This content originally appeared on DEV Community and was authored by Porus
****🚀 OmniVid Lite — Text-to-Video, Without the Complexity
Video creation is painful.
You open CapCut or Premiere…
drag timelines… adjust timing… export… fix something… export again.
It feels outdated — especially when LLMs can already generate text, code, and images from a single prompt.
So I built OmniVid Lite — a lightweight, fast, developer-friendly way to generate simple AI-powered videos using nothing but text instructions.
🎯 The Goal
Not another "all-in-one AI video editor."
Just a clean minimal workflow:
Text prompt ➝ API ➝ Video
No GPU-heavy diffusion models.
Instead, OmniVid Lite focuses on:
05–30 sec explanatory videos
Subtitles + narration
Basic scene transitions
Simple assets (text, shapes, images)
Think:
"Explain Kubernetes in 20 seconds" → Auto-generated animation.
🛠️ Tech Stack
Backend: FastAPI
Frontend: React
Video Rendering: Python + Manim (for animation logic)
Model: LLM (prompt → animation config)
Auth: API key based
I wanted a system that a normal developer can deploy, extend, and hack — without depending on closed SaaS APIs.
🧩 Core Architecture
User Prompt
↓
LLM Prompt Parser (Python)
↓
Scene Config (JSON)
↓
Renderer (Manim)
↓
Final .mp4 Output
The LLM doesn’t generate raw video — that would be slow and unstable.
Instead, it generates a structured scene description, like:
{
"duration": 8,
"scenes": [
{
"type": "text",
"content": "What is Blockchain?",
"animation": "fade_in"
}
]
}
This config is deterministic and editable.
That makes OmniVid Lite programmable and predictable, unlike "random AI video generators."
🧪 Example Prompt
Create a 10-second explanatory video about how DNS works.
Use subtitles, simple animations, and show request flow visually.
Output:
A short animated video showing:
browser → DNS resolver → name server → IP response.
No manual editing. No timeline.
📦 Current Features
Text-to-video via /api/v1/render
Simple Manim-based animations
Subtitles
React UI with prompt builder
API key auth
Async background rendering
🧭 What’s Next?
Voice-over generation
Image → animated explainer
Template library
Drag-and-drop scene editor
Blender-based advanced export mode
Not promising hype — just building.
🔗 Repo
https://github.com/Abhishek-mule/omnivid-lite.git
💡 Final Thought
AI won’t replace video editors.
But tools like OmniVid Lite will replace repetitive, low-creativity editing — so humans can focus on storytelling, not timeline scrubbing.
If you build videos, teach online, or work on developer tooling — there’s a lot to explore here.
This content originally appeared on DEV Community and was authored by Porus
Porus | Sciencx (2025-11-28T09:33:10+00:00) I Was Tired of Manual Video Editing — So I Built OmniVid Lite. Retrieved from https://www.scien.cx/2025/11/28/i-was-tired-of-manual-video-editing-so-i-built-omnivid-lite/
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