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Jaaz: Source-Available Canvas for AI Images and Video

Jaaz connects an AI creative canvas to local models and cloud APIs. Explore setup options and its custom license restrictions on modification and team use.

Published Sep 15, 2026 · 3 min read
Jaaz local-first open-source AI image and video canvas
TL;DR: Jaaz is a source-available creative canvas for AI images and video. It connects to local models or paid cloud APIs, but its Community License restricts modification, redistribution and team deployment.

Jaaz is a desktop creative app built around an infinite canvas and a chat agent. You sketch, arrange and describe; the agent calls image and video models to fill in the rest. Its maintainers position it as an alternative to Canva and Manus that can connect to local models or paid APIs. The published Community License restricts modification and redistribution, so The Signal describes this repository as source-available rather than unrestricted open-source software.

Repository11cafe/jaaz
Maintainer11cafe
Primary languageTypeScript (Python backend)
GitHub stars6,638 (as of 15 September 2026)
Last push2 March 2026
License statusCustom Jaaz Community / Commercial dual license

What it does

The README describes four main pieces:

  • One-prompt image and video generation, routed to models the README names as GPT-4o, Midjourney, Veo 3, Kling and Seedance, with automatic prompt optimisation and multi-turn refinement.
  • “Magic Canvas” and “Magic Video”: sketch, point with arrows or annotate a frame, and the agent interprets the layout instead of a written prompt.
  • An infinite canvas for storyboarding, with linked layouts and a media library.
  • An agent that inserts objects, transfers styles and, per the README, works with both local ComfyUI and cloud models, including a fully offline or hybrid setup using Ollama.

Who it’s for

  • Designers and content creators who prefer arranging things visually to writing long prompts.
  • People who already run ComfyUI or Ollama locally and want a friendlier front end on top.

Getting started

Desktop builds for Windows and macOS are distributed from the project’s GitHub releases and jaaz.app. The README says cloud API models are accessed by logging in on the app’s homepage with a paid plan. For Linux or local builds, it documents a manual install that needs Python 3.12 or newer: build the React front end with npm install --force and npx vite build, then install the server requirements and run python main.py. The README does not state hardware requirements; those depend on which local models you connect.

License status

Verified 17 October 2026: the Jaaz licensing policy uses custom Community and Commercial licenses. The Community terms allow individuals to use standard functions and use generated content in commercial projects. Organizations are limited to unmodified evaluation or non-commercial use. Code changes, derivative products, redistribution and organizational multi-user deployment require a Commercial License. Generated-content permissions do not grant equivalent rights over the application code.

Limitations and open questions

  • Many of the headline models (GPT-4o, Midjourney, Veo 3, Kling) are paid cloud services, so “local-first” applies only if you connect local models yourself.
  • The manual-install instructions clone a repository named 11cafe/localart rather than 11cafe/jaaz; worth checking before you follow them.
  • The last push was in March 2026, and the enterprise promotion in the README carries a 2025 deadline, so parts of the README may be out of date.
  • We have not installed or tested Jaaz; features described here come from its README.

Sources

Related: more repo profiles ยท ComfyUI-LTXVideo, for the ComfyUI side of video generation.

This profile was drafted with AI assistance from the project’s public repository and reviewed by The Signal’s editors before publication. See our AI Disclosure.

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