# Food Focus — full product fact sheet

Updated: 2026-07-20

Food Focus is a mobile calorie and nutrition tracker developed by Yurii Borys. It is available on iOS and Android. The product reduces food-logging friction while keeping AI-generated assumptions editable.

## Logging and correction

Users can log a meal from a camera photo, an existing gallery image, a packaged-food barcode, natural-language voice, or typed text. Photo, gallery, voice, and text analyses are estimates. In the standard in-app review, a user can rename or remove ingredients and change ingredient or total-meal grams. Gram changes proportionally scale the current calories and tracked nutrients; they do not perform a new nutrient lookup. A user can also clear the result and analyze again with better context.

After a meal is saved, Edit with AI can accept a typed instruction, a recorded instruction, or both. It sends the current meal and instruction for a complete replacement and writes the returned meal directly. The current flow has no separate preview, visible version history, or dedicated undo action, so the meal should be inspected afterward. Edit with AI is a meal-specific correction workflow. Siri logging is a separate path that can analyze and save a meal in the background without the normal pre-save review screen.

## Food Memory

Food Memory is enabled by default on each device. Its toggle is stored locally, not synced account-wide; turning it off stops memory use and updates from that device without deleting account entries. In the normal single-meal save flow, Food Memory stores one current gram hint for each recognized, normalized ingredient. If a later photo, voice, or text analysis recognizes that ingredient without a clear amount, the saved value may be supplied as personal context. The normal rule is replacement, not averaging or frequency weighting, while a manual edit can set the current hint. Users can rename an entry, change its grams, delete one entry, or clear the list. The account store keeps up to 200 recently updated entries. Siri can update memory without normal pre-save review, and a multi-meal paste can sum duplicate normalized ingredients, so those paths need extra review.

## Nutrition outputs

Saved meals can contain calories, protein, fat, carbohydrates, fiber, added sugar, and saturated fat. Photo, gallery, voice, and text analyses can also receive an AI-estimated 0–100 Health Index. This score is a heuristic, not a validated clinical measurement. A barcode entry currently starts with a default Health Index of zero rather than receiving the same AI meal-quality assessment. The Health Index trend can include barcode default-zero entries in its chart calculation, so a dip caused by barcode meals is not an AI judgment of meal quality.

After at least 10 meals have been logged overall, the Nutrients view can analyze food names from the latest 7 days and infer several nutrients that may deserve attention. It does not quantitatively measure full micronutrient intake, identify a medical deficiency, or replace laboratory testing.

## Personalization and progress

Users can set goals, diet preferences, activity level, weight-loss pace, and nutrition targets. Target generation is deterministic, not AI-generated. For adult profiles without Apple Health, Food Focus uses Mifflin–St Jeor estimated resting energy, then adds a fixed activity allowance of 200, 400, 600, 800, or 1,000 kcal according to the selected level. Goal adjustments are −250, −500, or −750 kcal for the selected weight-loss pace, +300 for gain muscle, +200 for increase strength, +150 for improve endurance, and zero for the other goals. Food Focus calculation floors are 1,200 kcal for female profiles and 1,500 for male profiles; these are product rules, not universal medical thresholds. Current weight affects calories, while the average of current and target weight contributes to protein and fat calculations. Users can edit the resulting targets.

When Apple Health is enabled on iPhone, the base calculation omits the profile activity allowance. It can use available Health resting energy when the rolling value is at least 1,000 kcal and otherwise falls back to Mifflin–St Jeor. Imported active energy is added one-for-one to today's displayed calorie target. Optional Pro calorie carryover is off by default, requires at least 10 logged meals, checks only yesterday, and subtracts yesterday's overage up to 40% of the base target. The effective daily formula is base target + active calories − carryover. These inputs and wearable values remain estimates rather than a direction to consume an exact amount.

Food Focus automatically generates a short home recommendation from available profile and goal data, calculated targets, the current day's logged foods and nutrition gaps, meal times, available activity, calorie carryover, the selected personality, and up to three recent recommendation texts. Eligible Pro users can open a detailed review with three sections: what went well, what to improve, and one tip. Users can choose seven response personalities, and recent recommendation context helps reduce repetition. Progress views include 7, 30, and 90-day calories versus target, macro balance, key nutrient averages, calorie split by meal type, top foods, and consistency.

