Meal estimate
624 kcal
Estimated meal

IBS & FODMAP food and symptom tracker
Track meals, symptoms, and patterns in one calm place, so your next decision is based on context.
As you scroll, a magnifying glass moves over a chicken and avocado bowl while GutLens surfaces an estimated meal calorie count, a macro breakdown, a FODMAP screening result noting sorbitol as a common IBS trigger, and a reviewable pattern linking avocado to recent bloating entries.
GutLens brings food, symptoms, and context together without turning your day into a spreadsheet.
Capture meals and symptoms in the way that fits the moment.
See the timing, ingredients, and signals that are easy to miss.
Keep estimated results visible, explainable, and open to review.
Use better context for your next choice, without diagnosis claims.
Three habits make the difference between logging data and understanding it.

Log by typing, scanning, searching, or reviewing a photo. GutLens reads packaging and estimates entries, so logging can fit the moment.
Link symptoms to meals directly or review estimated timing windows. Each connection is labeled, and symptoms can be logged separately or linked later.
Review exposure rates against your baseline with confidence tiers. Patterns need repeated exposures; one unusual day is not enough.
Every screen is backed by a real pipeline, not a black box.


Enter meals by text, barcode, product search, or photo; entries remain reviewable and editable.
Photos estimate portions. Nutrition uses verified per-gram data after you confirm the portion.
Review daily nutrition totals. Trigger-food rankings need repeated occurrences and a meaningful severity signal.
Coach searches food and nutrition sources, checks FODMAP and safety status, and confirms portions before logging.
Useful signals need clear limits and honest uncertainty.
Nutrition comes from USDA, Open Food Facts, similar sources, or deterministic per-gram calculations, never language-model inventions.
Photo and text matches auto-accept only above a high-confidence threshold; other matches await your review.
Labels such as "Estimated match" and "Portion assumed" appear beside the numbers.
Patterns are associations with confidence limits, not proof of causation. GutLens does not replace professional care.
GutLens does not collect location, device or ad identifiers, or behavioral analytics; it does not sell or profile your data.
Food searches share only query text or barcode with providers, never your identity or health data.
Export data or permanently delete your account from Settings at any time.
No. GutLens shows patterns and estimates so you have more context for a conversation with a healthcare provider or dietitian. It doesn't diagnose IBS, food intolerance, or any other condition.
GutLens screens ingredient names, additive tags, and known FODMAP-relevant compounds like sorbitol. It's an ingredient-level screen, not a lab-verified serving-size classification, and low-confidence results are labeled "Not enough information" instead of guessed.
GutLens compares how often a symptom follows a food to your own baseline rate on days without that food. A pattern needs a meaningful run of exposures and a real gap above baseline before it shows medium or high confidence, and it is always labeled a temporal association, not proof of causation.
No. A photo estimates portions, gram ranges, never calories directly. Nutrition is always calculated from verified per-gram data, and matches below a confidence threshold are queued for you to confirm or edit before anything is saved.
Meals, symptoms, and preferences stay tied to your account only. Food lookups send a search term or barcode to services like USDA and Open Food Facts, never your name, email, or health data. Export everything or delete your account permanently from Settings, any time.
No. GutLens is for tracking and context, not treatment. Always talk to a qualified healthcare provider or registered dietitian before making dietary changes, especially during elimination or reintroduction phases.
Log the next meal, and let the pattern show itself.