Depth Estimation

About Depth Estimation

Last updated: June 2026

OptiPix Depth Estimation uses a monocular depth estimation AI model to generate depth maps from regular 2D photographs. The model analyzes visual cues like perspective, texture gradients, occlusion, and relative object sizes to estimate the distance of each pixel from the camera. The result is a grayscale depth map where lighter areas represent closer objects and darker areas represent farther objects. This is useful for 3D reconstruction, creating parallax effects, generating bokeh (background blur) effects, robotics research, and understanding scene geometry. The AI model runs entirely in your browser using ONNX Runtime WebAssembly, with no server uploads. The model downloads once (approximately 50 MB) and is cached for offline use. Results can be downloaded as grayscale depth map images or overlaid on the original photo. The tool handles various scene types including outdoor landscapes, indoor rooms, portraits, and street scenes.

How It Works

The tool uses a DPT (Dense Prediction Transformer) model running in your browser via ONNX Runtime. The transformer analyzes the entire image context to estimate per-pixel depth values, producing a dense depth map that captures the 3D structure of the scene from a single 2D image.

Use Cases

• •Generate depth maps for 3D photo effects
• •Create parallax scrolling effects for web design
• •Add synthetic bokeh (background blur) to photos
• •Analyze scene geometry for computer vision projects
• •Create depth-based visual effects for video editing

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If you find Depth Estimation useful, check out these related tools: Object Detection, Image Classifier, and Image Captioner. All tools run entirely in your browser with no uploads or signups required.