System Requirements Document (SRD)

Project Name: infini-editor

1. Introduction

The infini-editor is a groundbreaking AI-powered video editing platform designed to redefine the boundaries of creativity and automation. Conceptualized by Karthicka from India, this platform aims to empower creators and professionals with cutting-edge tools that simplify video editing while enhancing storytelling, audience engagement, and production quality.

This document outlines the system requirements for infini-editor, detailing its functional and non-functional specifications, user personas, design concepts, and technical stack. The goal is to create the most advanced AI video editing platform that feels intuitive, futuristic, and collaborative.

2. System Overview

The infini-editor is envisioned as a next-generation video editing tool that combines AI-driven automation, generative video capabilities, storytelling intelligence, and audience prediction. It caters to individual creators, agencies, and studios, enabling them to produce high-quality content for platforms like TikTok, Instagram Reels, YouTube Shorts, and cinematic trailers.

Key features include:

• Automatic Editing: AI-powered tools for cutting, color grading, captioning, and transitions.
• Generative Video: Tools to create missing visuals, extend scenes, and rewrite content.
• Storytelling Intelligence: Features like Emotion Timeline, Viral Score Predictor, and AI Director Mode.
• Audience Prediction: Tools to simulate viewer reactions and optimize content for engagement.
• Prompt-Based Editing: A command-driven interface for intuitive creative control.

The platform will feature a futuristic yet simple UI, ensuring accessibility for beginners while offering advanced workflows for professionals.

3. Functional Requirements

Core Editing Features:

• As a User, I should be able to auto-cut boring parts, pauses, mistakes, silence, and repeated lines.
• As a User, I should be able to generate viral hooks automatically from the video content.
• As a User, I should be able to add cinematic transitions, beat-synced cuts, zooms, speed ramps, and motion blur.
• As a User, I should be able to create dynamic captions with emotion-based styling, keyword highlights, and motion tracking.
• As a User, I should be able to auto color grade the video based on mood: cinematic, luxury, cyberpunk, documentary, soft vlog, or viral short.
• As a User, I should be able to add AI-selected music, sound effects, ambience, and voice cleanup.
• As a User, I should be able to convert one long video into multiple short-form clips for TikTok, Reels, Shorts, and ads.

Next-Generation Features:

• As a User, I should be able to use AI Director Mode to choose the best storytelling structure automatically.
• As a User, I should be able to detect emotional moments like excitement, sadness, surprise, tension, and humor using the Emotion Timeline.
• As a User, I should be able to predict the viral score of each scene to optimize viewer engagement.
• As a User, I should be able to auto-generate B-roll visuals, cutaways, and cinematic scenes from text.
• As a User, I should be able to rewrite scenes into dramatic, funny, luxury, documentary, or futuristic versions.
• As a User, I should be able to edit the timeline by voice commands like “make this more cinematic” or “turn this into a viral reel.”
• As a User, I should be able to use Memory Editing to apply my editing style across projects.
• As a User, I should be able to simulate audience reactions second by second using the Audience Simulator.
• As a User, I should be able to generate multiple unique edits from the same footage using Infinite Variant Generator.
• As a User, I should be able to create AI thumbnails, titles, hooks, captions, and posting descriptions using the Thumbnail and Title Lab.
• As a User, I should be able to replace locations, outfits, weather, lighting, or background objects using Reality Remix.
• As a User, I should be able to generate a shot list for missing visuals using the Smart Reshoot Assistant.
• As a User, I should be able to collaborate live with AI agents for captions, music, pacing, color, effects, and storytelling.
• As a User, I should be able to apply brand colors, fonts, tone, intro/outro, watermark, and content style using One-Click Brand Mode.
• As a User, I should be able to preview multiple edited versions side by side using Multiverse Preview.
• As a User, I should be able to fix jump cuts, eye contact, framing, lighting mismatch, audio mismatch, and visual continuity using AI Continuity Fixer.
• As a User, I should be able to extend clips beyond their original length using Generative Scene Extension.
• As a User, I should be able to edit based on the video’s purpose, audience, platform, mood, and conversion goal using Deep Context Editor.

4. User Personas

Creator

• Description: Individual content creators on platforms like TikTok, YouTube, and Instagram.
• Goals: Simplify editing, optimize content for engagement, and create viral videos.

Professional Editor

• Description: Video editors working in agencies or studios.
• Goals: Enhance storytelling, streamline workflows, and produce high-quality cinematic content.

Brand Manager

• Description: Marketing professionals managing brand video campaigns.
• Goals: Ensure brand consistency, optimize content for conversion, and create polished promotional videos.

5. Visuals Colors and Theme

Color Palette:

• primary: #1A73E8 (Deep Indigo Blue)
• primary_light: #4D9EF5 (Sky Blue Tint)
• secondary: #FF6F61 (Coral Red)
• accent: #FFD700 (Vibrant Gold)
• highlight: #FFA500 (Warm Amber)
• bg: #F4F4F9 (Soft Off-White)
• surface: rgba(26, 115, 232, 0.1) (Light Indigo Blue Tint)
• text: #212121 (Charcoal Black)
• text_muted: #757575 (Muted Gray)
• border: rgba(33, 33, 33, 0.2) (Subtle Charcoal Border)

6. Signature Design Concept

Concept: Interactive Emotion Timeline

The homepage features an Emotion Timeline where users can visually explore emotional peaks and valleys in sample video clips. The timeline is interactive:

• Hovering over a peak shows the detected emotion (e.g., excitement, sadness) and suggests edits.
• Clicking a segment opens a detailed view with AI-generated recommendations for cuts, transitions, and enhancements.
• Dragging the timeline adjusts the emotional pacing, with real-time previews in the video player.

Animations include smooth transitions between emotional states, glowing highlights on hover, and dynamic color shifts based on mood. Libraries like gsap for scroll-triggered animations and framer-motion for interactive elements will be used.

7. Interaction Model & Motion Direction

Landing Page Interaction Model: Parallax

The landing page will feature layered depth via scroll, with decorative elements like glowing emotion markers, floating video clips, and dynamic AI-generated visuals. Content scrolls naturally, while interactive layers move at different speeds to create a sense of immersion.

Internal Pages Interaction Model: Animated

Moderate scroll-triggered reveals, hover transitions, and spring physics will be applied to the timeline editor, scene cards, and AI agent panels.

8. Non-Functional Requirements

• Performance: The platform must process video edits in under 5 seconds per feature.
• Scalability: Support up to 1 million concurrent users.
• Security: Ensure secure data handling with encryption for uploaded videos and user data.
• Localization: Support multiple languages, starting with English and Hindi.
• Accessibility: Ensure WCAG 2.1 compliance for visually impaired users.

9. Tech Stack

Frontend

• React for Web

Backend

• Python
• FastAPI

Database

• MySQL (RDBMS)
• MongoDB (NoSQL)

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
• Kubernetes

10. Assumptions and Constraints

• Users will upload videos in standard formats like MP4, MOV, and AVI.
• The platform will initially target desktop users, with mobile support planned for future releases.
• AI models will require GPU acceleration for optimal performance.

11. Glossary

• AI Director Mode: A feature that automatically structures video content for storytelling.
• Emotion Timeline: A visual representation of emotional moments in a video.
• Viral Score Predictor: A tool that estimates viewer engagement for each scene.
• **Prompt-Based Timeline