## Platform differences

Core logging and tracking work on iOS and Android. Apple Health active-calorie adjustment, Siri meal logging, and Daily Progress / Quick Log widgets are currently limited to iPhone. Food Focus exposes five English Siri App Shortcuts: general food logging plus breakfast, lunch, dinner, and snacks. Siri uses the existing account to analyze and save in the background, returns a saved name and estimated calories, counts toward the first 10 meal logs before Pro, and has no pre-save review screen. Quick Log widgets deep-link into selected meal, camera, or barcode flows but do not save inside the widget. Daily Progress widgets show synchronized calorie, macro, meal, activity, and streak snapshots in supported Home Screen and Lock Screen families. The current repository has no Apple Watch app or complication.

## Data sources and limits

Packaged-food barcodes query Open Food Facts first and can fall back to USDA FoodData Central. If a product record is missing one of Food Focus's tracked nutrient fields, the app may AI-estimate only the missing fields per 100 g before saving. A new scan starts at 100 g or at the last gram amount stored locally on that device for the exact barcode. The current barcode flow is grams-only; it does not offer separate serving, pieces, milliliter, or package-fraction selectors. Other meal analysis uses AI estimation. Photos cannot reliably reveal hidden oils, sauces, preparation method, recipe quantities, or exact depth. Users should review results. All guidance is informational and not medical advice.

Canonical source pages:
- https://www.foodfocus.app/
- https://www.foodfocus.app/features
- https://www.foodfocus.app/sources
- https://www.foodfocus.app/about

## Editorial content

The Food Focus blog publishes answer-first, evidence-led explanations of AI-assisted food logging and nutrition tracking. Articles distinguish estimates from measurements, cite visible primary or official sources, name the author and publication date, and state product and medical-information limits.

Published guides:

### Can AI calculate calories from a photo?

- URL: https://www.foodfocus.app/blog/can-ai-calculate-calories-from-a-photo
- AI can estimate calories from a food photo, but it cannot calculate them exactly from pixels alone. The workflow identifies visible foods, infers portions, makes assumptions about hidden ingredients, and connects those assumptions to nutrition data.
- A single photo cannot directly establish exact weight, absorbed oil, sauce quantities, a complete recipe, or the amount actually eaten.
- The useful output is an editable starting estimate, not a measurement.

### Which food-logging method fits the meal?

- URL: https://www.foodfocus.app/blog/best-food-logging-method
- Use a photo for a visible plated meal, a gallery image when logging later, a barcode for a packaged product, and voice or text when known facts are more useful than pixels.
- No method removes the need to verify foods, serving basis, portions, and hidden details.
- Consistency means maintaining a reviewable log, not forcing every meal through one input.

### How Food Memory remembers portions

- URL: https://www.foodfocus.app/blog/how-food-memory-remembers-portions
- Food Memory is enabled by default on each device; the toggle is device-local, while the entries are stored for the account.
- In the normal single-meal save flow, it stores one current gram hint for each ingredient Food Focus recognizes and normalizes.
- A later photo, voice, or text analysis may receive that portion as context only when the current amount is unclear.
- In the normal single-meal flow, newly saved grams replace the previous value. A manual edit can set the current hint. Food Memory does not average portions, weight them by frequency, or guarantee today's amount.
- Users can edit an entry's normalized name or grams, delete one entry, or clear all entries. Turning the feature off stops use and updates on that device without deleting account entries. The account keeps up to 200 recently updated entries.
- Siri and multi-meal paste paths can update memory differently from a standard reviewed single meal and should be checked afterward.

### How barcode calorie scanners work

- URL: https://www.foodfocus.app/blog/how-barcode-calorie-scanners-work
- A barcode normally carries a product identifier such as a GTIN or UPC; it does not contain calories.
- Barcode apps in general may expose serving-based or per-100-unit records. Food Focus specifically uses per-100-g data and scales it to a total gram amount entered by the user.
- Differences from the package can come from a wrong, old, regional, incomplete, or differently based record. Verify the current product, label serving, and consumed amount.
- Food Focus checks Open Food Facts first and USDA as a fallback, then may AI-estimate only tracked nutrient fields that the product record is missing.
- Food Focus uses a gram amount that starts at 100 g or the last locally stored amount for that exact barcode. Its current barcode flow has no serving, pieces, milliliter, or package-fraction selector.

