AI Image Depth Estimation

Generate depth maps from images. Visually distinguish near and far objects to represent 3D depth perception.

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Drag or click to upload image

JPG, PNG, WebP

How to Use

1. Upload Image

Click the upload area or drag an image to upload. Supports JPG, PNG, and WebP formats.

2. Adjust Settings

Adjust color map, sensitivity, and blur amount. Higher sensitivity emphasizes depth differences, higher blur produces smoother results.

3. Run Estimation

Click "Start Depth Estimation" to begin analysis. Brightness, color, and edge information are combined to estimate depth.

4. Review and Download

Compare original and depth map side by side. Download as PNG if satisfied.

Frequently Asked Questions

What is a depth map?

A depth map represents how far each pixel in an image is from the camera. Bright areas indicate closer objects, while dark areas represent distant objects.

What algorithm is used?

It combines luminance analysis, Sobel edge detection, color saturation analysis, and Gaussian blur to estimate depth. Processed in real-time in the browser without deep learning models.

What types of images work best?

Landscape photos, indoor scenes, and portraits with clear foreground and background separation produce the best results. Solid backgrounds or abstract patterns may yield less accurate results.

What are the differences between color maps?

Grayscale shows basic black-and-white depth. Rainbow uses spectrum colors. Thermal mimics thermal camera style. Ocean uses blue-green tones to represent depth.

Is my privacy safe?

Yes, all processing is done locally in your browser and images are never uploaded to any server. Works even without internet connection.

Notice

  • This tool uses heuristic-based estimation and may be less accurate than deep learning models.
  • Complex scenes or repetitive textures may result in inaccurate depth estimation.
  • All processing is done locally in your browser and images are not uploaded to any server.

This calculator is provided for informational purposes only.

Results are estimates and may differ from actual amounts.

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