SHSelfHostIndex

Local Deep Research vs screenshot-to-code

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?
LO Local Deep Research AI-powered deep research tool with multi-source search (arXiv, PubMed, VS SC screenshot-to-code Convert screenshots and designs into working code
FeatureLocal Deep Researchscreenshot-to-code
CategorySelf-Hosted AISelf-Hosted AI
LicenseMITMIT
LanguagePythonPython
Setup difficultyMediumEasy
Min. RAM512 MB1,024 MB
Deploymentdockerdocker, bare-metal
GitHub stars★ 8,861★ 73,884
First released20262023
Replaces—Vercel v0

Why pick each one

Choose Local Deep Research if…

  • Released under the MIT license
  • First-class Docker support for quick deployment
  • Mature project with 8.9k GitHub stars
  • Written in Python
Local Deep Research details

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
screenshot-to-code details

Frequently asked questions

Is Local Deep Research or screenshot-to-code better?

screenshot-to-code is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Local Deep Research if its specific feature set fits your needs better.

Are Local Deep Research and screenshot-to-code free and open-source?

Yes. Local Deep Research is licensed under MIT and screenshot-to-code under MIT. Both can be self-hosted at no software cost.

Can I run Local Deep Research and screenshot-to-code with Docker?

Local Deep Research: yes. screenshot-to-code: yes.

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