mossy-scanner System Requirements Document

Introduction

The purpose of this document is to outline the system requirements for the "mossy-scanner" project, a mobile application designed to streamline receipt management for small businesses. The app will focus on core functionalities such as receipt scanning with Optical Character Recognition (OCR), auto-categorizing, support for multiple organizations, and robust search capabilities.

System Overview

The mossy-scanner app is intended to assist small business owners in efficiently managing their receipts. By leveraging OCR technology, the app will extract data from scanned receipts, automatically categorize them, and allow users to manage receipts across multiple organizations. The app will also include a search feature to quickly locate specific receipts or transactions.

Functional Requirements

• As a User, I should be able to scan receipts using my mobile device.
• As a User, I should be able to view extracted data from receipts using OCR.
• As a User, I should be able to have receipts automatically categorized.
• As a User, I should be able to manage receipts for multiple organizations.
• As a User, I should be able to search for specific receipts or transactions.
• As a User, I should be able to test the app on my iPhone.
• As a User, I should have a combined landing, login, and create account page for efficiency and ease of use.

User Personas

• Small Business Owner: Manages finances and receipts for one or more small businesses. Needs efficient receipt management and categorization.
• Accountant: Assists business owners in managing financial records and requires access to organized receipt data.

Core User Flows

• Small Business Owner scans receipt -> OCR extracts data -> Receipt is auto-categorized -> Owner manages receipts across organizations.
• Accountant accesses receipt data -> Searches for specific transactions -> Reviews categorized receipts.

Visuals Colors and Theme

• primary: #2A9D8F (Teal)
• primary_light: #A8DADC (Light Teal)
• secondary: #E63946 (Crimson)
• accent: #F4A261 (Orange)
• highlight: #E9C46A (Gold)
• bg: #F1FAEE (Off White)
• surface: rgba(38, 70, 83, 0.8) (Dark Teal)
• text: #1D3557 (Navy Blue)
• text_muted: #457B9D (Muted Blue)
• border: rgba(233, 69, 96, 0.2) (Light Crimson)

Signature Design Concept

The mossy-scanner app will feature an interactive "Receipt Forest" landing page. Users will navigate through a virtual forest where each tree represents a different organization. Clicking on a tree will reveal a canopy of receipts, each leaf representing a scanned receipt. Users can drag and drop leaves to categorize them or tap to view detailed information. The forest will subtly change colors based on the time of day, providing a dynamic and engaging user experience. This concept will be implemented using @react-three/fiber for 3D interactions and gsap for smooth animations.

Interaction Model & Motion Direction

The landing page will employ a "parallax" interaction model, creating a layered depth effect as users scroll through the Receipt Forest. Decorative elements like floating leaves and shifting light patterns will enhance the immersive experience. Internal pages, such as receipt details and organization management, will use a "static" model to prioritize clarity and ease of use.

Non-Functional Requirements

• The app must be responsive and function seamlessly on both iOS and Android devices.
• OCR processing should occur within 2 seconds per receipt.
• The app should support up to 10,000 receipts per organization without performance degradation.
• Data privacy and security must comply with relevant regulations, including GDPR.

Tech Stack

• Frontend: React Native for mobile app development
• Backend: Python with FastAPI
• Database: MongoDB for flexible data storage
• AI Models: GPT 5.4 for user-friendly responses
• Local Orchestration: Docker and docker-compose

Assumptions and Constraints

• Users will have mobile devices with cameras capable of capturing clear images of receipts.
• The app will initially launch without integration with external accounting software.
• User roles and data export features are not required in the initial release.

Glossary

• OCR (Optical Character Recognition): Technology used to convert different types of documents, such as scanned paper documents, PDFs, or images captured by a digital camera, into editable and searchable data.
• Parallax: A design technique where background images move slower than foreground images, creating an illusion of depth.
• React Native: A framework for building native apps using React.
• FastAPI: A modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.