Depthmap Converter

Upload a photo and get a grayscale depth map where pixel brightness encodes distance from the camera. Use the output as a displacement map, height map, or blur mask in your 3D or photo editing workflow.

Drop your photo here or browse

JPG, PNG, WebP (max 20MB)

Generating depth map...

AI is analyzing spatial depth in your photo

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How It Works

Upload any photo with depth variation
AI analyzes spatial relationships and generates a depth map
Download your depth map image

Tips

Photos with clear foreground and background separation work best
Landscape and architectural photos produce excellent depth maps
Portraits with blurred backgrounds create dramatic depth contrast
Use depth maps as displacement maps in 3D software or Photoshop

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Why Use Depthmap Converter

Monocular Depth Estimation

The model infers depth from a single 2D image by reading perspective cues, occlusion, and relative scale. No stereo camera or depth sensor required.

Smooth Gradient Output

Depth transitions are gradual rather than stepped, which makes the map suitable for displacement and blur operations that require continuous tone across depth layers.

Broad Subject Compatibility

Landscapes, interiors, portraits, product shots, and architectural photos all produce useful depth maps. Subjects with natural depth variation give the most detailed results.

PNG Output, No Setup

Upload a JPG, PNG, or WebP and receive a PNG depth map. There are no parameters to configure. The output PNG plugs directly into Blender, Unity, Photoshop, or Unreal as a map asset.

Perfect For

3D Modeling VFX & Compositing Photo Editing Game Development AR/VR Content Architecture

Powered by AI Depth Estimation

Diffusion-Based Depth Estimation from Single Images

Depthmap Converter uses a diffusion model fine-tuned for monocular depth estimation. Unlike classical stereo methods, it estimates depth from a single image by reading visual cues that the human visual system also relies on: perspective convergence, occlusion order, relative object size, texture gradient, and atmospheric haze at distance.

The output is a standard grayscale PNG where white encodes the nearest depth and black encodes the farthest. This convention matches the format expected by displacement maps in Blender, height maps in game engines, and depth-of-field masks in Photoshop. The depth values are relative to the scene in the photo rather than metric distances in meters.

Frequently Asked Questions

A depth map is a grayscale image where each pixel's brightness encodes how far that point in the scene is from the camera. White is nearest, black is farthest. You can use it as a displacement map to add surface geometry in 3D software, as a blur mask to simulate depth of field in Photoshop, or as a height map to drive parallax scrolling effects.

Photos with clear foreground-background separation give the model the most depth cues to work with. Landscapes with a near subject and distant background, interior shots with furniture at varying distances, and portraits with shallow depth of field all produce well-defined maps. Flat subjects like document scans have almost no depth information to recover.

Load the depth map as a channel or smart filter mask. Apply it to a Lens Blur filter to simulate camera focus falloff, or use it with Displace to add a subtle bas-relief effect. The file is a plain grayscale PNG so it opens without any special import steps.

JPG, PNG, and WebP files up to MB. The output depth map is delivered as a PNG file.

It is relative. The depth values indicate which parts of the scene are closer or farther from the camera compared to each other, not actual distances in meters or feet. For VFX, parallax effects, and displacement maps, relative depth is exactly what you need. For applications requiring metric precision like robotics or surveying, a depth sensor is the right tool.

Most depth maps are ready in 10-20 seconds. The tool runs faster than most other Studio generators because the output is a single image rather than a video or a high-iteration diffusion process.

Yes. The output is a standard grayscale PNG which all three engines accept as a height or displacement map. In Blender import it into a Displacement node in the material shader. In Unity assign it as a height map in the terrain settings. In Unreal use it as a heightmap input in the Landscape system.

It will produce output, but the quality depends on how many depth cues the artwork contains. An illustration with perspective, cast shadows, and overlapping objects gives the model enough information to estimate reasonable depth. A completely flat diagram or icon with no depth cues will produce a mostly uniform map with little useful variation.

The output is grayscale. White pixels represent the nearest surfaces and black pixels the farthest. This format is what 3D tools and Photoshop expect for displacement and height map inputs. If you need a color-coded visualization for presentation purposes, you can apply a false-color gradient in any image editor after downloading.

Yes. Tools like After Effects, Runway, and various JavaScript parallax libraries accept a depth map alongside the original photo to produce a layered parallax animation. The depth map tells the tool how much to shift each layer during the simulated camera movement, turning a flat photograph into a scene with apparent depth.