RAGFlow 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?
FeatureRAGFlowscreenshot-to-code
CategorySelf-Hosted AISelf-Hosted AI
LicenseApache-2.0MIT
LanguageGoPython
Setup difficultyMediumEasy
Min. RAM8,192 MB1,024 MB
Deploymentdocker, kubernetesdocker, bare-metal
GitHub stars★ 87,057★ 73,884
First released20242023
ReplacesNotebookLMVercel v0

Why pick each one

Choose RAGFlow if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 87.1k GitHub stars
RAGFlow 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 RAGFlow or screenshot-to-code better?

Neither is universally better. RAGFlow has the larger community, while screenshot-to-code is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.

Are RAGFlow and screenshot-to-code free and open-source?

Yes. RAGFlow is licensed under Apache-2.0 and screenshot-to-code under MIT. Both can be self-hosted at no software cost.

Can I run RAGFlow and screenshot-to-code with Docker?

RAGFlow: yes. screenshot-to-code: yes.

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