screenshot-to-code vs SecureAI Tools
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
screenshot-to-code
Convert screenshots and designs into working code
VS
SecureAI Tools
Private AI chat and document analysis you fully control
| Feature | screenshot-to-code | SecureAI Tools |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | AGPL-3.0 |
| Language | Python | TypeScript |
| Setup difficulty | Easy | Easy |
| Min. RAM | 1,024 MB | 2,048 MB |
| Deployment | docker, bare-metal | docker |
| GitHub stars | ★ 73,884 | ★ 1,726 |
| First released | 2023 | 2023 |
| Replaces | Vercel v0 | ChatGPT |
Why pick each one
Choose screenshot-to-code if…
- Released under the MIT license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Mature project with 73.9k GitHub stars
Choose SecureAI Tools if…
- Released under the AGPL-3.0 license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Active community (1.7k GitHub stars)
Frequently asked questions
Is screenshot-to-code or SecureAI Tools better?
Neither is universally better. screenshot-to-code has the larger community; both share a easy setup difficulty, so the decision comes down to features and licensing.
Are screenshot-to-code and SecureAI Tools free and open-source?
Yes. screenshot-to-code is licensed under MIT and SecureAI Tools under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run screenshot-to-code and SecureAI Tools with Docker?
screenshot-to-code: yes. SecureAI Tools: yes.