Great AI needs great training data. DeepLux's physics-based simulator reproduces a camera's noise response with unrivaled fidelity — so you can generate exactly the sensor data your AI needs.
F-number, exposure, ISO, and more.
Grayscale or color, indoor or outdoor.
See the synthesized data instantaneously.
Runs entirely in your browser — nothing to install, nothing uploaded. Choose a sensor, set the imaging conditions, and see the noise a real camera would produce.
Anywhere you need to know what a camera will really see — before the camera exists, or before you collect a single frame.
Generate paired clean/noisy data with exact ground truth at any exposure, ISO and pixel pitch — no darkroom, no capture rig.
Compare candidate sensors on your own scenes and choose on evidence, before committing to hardware.
Stress-test denoisers and ISP pipelines across a controlled noise sweep, with the clean reference always in hand.
See how f-number, integration time and pixel size trade against noise, so specs are set with the image in view.
Predict the SNR your product will actually reach at the light levels it has to survive.
Feed perception stacks the dark, noisy frames that break them — including corner cases the road rarely hands you.
Model photon-limited regimes — microscopy, endoscopy, astronomy — where noise, not optics, sets the limit.
A hands-on way to show camera physics: change one parameter, watch the image respond.
The free version is yours to use today. When you need a sensor library, batch generation, or a dataset built for you, we take it from there.
Library of sensor models, fixed-pattern noise, advanced modeling, and batch-mode data generation.
Request early access → Available📦We offer a customized data-generation service for customers. We'll generate the dataset for you — if you'd rather not do it yourself.
Talk to us → Available🤝We provide an expert consulting service to support your camera business — from designing customized models to building specialized simulators.
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DeepLux