System Requirements Document (SRD)

Project Name: hyper-hey

1. Introduction

Welcome to the System Requirements Document (SRD) for hyper-hey, a cutting-edge platform designed to revolutionize video dubbing by offering perfect lip sync and natural human Telugu dubbing capabilities. This project, envisioned by Dathu Dathuu from India, aims to empower content creators, educators, and marketers to seamlessly translate their videos into Telugu, one of the most widely spoken regional languages in India.

The hyper-hey platform will serve as a HeyGen clone, incorporating advanced AI technologies to deliver hyper-realistic video translations with unmatched precision and accessibility.

2. System Overview

The hyper-hey platform will provide users with tools to dub videos into Telugu with perfect lip sync and natural human-like voiceovers. It will leverage state-of-the-art AI models for lip synchronization and voice generation, ensuring that the dubbed videos feel authentic and engaging.

Key features include:

• Automatic lip sync adjustment for seamless dubbing.
• AI-generated Telugu voiceovers that sound natural and human-like.
• Support for pre-recorded videos and real-time dubbing.
• A user-friendly interface tailored for creators, educators, and marketers.

The system will be optimized for accessibility, ensuring that users across India can easily utilize its features without technical barriers.

3. Functional Requirements

Story Points:

• As a User, I should be able to upload pre-recorded videos for Telugu dubbing.
• As a User, I should be able to generate natural human-like Telugu voiceovers from text input.
• As a User, I should be able to achieve perfect lip sync between the dubbed audio and video.
• As a User, I should be able to preview the dubbed video before finalizing it.
• As a User, I should be able to download the dubbed video in multiple formats (e.g., MP4, MOV).
• As a User, I should be able to adjust the tone and pitch of the AI-generated voice.
• As a User, I should be able to select from multiple Telugu voice profiles (e.g., male, female, neutral).
• As an Admin, I should be able to monitor system usage and manage user accounts.
• As an Admin, I should be able to update AI models and voice profiles periodically.

4. User Personas

1. Content Creator

• Description: Individuals creating videos for entertainment, education, or marketing purposes.
• Needs: Seamless dubbing tools to reach Telugu-speaking audiences.
• Goals: Expand audience reach and improve engagement through localized content.

2. Educator

• Description: Teachers and trainers creating educational videos for Telugu-speaking students.
• Needs: Accurate dubbing with natural voiceovers for effective communication.
• Goals: Enhance learning experiences by providing content in the native language.

3. Marketer

• Description: Professionals creating promotional videos for products or services targeting Telugu-speaking regions.
• Needs: High-quality dubbing with perfect lip sync to maintain brand credibility.
• Goals: Increase product visibility and sales through localized marketing.

4. Admin

• Description: System administrators managing the platform's backend operations.
• Needs: Tools to monitor usage, update AI models, and ensure system stability.
• Goals: Maintain platform efficiency and user satisfaction.

5. Visuals Colors and Theme

Color Palette:

• Background: #F5F5F5 (Soft Pearl White)
• Surface: #E0E7FF (Gentle Lavender Blue)
• Text: #1A1A1A (Deep Charcoal Black)
• Accent: #FF6F61 (Vibrant Coral Red)
• Muted Tones: #B0BEC5 (Calm Steel Gray)

Theme:

The visual theme will reflect a modern, approachable aesthetic with a focus on simplicity and clarity. The colors are chosen to evoke creativity, professionalism, and trust, aligning with the platform's purpose of empowering users to create high-quality dubbed videos.

6. Signature Design Concept

Concept: Interactive Lip Sync Studio

The homepage of hyper-hey will feature an Interactive Lip Sync Studio that immediately captivates users.

Key Features:

• Dynamic Video Preview: A central interactive video player where users can upload their video and see real-time lip sync adjustments.
• AI Voice Selector: A carousel-style interface displaying various Telugu voice profiles (male, female, neutral). Users can click on a profile to hear a sample and apply it to their video.
• Lip Sync Timeline: A visual timeline below the video player showing the synchronization process. Users can drag and adjust markers to fine-tune the lip sync manually.
• Animated Background: A subtle animation of sound waves and Telugu script flowing across the screen, reinforcing the platform's focus on language and audio.
• Micro-Interactions: Buttons and sliders with smooth transitions and hover effects, making the interface feel alive and responsive.

This design will make the homepage not just a landing page but an immersive experience that showcases the platform's capabilities in action.

7. Non-Functional Requirements

• Performance: The system should process video dubbing within 5 minutes for videos up to 10 minutes long.
• Scalability: The platform should support up to 10,000 concurrent users.
• Reliability: Ensure 99.9% uptime for uninterrupted access.
• Security: Implement robust encryption for user data and video files.
• Localization: Provide Telugu language support with accurate grammar and pronunciation.

8. Tech Stack

Frontend:

• React for Web
• React Native for Mobile App

Backend:

• Python
• FastAPI

Database:

• MySQL or MariaDB (preferred for RDBMS)
• MongoDB (for NoSQL needs)
• WeaviateDB (for VectorDB requirements)

AI Models:

• GPT 5.4 for user-friendly responses
• Claude 4.6 Opas for academic or coding work
• Gemini 3.1 Pro for friendly responses
• Google Nano Banana for image generation

AI Tools:

• Litellm for LLM Routing
• Langchain

Orchestration:

• Docker and docker-compose for local orchestration
• Kubernetes for server-side orchestration

9. Assumptions and Constraints

Assumptions:

• Users will primarily upload pre-recorded videos for dubbing.
• The platform will initially focus on Telugu language support, with potential expansion to other languages in the future.
• Internet connectivity is required for all functionalities.

Constraints:

• Real-time dubbing may require high computational resources and could be limited to premium users.
• The system's performance may vary based on video length and resolution.

10. Glossary

• Lip Sync: The process of matching audio to the movements of a speaker's lips in a video.
• AI Voice Profiles: Pre-trained voice models that generate human-like speech in Telugu.
• VectorDB: A database optimized for storing and querying vector embeddings, often used in AI applications.
• LLM Routing: The process of directing queries to the most appropriate large language model based on context.

This document outlines the updated requirements for hyper-hey, ensuring that the platform delivers a seamless and innovative experience for its users.