Passio is an AI-as-a-service platform that acts as a Nutrition-AI hub. It makes mobile apps smarter with advanced food recognition technology. It saves time and boosts nutrition tracking without manual efforts. It can even recognize over 1 million product labels as well via a vast database.
Not only this, it comes with real-time food detection, scanning, and reading nutrition facts with OCR, images, and voice logging. It even comes with AI-powered analysis for providing details like calories, macronutrients, and more. Lastly, it supports seamless integration with existing mobile apps.
Performance Score
B+
Assistant Quality
High-quality assistance
Interface
User-friendly Interface
AI Technology
Optical Character Recognition (OCR), Deep Learning Algorithms, Computer Vision
Purpose of Tool
It helps users recognize food and track nutrition and meals instantly.
Compatibility
iOS & Android, SSDK Integration
Pricing
No Free trial + Paid plan starts from $25 a month
Who is Using Passio?
- Health & Fitness App Developers: They can integrate it for real-time food recognition and nutrition tracking.
- Dietitians & Nutritionists: It is best for them to create personalized meal planning. As it can help in food detection with meal tracking tools.
- Mobile App Creators:� They can enhance user engagement in wellness, fitness, or lifestyle apps through this tool.�
- Retail & Grocery Businesses: They can use this tool for product recognition, barcode scanning, and smart shopping apps.
- Food Delivery Platforms: This kind of tool works best for them to get nutritional information and dietary filters for meals
Food Recognition
Real-Time Scanning
OCR for Nutrition
Barcode Scanning
Voice Logging
Image & Text Search
Customizable SDKs
Nutrition Analysis
Is Passio Free?
No free trial, but it comes with different pricing models. However, for the enterprise plan, you need to talk to them directly.
- Starter plan costs $25 a month
- Growth plan costs $300 a month
- Pro plan costs $3,000 a month�
Pros & Cons
Best for food recognition and real-time food scanning.
Read and extract data from nutrition labels and support barcode scanning as well.
Support voice logging, image, and text search as well for extra food details.
Offer instant insights about calories, macronutrients, and more.
Use deep learning models for food identification.
It depends upon technical SDK integration and camera quality.
Also, requires an internet connection for proper functionality.
