BeanBook: AI Coffee Tracker

Product Introduction

1. BeanBook: AI Coffee Tracker is a mobile application designed to digitize and organize coffee-related data through AI-powered scanning and logging tools. It enables users to capture coffee bean details, brewing recipes, and equipment settings using their device’s camera or manual input.
2. The core value lies in transforming unstructured coffee experiences into searchable, analyzable data while simplifying the tracking of variables like grind size, roast dates, and flavor profiles. It serves as a centralized platform for coffee enthusiasts to optimize their brewing process and preserve tasting histories.

Main Features

1. The app uses AI-powered image recognition to scan coffee packaging and automatically extract key details such as origin, processing method, roast date, and tasting notes, eliminating manual data entry.
2. Users can save brewing recipes by inputting YouTube links or URLs, which the app converts into step-by-step guides with timers and measurement tools integrated into the interface.
3. Advanced filtering allows categorization of coffee beans by roast level, grind settings, geographic origin, or user-defined tags, with multiple view modes (grid, timeline, or map-based visualization) for personalized organization.

Problems Solved

1. The app addresses the difficulty of manually tracking complex coffee variables across multiple brewing sessions, which often leads to inconsistent results or lost recipes.
2. It specifically targets specialty coffee enthusiasts, home baristas, and professionals who require precise record-keeping for flavor optimization and batch comparisons.
3. Typical scenarios include documenting experimental pour-over techniques, comparing harvests from the same farm across years, or recreating a café-quality espresso setup at home with exact grind size and temperature parameters.

Unique Advantages

1. Unlike generic note-taking apps, BeanBook employs coffee-specific AI models trained to recognize over 5,000 coffee bag designs and extract industry-specific metadata like SCAA flavor wheel attributes.
2. The platform uniquely integrates brewing math tools that calculate extraction percentages based on input variables like water temperature, brew time, and coffee-to-water ratio, providing real-time quality feedback.
3. Competitive differentiation comes from its multi-layered organization system combining visual, temporal, and geographic data layers, coupled with annual analytics reports that identify usage patterns and flavor preferences.

Frequently Asked Questions (FAQ)

1. How does BeanBook protect my coffee recipe data? All user data is encrypted using AES-256 standards and stored in private cloud containers, with optional local-only storage for premium users, as detailed in the published privacy policy.
2. Can the AI scanner recognize handwritten brew parameters? The current version processes printed text only, but version 1.1 will add support for handwritten grind size notations and roast date stamps through upgraded OCR models.
3. Does the app sync across iOS and Android devices? While currently iOS-exclusive, the developers have confirmed cross-platform synchronization will be implemented in Q4 2025 alongside a web dashboard version.
4. What brewing methods does the recipe converter support? The system automatically detects and formats recipes for 18 methods including AeroPress, Chemex, and siphon brewing, with custom template creation available in the Pro version.
5. How accurate is the AI-generated flavor profile analysis? The flavor recognition algorithm achieves 92% accuracy compared to professional cupping scores in lab tests, utilizing a database of 250,000 Q-grader-certified coffee evaluations for reference.