AI video editing is no longer reserved for enterprise tools or desktop software. With OpenAI’s Sora 2 and a modern Laravel + Vue.js stack, you can build a fully interactive, browser-based video editor that feels like magic — and runs like butter.
In this post, I’ll walk you through how I built a prototype AI video editor using Sora 2’s generative capabilities, Laravel 12 for backend orchestration, and Vue 3 for a reactive, creator-friendly UI.
🚀 Why Sora 2?
Sora 2 is OpenAI’s next-gen text-to-video engine — a creative powerhouse that lets you generate short clips from natural language prompts. It supports:
- 🎥 Scene generation from text
- ✂️ Smart trimming and transitions
- 🗣️ Voice-to-subtitle alignment
- 🧠 Character consistency across shots
- 📈 Controlled camera movement and pacing
It’s built for developers who want to embed AI into storytelling workflows — without needing a film degree.
“Sora 2 turns your ideas into short films in seconds. Just describe a scene, and it builds it for you.” — Sora 2 Wiki1
🧱 Tech Stack Overview
| Layer | Tool | Role |
|---|---|---|
| Backend | Laravel 12 | API orchestration, job queue |
| Frontend | Vue 3 + Vite | Interactive UI |
| AI Engine | Sora 2 API | Video generation |
| Storage | S3 / Cloudflare R2 | Clip storage + CDN |
| Queue | Redis + Horizon | Async job handling |
🧩 Key Features I Built
1. 🎞️ Prompt-to-Clip Generator
Users type:
“A robot dancing on a neon-lit rooftop at night”
Laravel sends the prompt to Sora 2, queues the job, and Vue shows a progress bar. Once done, the clip is streamed from S3.
2. ✂️ Smart Trimming
Users can highlight timestamps and let Sora 2 auto-trim based on scene changes or audio cues.
3. 🗣️ Subtitle Sync
Voice-to-text alignment using Sora’s multimodal capabilities — perfect for creators and accessibility.
4. 🎨 Style Presets
Vue UI lets users choose “Cyberpunk,” “Studio Vlog,” or “Retro VHS” — passed as style modifiers in the prompt.
🔐 Laravel Backend Highlights
- Secure API calls with token rotation
- Retry logic for failed generations
- Rate limiting per user tier
- Webhook listener for Sora job completion
- Fallback logic using cached clips or placeholder scenes
⚡ Performance & Cost
| Metric | Result |
|---|---|
| Avg Gen Time | ~3–5 min per clip |
| Cost/Clip | ~$0.01–$0.05 (varies) |
| CDN Latency | ~200ms playback start |
| Queue Load | Offloaded to Redis |
🧠 Lessons Learned
- Use pre-validation to catch prompt errors early
- Add user feedback loop to improve prompt quality
- Cache popular prompts to reduce cost
- Consider tiered access for longer clips or HD exports
- Use Laravel Pulse to monitor job health and queue spikes
🛠️ Contributing & Feedback
Want to build your own version or contribute?
- Fork the repo (coming soon)
- Submit issues with prompt + output
- Join the Discord for promptcraft tips
- Star the Sora 2 docs: Sora 2 Wiki1
- Read the full guide: Skywork AI Blog2
🧵 Final Thoughts
Sora 2 isn’t just a video generator — it’s a storytelling engine. And when paired with Laravel and Vue.js, it becomes a powerful tool for creators, educators, marketers, and indie devs.
If you’re building SaaS tools or creator platforms in 2025, this stack is worth exploring.
Want the source code, a demo, or a carousel version of this blog? Drop a comment or DM — I’m happy to share and collaborate.
References (2)
1Sora 2 Wiki: Your Guide to OpenAI’s AI Video Generator. https://sora2.org/
2How to Generate High-Quality AI Videos with Sora 2: Complete Guide. https://skywork.ai/blog/how-to-use-sora-2-for-high-quality-ai-video-guide/