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LogMeal
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Food & Cooking (43)

LogMeal Verified Tool

LogMeal is an AI food-recognition and nutrition platform for analyzing meal images and supporting food-service, wellness, and research applications.

Last Update: August 20, 2026

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Starting price Free + paid plans

Tool Information

LogMeal is an AI food-recognition and nutrition platform for analyzing meal images and supporting food-service, wellness, and research applications.

Organizations define an appropriate use, collect food images lawfully, test cuisines and portions, verify allergens and nutrition, minimize health data, provide correction and non-image alternatives, and keep clinical decisions with qualified professionals.

Free or trial access and paid business products are available; stable numeric public pricing for the selected offering was not verified.

Food AI can misidentify dishes, ingredients, allergens, or nutritional values and create sensitive health profiles. It is not diagnosis or treatment; consent, privacy, bias testing, correction, and qualified review are essential.

F.A.Q (3)

LogMeal is an AI food-recognition and nutrition platform for analyzing meal images and supporting food-service, wellness, and research applications.

Organizations define an appropriate use, collect food images lawfully, test cuisines and portions, verify allergens and nutrition, minimize health data, provide correction and non-image alternatives, and keep clinical decisions with qualified professionals.

Verified pricing: Free + paid plans. Free or trial access and paid business products are available; stable numeric public pricing for the selected offering was not verified.

Pros and Cons

Pros

  • Recognizes 1300+ dishes/ingredients
  • Touchless checkout kiosk
  • 100% API integrable
  • Real-time consumption analysis
  • Strong team expertise
  • Published 25 international papers
  • 30 years in computer vision

Cons

  • Limited to 1300 dishes
  • Cannot handle complex dishes
  • Dependent on image quality
  • Limited customization
  • No real-time support
  • Assumes standard ingredient quantities
  • Might not recognize unique ingredients

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