### Which nutrition numbers are worth tracking?

- URL: https://www.foodfocus.app/blog/what-nutrition-numbers-to-track
- Calories provide energy context; protein, fat, carbohydrates, fiber, added sugar, and saturated fat provide different composition and label-based context.
- Percent Daily Values are general reference amounts, not an automatic personalized prescription.
- Longer trends are usually more informative than treating one meal or day as a pass-or-fail score.
- A Health Index generated for a photo, gallery, text, or voice analysis is heuristic. A barcode's default zero is not an assessment. Possible nutrient-gap messages are inferences rather than diagnoses.

### How Food Focus turns today's meals into AI nutrition guidance

- URL: https://www.foodfocus.app/blog/what-ai-nutrition-coach-can-do
- Food Focus generates daily recommendations automatically from available app context.
- The home card contains one short observation and one suggested next step. Eligible Pro users can open a detailed review with “What went well,” “What to improve,” and “Tip” sections.
- The generator can use profile and goal information, targets, today's logged foods and nutrition gaps, meal times, available activity, calorie carryover, a selected personality, and up to three recent generated recommendation texts.
- A confident or friendly tone is not evidence, diagnosis, treatment, or a professional credential.
- Users should verify important claims and seek qualified help for symptoms, conditions, medications, eating-disorder concerns, pregnancy, child nutrition, or other high-stakes decisions.

### How to correct an AI calorie estimate

- URL: https://www.foodfocus.app/blog/how-to-correct-ai-calorie-estimate
- During normal review, ingredients can be renamed or removed and ingredient or total-meal grams can be changed before saving.
- A gram change proportionally scales the current calories, protein, fat, carbohydrates, fiber, added sugar, and saturated fat. It is not a fresh nutrient lookup or proof that the original food identity was correct.
- Edit with AI is a post-save action. It accepts typed or spoken instructions and writes a complete replacement directly, without a separate preview, version history, or dedicated undo screen.
- Saved Food is a reusable meal template; copy and paste clones stored meal values into a selected date and meal type; Food Memory supplies ingredient-level gram hints to later ambiguous analyses.
- A post-save manual or AI meal edit does not automatically rewrite its Food Memory entry.

### How Food Focus calculates daily calorie targets

- URL: https://www.foodfocus.app/blog/how-daily-calorie-targets-are-calculated
- The base target is a deterministic estimate, not AI output or a measured calorie requirement.
- Without Apple Health, Food Focus combines Mifflin–St Jeor estimated resting energy, a fixed profile-activity allowance, and the selected goal adjustment.
- With Apple Health on iPhone, eligible resting energy can replace the resting estimate, the profile activity allowance is omitted, and imported active energy raises today's target one-for-one.
- Optional Pro calorie carryover is off by default, becomes eligible after at least 10 logged meals, checks only yesterday, and subtracts yesterday's overage up to 40% of the base target.
- Every target is editable and remains an informational estimate. Imported active energy is not a medical instruction to eat an exact amount.

### How to log food with Siri and iPhone widgets

- URL: https://www.foodfocus.app/blog/log-food-with-siri-iphone-widgets
- Five Siri App Shortcuts support general food logging plus breakfast, lunch, dinner, and snacks. Current shortcut phrases and dialogs are English.
- Siri analyzes and saves in the background and returns the stored name and estimated calories. It requires an available Food Focus account and network connection, and it does not show the standard pre-save review.
- Siri logs count toward the first 10 meal logs before Pro is required and can update Food Memory when the device-local memory toggle is enabled.
- Quick Log widgets open the app at a meal, camera, or barcode flow; they do not analyze or save a meal inside the widget.
- Daily Progress widgets provide synchronized snapshots for supported iPhone Home Screen and Lock Screen families. Food Focus does not currently include an Apple Watch app or complication.