Image and video decision
OpenArt
A competent developer can recreate a useful image/video generation workflow with external model APIs in ~1 week, but OpenArt's proprietary Worlds and large model integrations are not reproducible without access to their exclusive models and partnerships.
Visit website↗Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.
What a replacement has to do
- Accept a text prompt or image upload, call external generative-model APIs to produce images/videos/audio, store outputs, let user preview and export results.
What it still won’t have
- Proprietary/exclusive spatial AI behind OpenArt Worlds
- Hundreds of integrated premium models and negotiated pricing
- Polished multi-feature editor (Director, MCP) and many UX shortcuts
- Team/enterprise features like shared credits and priority support
- Persistent 3D World generation and export in Gaussian Splat format
What remains hard
- Proprietary models
Powered by World Labs spatial AI, exclusively on OpenArt.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 8 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal OpenArt-like creator studio using React (frontend), Node/Express (API), Postgres (metadata), Redis (job queue), and S3 (assets). In scope: text-to-image and text-to-video generation via external APIs (configurable providers), file uploads, job queueing, per-user credit counting, preview player for outputs, and download/export. Out of scope: implementing a custom spatial AI/world generator, training models, team/enterprise billing, and advanced VFX toolset. Include robust error handling, retries for API calls, input validation, and automated tests for API endpoints and the job worker.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- Hard moats found in the evidence-3
- Evidence score60
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.
How scoring works →Cited sources · 4
Every page the run actually retrieved.
- official productOpenArt homepage
- official pricingOpenArt Pricing
- official docsOpenArt Worlds feature
- open sourceAnil-matcha/Open-Generative-AI
Integrity checks
What held up, and what did not.
