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For privacy-first teams

Privacy-First AI Workflow Builder

Cloud AI tools send your prompts, files, and outputs through someone else's server by default. NodeTool Studio runs entirely on your own hardware with open-weight models — nothing leaves your machine unless you explicitly wire in a cloud provider.

  • Local models by default — no data ever leaves your machine
  • No account, no telemetry, no server NodeTool controls
  • Cloud providers are opt-in per node, on your own keys

The workflow behind it

Workflow Editor
Note
Image Input
Gaussian Blur
Image
Brightness Contrast
Image
HSB
Image
Unsharp Mask
Image
Output

One canvas
for the whole craft

Image, video, audio, and text on a single visual canvas, with the editing tools you already rely on sitting right next to the models. You direct the whole piece instead of generating parts of it.

Workflow Editor
Node workflow turning a campaign brief and product photo into a generated product video

Edit where you generate

Mask, retouch, extend, relight, upscale, layer, and composite. The editing tools you reach for live on the same canvas as the models.

Watch every step render

Results appear as each step finishes. Inspect any frame, swap a model, and re-run from that point on.

Your keys, provider prices

Bring your own keys for FAL, KIE, OpenAI, Anthropic, Gemini, Replicate, and the rest. The bill comes from the provider, not from us.

Image, video, audio, text

Flux, Seedance, Wan, ControlNet, Whisper, ElevenLabs, and Suno, all on one canvas under their real names. You always know which model you are running.

Frequently asked questions

Does any of my data leave my machine?

Not with local models. NodeTool Studio runs open-weight models on your own hardware, and assets, workflows, and keys stay on disk. Data only leaves when you deliberately wire a node to a cloud provider.

How is this different from cloud-only AI tools?

Most AI canvases route every prompt and file through their own servers before you see a result. NodeTool has no server in that path by default — the graph executes locally, and a cloud call happens only where you add one.

Can I mix local and cloud models in one workflow?

Yes. Run the sensitive steps on local models and send only the parts you choose to a cloud provider, node by node, in the same graph.

Build it on your own machine

Free, open source, and yours to run. Download Studio, open the template, and make it yours with your own keys.