System Requirements Document (SRD)

Project Name: nova-scanner

1. Introduction

The nova-scanner project aims to deliver a mobile application that transforms a smartphone into a powerful document scanner. This app leverages the phone's camera to scan physical documents, automatically detects edges, crops the image, and compiles multiple pages into a single PDF file. Designed for users in India (IN), the app caters to professionals, students, and anyone needing a quick and efficient way to digitize paperwork.

This document outlines the system requirements for the nova-scanner project, incorporating the latest update to support multi-page PDF creation.

2. System Overview

The nova-scanner app will provide users with a seamless and intuitive experience for scanning documents. Key features include:

• Utilizing the phone camera to capture document images.
• Automatic edge detection and cropping for clean, professional scans.
• Support for scanning multiple pages and compiling them into a single PDF file.
• Local storage of scanned PDFs on the device for easy access.

The app will prioritize simplicity, speed, and accuracy, ensuring users can digitize documents effortlessly.

3. Functional Requirements

• As a User, I should be able to use my phone camera to scan documents.
• As a User, I should be able to benefit from automatic edge detection and cropping for scanned documents.
• As a User, I should be able to scan multiple pages and compile them into a single PDF file.
• As a User, I should be able to save the generated PDF files locally on my device.

4. User Personas

4.1. Professional

• Description: Office workers, freelancers, and business owners who need to digitize contracts, invoices, or reports.
• Needs: High-quality scans, multi-page PDF support, and quick saving options.

4.2. Student

• Description: Students who need to scan notes, assignments, or study materials.
• Needs: Easy-to-use interface, multi-page PDFs for study notes, and local storage for offline access.

4.3. General User

• Description: Anyone needing to digitize personal documents like IDs, bills, or forms.
• Needs: Simple scanning process, automatic cropping, and reliable local storage.

5. Visuals Colors and Theme

The nova-scanner app will feature a clean and modern design with a professional yet approachable aesthetic. Below is the unique color palette for the project:

• Background: #F4F4F9 (Soft White)
• Surface: #FFFFFF (Pure White)
• Text: #333333 (Dark Charcoal)
• Accent: #0078D7 (Vivid Blue)
• Muted Tones: #B0BEC5 (Soft Gray-Blue)

This palette ensures a visually pleasing experience, with a focus on clarity and ease of use.

6. Signature Design Concept

The nova-scanner app will feature an interactive scanning workspace as its signature design concept.

Key Features:

• Dynamic Camera Viewfinder: The live camera feed will display a glowing blue outline around detected document edges, providing real-time feedback to users.
• Interactive Multi-Page Carousel: After scanning, users can swipe through a carousel of scanned pages, reorder them with drag-and-drop gestures, and delete any unwanted pages.
• Animated PDF Compilation: When users finalize their PDF, an animation will show the pages stacking together, visually representing the creation of a single document.
• Subtle Micro-Interactions: Buttons will have smooth hover effects, and the app will use haptic feedback for key actions like capturing a scan or saving a PDF.

This design ensures the app feels polished, engaging, and user-friendly, leaving a lasting impression on users.

7. Non-Functional Requirements

• The app must process edge detection and cropping within 1 second per page.
• The app must support devices running Android 8.0 (Oreo) and above.
• The app must save PDFs in a standard format compatible with other devices and applications.
• The app must ensure that scanned documents are stored securely on the device.

8. Tech Stack

Frontend

• React Native for mobile app development.

Backend

• Python with FastAPI for any server-side processing (if required).

Database

• MySQL for storing user preferences and metadata.

AI Models

• Google Nano Banana for edge detection and image processing.

AI Tools

• LangChain for workflow orchestration.

Local Orchestration

• Docker for containerization.

9. Assumptions and Constraints

Assumptions

• Users will primarily use the app in well-lit environments for optimal scanning results.
• Users will have sufficient storage space on their devices for saving PDFs.

Constraints

• The app will not include cloud storage or sharing features in the initial release.
• The app will rely on the device's native camera capabilities, which may vary in quality.

10. Glossary

• Edge Detection: The process of identifying the boundaries of a document in an image.
• PDF: Portable Document Format, a file format for capturing and sharing documents.
• Carousel: A user interface element that allows users to swipe through a series of items.
• Haptic Feedback: A tactile response provided by a device to simulate touch interactions.