omega-receipt System Requirements Document

Introduction

The omega-receipt project aims to develop a production-ready, enterprise-grade SaaS application for AI-powered receipt extraction. This document outlines the comprehensive software engineering blueprint required to build the system, ensuring it is scalable, secure, and capable of serving thousands of customers.

System Overview

omega-receipt is a cloud-based multi-tenant SaaS platform designed to allow users to upload receipts and automatically extract structured data using highly accurate AI/OCR APIs. The platform targets a wide range of users, including individuals, freelancers, small businesses, accounting firms, enterprises, finance teams, and expense management companies. The system combines OCR with AI/LLM-based understanding to achieve enterprise-level accuracy.

Source Content Inventory

• AI/OCR Providers: Multiple providers supported through APIs for switching or fallback.
• Data Extraction Fields: Vendor Name, Receipt Number, Date, Time, Currency, Country, Line Items, Quantity, Unit Price, Tax, Discount, Service Charge, Total Amount, Payment Method, Card Digits (masked), Address, Phone, Email, Website, Category, Confidence Score.
• Supported Formats: Receipts from multiple countries, currencies, languages, and layouts.

Functional Requirements as Story Points

• As an Individual, I should be able to upload receipts for extraction.
• As a Freelancer, I should be able to manage my receipts and expenses.
• As a Small Business Owner, I should be able to organize receipts by categories and vendors.
• As an Accounting Firm, I should be able to manage multiple client accounts.
• As an Enterprise User, I should be able to integrate receipt data with existing systems.
• As a Finance Team Member, I should be able to generate analytics and reports.
• As an Expense Management Company, I should be able to offer receipt extraction as a service.
• As a User, I should be able to authenticate using JWT or OAuth.
• As an Admin, I should be able to manage organizations, workspaces, and team members.
• As a User, I should be able to upload receipts via drag & drop, bulk upload, mobile, email, or API.
• As a User, I should be able to review and correct extracted data manually.
• As a User, I should be able to search and categorize receipts.
• As a User, I should be able to export data to CSV, Excel, and PDF.
• As a User, I should be able to receive notifications and view audit logs.
• As a User, I should be able to manage subscription plans and billing.

User Personas

• Individual: A single user managing personal expenses.
• Freelancer: An independent worker managing business-related expenses.
• Small Business Owner: A user managing expenses for a small business.
• Accounting Firm: A firm managing multiple client accounts.
• Enterprise User: A user from a large organization integrating receipt data with enterprise systems.
• Finance Team Member: A user analyzing financial data and generating reports.
• Expense Management Company: A company offering receipt extraction services to clients.

Core User Flows

• Individual uploads receipt -> AI processes receipt -> User reviews and corrects data -> Data is categorized and stored.
• Freelancer uploads bulk receipts -> AI processes receipts -> User exports data to Excel -> Data is integrated with accounting software.
• Small Business Owner uploads receipts via mobile -> AI processes receipts -> User categorizes expenses -> Analytics dashboard is updated.
• Accounting Firm manages client accounts -> Receipts are uploaded via API -> AI processes receipts -> Data is exported to client systems.
• Enterprise User integrates API -> Receipts are uploaded -> AI processes receipts -> Data is synced with enterprise systems.

Visuals Colors and Theme

• primary: #1E3A8A (Deep Blue)
• primary_light: #3B82F6 (Light Blue)
• secondary: #F97316 (Amber)
• accent: #10B981 (Emerald)
• highlight: #F59E0B (Gold)
• bg: #F3F4F6 (Light Gray)
• surface: rgba(255, 255, 255, 0.8)
• text: #111827 (Dark Gray)
• text_muted: #6B7280 (Muted Gray)
• border: rgba(209, 213, 219, 0.2)

Signature Design Concept

Interactive Receipt Journey: The landing page will feature an interactive journey of a receipt being uploaded, processed, and transformed into structured data. Users can drag a receipt icon into a virtual scanner, where it animates through a series of transformations, highlighting key data extraction points. As the receipt moves through the pipeline, users see real-time data extraction and categorization, culminating in a dynamic dashboard display. This concept will be implemented using motion/react for smooth animations and interactions.

LANDING HERO MOTION BRIEF

The hero section will depict a receipt being scanned and transformed into structured data. The animation will start with a receipt icon entering a scanner, followed by data points being highlighted and extracted. The final scene will show a dashboard with organized data. This loop will last 10 seconds, with interactive elements allowing users to explore different data extraction points. The animation will be responsive and accessible, with a reduced-motion option for users who prefer minimal animations.

Interaction Model & Motion Direction

• Intended Interaction Model: Animated
• The landing page will feature moderate scroll-triggered reveals and hover transitions, enhancing user engagement without overwhelming them. Interactive elements will have spring physics for a polished feel.

Non-Functional Requirements

• Scalability to handle thousands of users and receipts.
• High availability with minimal downtime.
• Secure tenant isolation and data encryption.
• Compliance with GDPR and other relevant regulations.
• Robust backup and disaster recovery plans.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Models: GPT 5.4, Claude Sonnet 5, Gemini 3.1 pro
• AI Tools: Litellm, Langchain
• Orchestration: Docker, Kubernetes

Assumptions and Constraints

• The system must support multiple languages and currencies.
• The platform will be hosted on a cloud infrastructure.
• Users will have varying levels of technical expertise.

Glossary

• OCR: Optical Character Recognition
• AI/LLM: Artificial Intelligence / Large Language Model
• JWT: JSON Web Token
• MFA: Multi-Factor Authentication
• GDPR: General Data Protection Regulation

This document provides a detailed blueprint for the omega-receipt project, ensuring that the development team has all the necessary information to build a robust and scalable SaaS application.