable numbers.

Prefer a corrected custom food saved once over repeated guesswork when source quality is uncertain.

Related

Barcode Scanning

Barcode Scanning pulls packaged food data into your logs quickly, then flags mismatches before macro decisions are locked.

Food Logging

Food logging gives measurable data for energy and behavior, while the method stays simple enough to sustain.

Macro Tracking

Macro Tracking turns food entries into trend data, not just one-off meal perfection.