Arui.AI is a depth map generator that creates accurate per-pixel depth data from any image in under 5 seconds. Upload a photo to produce depth maps for 3D modeling, background separation, bokeh rendering, and AR applications — all from a single AI depth map generator.
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From 3D reconstruction to bokeh effects — generate precise depth data from one image.
The ai depth map generator converts a single 2D photograph into a pixel-accurate depth map in an average of 4.2 seconds. Users report saving approximately 90% of their depth estimation time compared to manually creating depth masks in Photoshop or Nuke, where producing a usable depth map for one image takes 20 to 45 minutes of hand-painting and refinement.
Every depth map is rendered at up to 4096 by 4096 pixels with full 16-bit grayscale depth precision, delivering 65,536 distinct depth levels per pixel. The 3d depth map generator maintains sub-pixel accuracy across the entire depth range, a level of detail that traditional stereo-matching methods achieve only with multi-camera rigs costing upwards of 2,000 dollars.
The image depth map generator requires only one input photo to infer full scene geometry using transformer-based monocular depth estimation. The model analyzes spatial context across a 384 by 384 attention window to predict relative depth for every pixel, replacing the 5 to 10 minutes per frame typically spent on manual depth grading in visual effects pipelines.
Create depth map from image data that instantly separates foreground subjects from backgrounds with clean edge transitions. The ai depth map generator produces alpha-ready depth masks in under 5 seconds, enabling realistic bokeh blur and background removal that normally requires 10 to 15 minutes of manual masking per image in professional photo editing software.
Convert any depth map into an editable 3D mesh using the 3d depth map generator built-in displacement mapping. Export depth data as GLB meshes for game engines, PLY point clouds for 3D analysis, or OBJ files with vertex displacement, all generated in under 8 seconds and replacing the 30 to 60 minutes typically needed for manual depth-to-mesh conversion in Blender or MeshLab.
Upload up to 50 images at once and the depth map generator ai processes each frame in sequence with an average of 4.2 seconds per image. A batch of 50 depth maps that would take 15 to 25 hours of manual work can be completed in approximately 4 minutes, delivering consistent depth estimation across every frame for animation and VFX pipelines.
See the difference in speed, precision, and output flexibility.
| Capability | Arui.AI | Traditional Depth Methods |
|---|---|---|
| Average time per depth map | 4.2 seconds from image upload to exportable depth map | 20 to 45 minutes of manual depth painting per image |
| Depth precision | 16-bit grayscale with 65,536 depth levels per pixel at up to 4096 pixels | 8-bit manual masks with 256 levels requiring continuous repaints |
| Input requirement | Single 2D photo, monocular depth estimation from one image | Stereo camera rigs or LiDAR sensors costing 2,000 to 5,000 dollars |
| Export formats per depth map | PNG, EXR, GLB, PLY, and OBJ in one download | Each format exported separately across multiple software tools |
| Batch processing capability | Up to 50 images per batch at 4.2 seconds average per frame | Manual frame-by-frame processing with no batch automation |
Average time per depth map
Depth precision
Input requirement
Export formats per depth map
Batch processing capability
From 3D reconstruction to photography, see how teams create depth data at scale.
Game developers use the 3d depth map generator to convert 2D environment photos into displacement-mapped 3D meshes for Unity and Unreal Engine. A complete depth-based mesh that once required 30 to 60 minutes of manual modeling per asset can now be generated and exported as a GLB file in under 8 seconds.
Photographers use the create depth map tool to produce professional bokeh blur effects from standard single-lens photos. A depth-based background blur that typically takes 10 to 15 minutes of manual masking per portrait can be generated in under 5 seconds with natural edge transitions around hair and clothing.
AR developers use the image depth map generator to extract per-pixel depth data from real-world photos for scene occlusion and virtual object placement. A depth map for AR occlusion layers that normally requires depth-sensing hardware can be generated from a standard photo in an average of 4.2 seconds.
Content creators use the ai depth map generator to separate subjects from backgrounds with depth-based precision. A clean depth mask for background removal that usually takes 5 to 10 minutes of manual lasso and refine-edge work can be produced in under 5 seconds, handling complex edges like fur and foliage.
Three steps from photo to exportable depth data.
Select any photograph, render, or screenshot to upload. The create depth map from image tool accepts JPG, PNG, and WebP formats at any resolution up to 4096 by 4096 pixels. No camera metadata or depth-sensing hardware is required, a single standard photo is all the input needed.
Click Generate and the ai depth map generator analyzes the image using transformer-based monocular depth estimation. A full 16-bit depth map with 65,536 depth levels is produced in an average of 4.2 seconds, ready for review before export.
Review the generated depth map, then download in your preferred format. The depth map generator ai exports PNG for image editing, EXR for VFX compositing, and GLB or PLY for 3D workflows, all from a single download ready to apply in Blender, Unreal Engine, Nuke, or After Effects.
Direct answers about AI depth map generation — no jargon.
Upload any image to create a pixel-accurate depth map in seconds.
Create depth data from a single image.
Other AI-powered tools from Arui.AI that pair well with depth mapping.
Remove backgrounds from any image instantly with AI-powered edge detection and depth-aware masking.
Convert a single photograph into a textured 3D model ready for game engines and 3D printing.
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Upload a photo and let AI reimagine it in a completely new visual style — from realistic to abstract.
