Food Health app icon Food Health for iPhone

AI Food & Health Tracking That Fits Daily Life

Track food, calories, and macros with AI-powered photo and note analysis. Capture and analyze device readings. Share progress with others.

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Current page update: March 14, 2026

Food Is Medicine. But First It Has to Become Data.

A March 8, 2026 Renaissance Circle feature connects the core idea behind Food Health to actual product behavior: better nutrition decisions start with better capture, review, and repeatable meal data.

Featured Renaissance Circle Post

The Food Health app is designed to make real meals measurable without turning daily logging into a chore. Photo capture, note capture, editing, and reanalysis are the practical bridge between intention and useful nutrition data.

The two short demos below show that bridge directly: fast logging on the left, quick correction and refinement on the right.

Capture a meal quickly

Shows the streamlined log flow for turning a real meal into structured data with image capture, notes, and AI analysis.

Edit and refine the record

Shows the faster edit path so users can correct entries, improve data quality, and keep the log useful over time.

Food Health in Your Pocket

Full theme audio for the Food Health demos. It does not autoplay, and starting this track will pause any playing demo video on the page.

Featured Onboarding Screens

These first-run screens set expectations early: starter credits, privacy controls, Apple Health integration for better recommendations, and a generated custom plan.

Welcome screen with 15 free starter credits
Welcome flow with starter credits so users can begin AI meal analysis immediately.
Privacy and security onboarding screen
Privacy matters onboarding: profile data stays on device by default and remains user-editable.
Apple Health integration screen to improve tracking accuracy
Improve accuracy with Apple Health by connecting health data during onboarding.
Custom plan generated after onboarding and Apple Health integration
Custom plan generated after onboarding and Apple Health integration, then editable anytime.

What the App Does

This release focuses on practical logging speed, clearer entry-state behavior, and stronger trend visibility. The interface is designed for quick logging first, then flexible review and deeper analysis when needed.

Fast capture path

Users can create entries from image + notes, image-only, or notes-only input. This reduces friction on busy days and supports incomplete-but-usable logs.

Trust and editability

Analysis is reviewable with Copy and Edit options, and entry-state indicators make unsaved changes obvious before users leave screens.

Core Experience Areas

AI Logging

Photo/Note Meal Analysis

AI estimates calories and macros from meal photos and text notes for faster food journaling.

Nutrition

Smarter Macro and Calorie Estimation

Updated estimation flow supports user calorie priority for better day-level decision support.

Reliability

Deferred Analysis Workflow

Entries can still be saved when analysis fails or is skipped, then reanalyzed later from a visible status badge.

Reports

Trend Visibility

Report and scatter views help users inspect nutrition/activity relationships over time.

Device Data

Custom Device Prompting

Users can customize device-analysis prompts to tune output from visual readings.

Connectivity

Network-Aware Preflight

Offline and weak-network checks avoid long hangs and guide users to save first, then reanalyze later.

Product Screens

Curated screenshots from the current production-oriented flow. This page intentionally excludes duplicate imagery, coming-soon screens, and the buy-credits purchase screen.

Food log card with meal image and macro estimates
Food log card with AI meal summary and macronutrient estimates.
AI food analysis details from meal photo and notes
AI food analysis with identified items plus calorie and macro estimates.
Edit entry swipe action from food log card
Edit entries quickly from card actions.
Delete entry swipe action from food log card
Delete entries directly from swipe actions when cleanup is needed.
Goals and progress dashboard for calories and macros
Goals and progress report for calories, protein, carbs, fat, and fiber.
Scatter plot for nutrition and health trend analysis
Scatter analysis to inspect cross-metric relationships.
Settings verify vision analysis screen
Settings screen with Verify Vision Analysis tools and test photo workflow.
Device analysis settings and output screen
Configurable device analysis and output review.
Settings screen with managed credits and optional API key
Managed credits and optional BYOK API key in Settings, with credits retained for later use.

What’s New in v2.0.0

Release Focus

v2.0.0 strengthens analysis quality, reliability under network stress, and logging continuity when AI analysis cannot run immediately.

It also improves day-to-day velocity with faster New/Edit actions and smoother background behavior after save.

Note: Insights-related UI remains in review and is not presented here as a primary support flow.

Detailed Changes

  • Starter credits added, expandable by in-app purchase or BYOK Claude API key.
  • AI meal analysis from photo and/or notes.
  • Smarter calorie and macro estimation with calorie-priority support.
  • Faster New/Edit flow with streamlined save and reanalyze actions.
  • Clear unsaved-changes guidance and improved entry-state clarity.
  • Analysis review improvements with Copy and Edit tools.
  • Enhanced scatter and report experiences for trend visibility.
  • Smoother post-save background processing.
  • Customizable device AI prompt definition.
  • Deferred analysis workflow with "Still needs analysis" status and later retry.
  • Network-aware preflight for offline and unstable connections.
  • Image compression before analysis/upload with better large-image handling.
  • Scatter stability/performance fixes around invalid numeric values.
  • General performance improvements.

Support and FAQ

Why does an entry show "Still needs analysis"?

The entry was saved while analysis was skipped, failed, or deferred. Open the card and run analysis again when network conditions improve.

Can the app work without immediate network access?

Yes for logging. The app can save entries first and analyze later, with preflight checks to avoid long stalls on unstable or offline connections.

How are calories/macros estimated?

Estimates come from AI analysis of meal photos and user-guided notes. Including a fiducial marker or known-size reference (for example, standard utensils or packaged portions) can improve portion interpretation. Users can review and rerun analysis before saving to align results with expectations.

How do credits and BYOK work together?

Users receive starter credits, can buy more as needed, or switch to their own API key (BYOK). Previously purchased credits are preserved and can be used later if they switch back from BYOK.

Contact, Privacy, and App Details