LogMeal
LogMeal Food AI is a comprehensive tool for food recognition, tracking, nutrition analysis, and fast restaurant checkout. The software uses advanced deep learni...
Last verified:
What is LogMeal?
LogMeal is a leading AI-powered platform specializing in food recognition technology and nutritional analysis. Users simply upload an image of a meal, and the system uses advanced deep learning algorithms to detect over 1300 different dishes, identify ingredients, estimate quantities, and provide detailed nutritional information including macros, micros, calories, and more than 35 nutritional indicators. Developed by experts with over 30 years in computer vision and 25 published international papers, it powers applications from personal health tracking to enterprise solutions.
Key features include the Food API for seamless image-based recognition, intake logging, personalized goals and recommendations, food diaries via history endpoints, quantity detection with depth images, barcode scanning, favorites management, and occasions categorization. It supports building food-aware apps with RESTful endpoints like image segmentation, recipe ingredients extraction, and nutritional computation, all accessible via API keys with ready-to-use code in over 35 languages.
Ideal for healthcare providers monitoring diabetes or renal patients, wellness apps offering diet plans, sports teams analyzing athlete nutrition, self-service restaurants enabling fast AI-driven checkouts, and sustainability initiatives reducing food waste through smart monitoring. The platform caters to developers, businesses, and individuals seeking accurate, real-time nutritional insights without manual entry.
Case studies highlight its versatility: health apps for elderly food tracking, lifestyle tools for healthy eating, and restaurant solutions for contactless payments. Trusted by various clients, LogMeal transforms meal photos into actionable data for better decision-making.
LogMeal pricing
Pricing model: Free
Offers a free plan for getting started with limited monthly credits, no payment details required, and email verification. Paid subscription plans provide higher monthly credits, increased daily request limits, and per-second request capacities tailored to business needs; specific pricing and inclusions detailed in account dashboard after signup at LogMeal Signup Page.
LogMeal pros
- Detects over 1300 dishes accurately
- Largest food image dataset worldwide
- 35+ nutritional indicators provided
- Quantity estimation via depth images
- Ingredients list with quantities
- Intake logging and food diary history
- Personalized goals and recommendations
- Barcode scanning integration
- Favorites and occasions management
- Supports 35+ programming languages
- Image pre-processing guidelines
- User confirmation for better accuracy
- Self-checkout for restaurants
- Food waste monitoring capabilities
- Elderly and medical nutrition tracking
- Sports performance analytics
- Contactless payment solutions
- Published 25 research papers
LogMeal cons
- Requires API key and authentication
- Monthly credits and request limits
- Daily and per-second rate limits
- Image quality affects recognition
- Specific image guidelines needed
- Depth images for precise quantity
- Free plan has usage restrictions
- Paid plans required for high volume
- Dependent on internet connectivity
- User confirmation sometimes needed
Frequently asked questions about LogMeal
What does the Food API detect in images?
The Food API detects over 1300 different dishes using the world's biggest food image dataset, identifies multiple food items via segmentation, extracts ingredients with quantities, computes nutritional info like energy, carbs, proteins, fats and 35+ indicators, and supports quantity detection with depth images.
How do I get started with LogMeal API?
Sign up for free at the LogMeal Signup Page, create an API key from your user profile, and make your first request using cURL or code snippets in 35+ languages. Follow quick start guides for image recognition, understanding responses, and essential concepts like plans and limits.
What are the popular API endpoints?
Key endpoints include POST /v2/image/segmentation/complete for detecting and logging intakes, POST /v2/nutrition/recipe/ingredients for ingredient lists, POST /v2/nutrition/recipe/nutritionalInfo for nutrition details, and GET /v2/history/getIntakesList for food diaries.
Who is LogMeal designed for?
It's for healthcare for nutrition tracking in diabetes or renal patients, wellness apps for meal planning, sports for athlete diaries, restaurants for self-checkout, and food waste initiatives; suitable for developers building food-aware experiences.
What experience does the team have?
The team has over 30 years in computer vision across industrial and academic sectors, 7+ years developing deep learning algorithms, and has published 25 international papers on food recognition.
How does quantity detection work?
Use depth-based image sequences around food items with the Quantity Detection API to estimate volumes; users can confirm eaten amounts in grams or portions like Small/Medium/Big for recalculating nutrition.
What are the API limits?
Limits include monthly credits, daily request caps, and per-second rates varying by subscription plan; free plan has restrictions, while paid plans offer higher allowances for production use.
Can users confirm recognitions?
Yes, implement image-based recognition with user confirmation: show top dish predictions from a meal photo, let users refine before saving, which personalizes future food recognition.
What units does it support?
Adapts to user preferences like metric/imperial, cooking measures, or portions while using grams as the source of truth; handles standardized recipe ingredients and nutritional recalculations.
What case studies are available?
Case studies cover health for AI nutrition tracking, wellness for diet recommendations, sports for performance analytics, restaurants for seamless self-checkout, and food waste for smart monitoring and reduction.