LogMeal

Turn food photos into nutrition and foodservice data

Intermediate API
Screenshot of LogMeal, Turn food photos into nutrition and foodservice data

What is LogMeal?

LogMeal is a body analyzer tool that turns food photos into nutrition and foodservice data. LogMeal is a deep learning food recognition platform that converts meal photos into nutritional and operational data.

LogMeal is a food recognition and nutritional analysis platform built on deep learning. It takes a photo of a meal, recognizes the dishes on the plate and converts that image into structured data: nutritional values, portion information and meal composition. The company positions the product less as a consumer calorie counter and more as infrastructure for organizations that need food data at scale. That positioning shows in how the offering is split. The Food AI Engine handles image based food recognition, a separate Tray Recognition engine is aimed at canteens, hospitals and self service restaurants, and a Nutrition Management Platform ties the data together for dietitians and care teams. There is also a food recognition app for end users and a kiosk variant for self checkout style deployments. In practice, a dietitian can have clients photograph meals and receive photo based nutrition reports remotely, while a hospital can monitor patient trays, intake and menu compliance without manual logging. The audience is broad and mostly business facing: hospitals, senior living and home care providers, rehabilitation centers, correctional and military dining, sports nutrition and gyms, corporate wellness programs, schools and universities, restaurants and chains, meal kit companies, food retailers, insurers, clinical research teams and public health bodies. Consumer facing wellness and digital health apps can license the engine through an API rather than building recognition models themselves. Where it fits: most photo calorie apps target individual users with a single interface. LogMeal competes more directly with custom computer vision work and with nutrition database providers, offering a ready made recognition layer plus operational tooling for tray and waste analysis. Buyers evaluating it should treat it as a B2B platform decision rather than a download and go consumer app.

How do you use LogMeal?

  1. 1Identify the module that matches your setting
    Start from the solutions area and pick between the Food AI Engine, Tray Recognition engine, Nutrition Management Platform, app or kiosk based on whether you need image analysis, tray level operations or an end user interface.
  2. 2Read the industry page closest to your organization
    Each industry page describes the operational problem LogMeal addresses in that setting, such as remote intake monitoring in home care or menu compliance in hospitals. Use it to check whether your workflow is covered.
  3. 3Review a case study for evidence
    The published case studies show how recognition data was used in diabetes management, athlete nutrition and clinical monitoring projects. Compare the described setup with your own data and reporting needs.
  4. 4Request access and scope the integration
    Contact the team to discuss API access, pilot scope and commercial terms. Pricing is not listed publicly, so licensing and volume details are settled directly during this step.
  5. 5Test recognition on your own images
    Once access is granted, run a sample of real meal or tray photos through the engine and check recognition quality, nutritional output and portion estimates against your existing records.

Pros and cons

Pros

  • Recognition engine covers both individual meal photos and full tray analysis, which few nutrition tools attemptAI
  • Industry specific pages map the product to concrete settings such as hospitals, senior living, schools and correctional facilitiesAI
  • Case studies document real deployments, including type 2 diabetes monitoring and elite athlete nutrition at a sports clubAI
  • Recognized in independent competitions, including a CVPR MetaFood workshop win for 3D food reconstructionAI
  • Separate modules (engine, platform, app, kiosk) let buyers license only the layer they needAI

Cons

  • No public pricing on the homepage, so budget and licensing costs require a sales conversation before any comparisonAI
  • The platform is built for organizations; individuals wanting a simple calorie tracker will find the site hard to navigate toward a personal productAI
  • Accuracy and coverage details per cuisine or region are not stated on the homepage and need to be verified in a trialAI
  • Operational value depends on integration work and staff workflow changes, so smaller sites may not justify the overheadAI
  • Consumer facing documentation and self serve onboarding appear limited compared with the enterprise focusAI

How much does LogMeal cost?

Features

Core capabilities include image based food recognition, nutritional value estimation, tray recognition for high volume dining, a nutrition management platform for care and dietitian teams, a food recognition app for end users and a kiosk option for self service settings. Reported uses span intake monitoring, menu compliance, plate waste measurement and structured food intake data for research.

Learn more

Frequently asked questions about LogMeal

  • Does LogMeal have an API?
    Yes, LogMeal offers an API.
  • How do you use LogMeal?
    The walkthrough on this page covers 5 steps: 1. Identify the module that matches your setting 2. Read the industry page closest to your organization 3. Review a case study for evidence 4. Request access and scope the integration 5. Test recognition on your own images.
  • What platforms does LogMeal support?
    LogMeal is available on Web App, iOS and Android.
  • What are the limitations of LogMeal?
    No public pricing on the homepage, so budget and licensing costs require a sales conversation before any comparison. The platform is built for organizations; individuals wanting a simple calorie tracker will find the site hard to navigate toward a personal product. Accuracy and coverage details per cuisine or region are not stated on the homepage and need to be verified in a trial.

Status

StatusActive
Views0
Outbound clicks0
Added10/21/2026

Platforms

Web AppiOSAndroid

Pricing

Paid