System Requirements Document (SRD)

Project Name: cosmic-transcribeai

1. Introduction

The cosmic-transcribeai project is a web-based application designed to provide seamless audio-to-text transcription services. Built using the MERN stack (MongoDB, Express.js, React, and Node.js), the platform will cater to both personal and professional users, offering advanced features such as transcription history, language selection, export options, and selective re-run capabilities for regenerating transcriptions.

The project aims to deliver a highly interactive and visually appealing user experience, incorporating animations and modern styling. The application will also integrate with a database to store user data and transcription results securely.

This document outlines the system requirements for the development and deployment of cosmic-transcribeai, ensuring alignment with Bhumi's vision and the project's goals.

2. System Overview

The cosmic-transcribeai system will provide users with the ability to upload audio files, transcribe them into text, and manage their transcription history. The system will include:

• A responsive and intuitive user interface built with React.
• A backend powered by Node.js and Express.js to handle API requests and business logic.
• A MongoDB database to store user profiles, transcription data, and preferences.
• Advanced features such as language selection, export options (PDF/Word), transcription history, and selective re-run capabilities for regenerating transcriptions.
• Engaging animations and styling to enhance user experience.

The system will be designed to handle multiple users simultaneously, ensuring scalability and reliability.

3. Functional Requirements

As User:

• I should be able to upload audio files for transcription.
• I should be able to select the language for transcription.
• I should be able to view and manage my transcription history.
• I should be able to export transcriptions in PDF or Word format.
• I should be able to delete or edit my transcription history.
• I should be able to create an account and log in securely.
• I should be able to reset my password if forgotten.
• I should be able to see real-time transcription progress.
• I should be able to manually trigger a selective re-run to regenerate a transcription.

As Admin:

• I should be able to manage user accounts.
• I should be able to monitor system usage and performance.
• I should be able to view and manage transcription logs.

4. User Personas

1. Regular User

• Description: Individuals or businesses looking for audio-to-text transcription services.
• Goals: Upload audio files, transcribe them, and manage transcription history.
• Pain Points: Accuracy of transcription, ease of use, and export options.

2. Admin

• Description: System administrators responsible for managing the platform.
• Goals: Monitor system performance, manage user accounts, and ensure smooth operation.
• Pain Points: Scalability, security, and system reliability.

5. Visuals Colors and Theme

The visual identity of cosmic-transcribeai will be modern, sleek, and futuristic, reflecting its cutting-edge AI capabilities. Below is the custom color palette:

• Background: #1B1B3A (Cosmic Indigo)
• Surface: #2C2C54 (Stellar Navy)
• Text: #F5F5F5 (Lunar White)
• Accent: #3A86FF (Nebula Blue)
• Muted: #6A0572 (Muted Violet)

The theme will emphasize clarity and professionalism while maintaining a futuristic aesthetic.

6. Signature Design Concept

Interactive Galaxy Transcription Hub

The homepage of cosmic-transcribeai will feature an interactive galaxy map where each star represents a feature or section of the website.

• Visuals:

  • A dynamic, 3D galaxy background with stars and constellations that subtly move as the user navigates.
  • Hovering over a star will display a tooltip with the feature's name and a brief description.
  • Clicking on a star will zoom into that section, creating a seamless transition effect.

• Animations:

  • Stars will twinkle and pulse gently to create a sense of liveliness.
  • The galaxy will rotate slowly, giving the impression of depth and immersion.

• Interactions:

  • Micro-interactions such as button hover effects, smooth scrolling, and animated transitions between pages.
  • Real-time transcription progress displayed as a glowing progress bar that fills up like a shooting star.
  • Selective re-run capability will be represented visually as a "refreshing star" animation when triggered.

This design will make the website instantly memorable and engaging, setting it apart from competitors.

7. Non-Functional Requirements

• Scalability: The system should handle up to 10,000 concurrent users.
• Performance: Transcriptions should be processed within 5 seconds for a 1-minute audio file.
• Security: User data and transcriptions must be encrypted in transit and at rest.
• Availability: The system should maintain 99.9% uptime.
• Localization: Support for at least 10 languages, including Hindi and English.

8. Tech Stack

Frontend

• React for Web

Backend

• Node.js
• Express.js

Database

• MongoDB

AI Models

• GPT 5.4 for user-friendly transcription responses.

AI Tools

• Langchain for transcription workflow orchestration.

Local Orchestration

• Docker
• docker-compose

Server-Side Orchestration

• Kubernetes

9. Assumptions and Constraints

• The system will primarily target users in India (IN), with support for IST (Indian Standard Time).
• Users will have access to stable internet connections for uploading audio files.
• The system will not support live audio transcription in the initial release.
• The database will be hosted on a cloud platform for scalability.
• Selective re-run capability will only be available for completed transcriptions.

10. Glossary

• Transcription: The process of converting audio into text.
• Selective Re-run: A feature allowing users to manually trigger the regeneration of a transcription.
• MERN Stack: A technology stack comprising MongoDB, Express.js, React, and Node.js.
• Frontend: The user interface of the application.
• Backend: The server-side logic and API handling.
• AI Model: Artificial Intelligence algorithms used for transcription.
• Docker: A tool for containerizing applications.
• Kubernetes: A platform for managing containerized applications.

This updated SRD incorporates the selective re-run capability as requested, ensuring users have the flexibility to regenerate transcriptions manually. Let me know if there’s anything else you’d like to refine or add!