Depth Map Extractor - Magma1.5 - App Store
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Publisher Description
MAGMA turns photos and videos into detailed depth maps using powerful on-device AI models, including MoGe2, ZipDepth, Depth Anything, MiDaS and more. Process your media locally on your iPhone or iPad without uploading it to the cloud.
Import images and videos from your library, capture new content with the camera, and compare the original media with its depth representation. Apply color maps, gradients, and visual filters to make depth information easier to interpret and present.
Combine original images with depth data, preview the results, and export depth-aware images or videos for creative and technical workflows. MAGMA is built for developers, creators, filmmakers, photographers, and visual artists working with spatial media.
By using this app, you agree to Apple's standard Terms of Use (EULA):
https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Version History - New Depth Estimation models (MoGe2, ZipDepth y DepthAnything 3).
- Reduced model estimation time. 1.5 Sep 23 • Improved depth extraction from images and videos using built-in AI models. 1.4 Jan 9 • New color filters and custom gradients for enhanced depth map visualization.
• Improved depth extraction from images and videos using built-in AI models.
• Advanced depth data editing and composition with original media for preview or export with metadata.
• Export and save HEIC images with embedded depth data, or share simple renders without metadata.
• General performance improvements and smoother processing. 1.3 Jan 1 MiDaS_small and DepthAnythingV1 models have been added for depth map extraction. Now you can import images and videos from your device files and import videos up to 3 minutes long. 1.2 12/02/2024 Time inference for Depth-Anything model improved 1.1 08/30/2024 1.0 08/28/2024
About Depth Map Extractor - Magma
The company that develops Depth Map Extractor - Magma is Nelson Cruz. The latest version released by its developer is 1.5.
To install Depth Map Extractor - Magma on your iOS device, just click the green Continue To App button above to start the installation process. The app is listed on our website since 2026-10-14 and was downloaded 0 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded app with your antivirus. Your antivirus may detect the Depth Map Extractor - Magma as malware if the download link is broken.
How to install Depth Map Extractor - Magma on your iOS device:
- Click on the Continue To App button on our website. This will redirect you to the App Store.
- Once the Depth Map Extractor - Magma is shown in the iTunes listing of your iOS device, you can start its download and installation. Tap on the GET button to the right of the app to start downloading it.
- If you are not logged-in the iOS appstore app, you'll be prompted for your your Apple ID and/or password.
- After Depth Map Extractor - Magma is downloaded, you'll see an INSTALL button to the right. Tap on it to start the actual installation of the iOS app.
- Once installation is finished you can tap on the OPEN button to start it. Its icon will also be added to your device home screen.
Program Details
System requirements
Download information
Pricing
Version History
version 1.5
posted on 2026-10-14
Version History - New Depth Estimation models (MoGe2, ZipDepth y DepthAnything 3).
- Reduced model estimation time. 1.5 Sep 23 • Improved depth extraction from images and videos using built-in AI models. 1.4 Jan 9 • New color filters and custom gradients for enhanced depth map visualization.
• Improved depth extraction from images and videos using built-in AI models.
• Advanced depth data editing and composition with original media for preview or export with metadata.
• Export and save HEIC images with embedded depth data, or share simple renders without metadata.
• General performance improvements and smoother processing. 1.3 Jan 1 MiDaS_small and DepthAnythingV1 models have been added for depth map extraction. Now you can import images and videos from your device files and import videos up to 3 minutes long. 1.2 12/02/2024 Time inference for Depth-Anything model improved 1.1 08/30/2024 1.0 08/28/2024
version 1.5
posted on 2026-09-27
Version History - New Depth Estimation models (MoGe2, ZipDepth y DepthAnything 3).
- Reduced model estimation time. 1.5 3d ago • Improved depth extraction from images and videos using built-in AI models. 1.4 Jan 9 • New color filters and custom gradients for enhanced depth map visualization.
• Improved depth extraction from images and videos using built-in AI models.
• Advanced depth data editing and composition with original media for preview or export with metadata.
• Export and save HEIC images with embedded depth data, or share simple renders without metadata.
• General performance improvements and smoother processing. 1.3 Jan 1 MiDaS_small and DepthAnythingV1 models have been added for depth map extraction. Now you can import images and videos from your device files and import videos up to 3 minutes long. 1.2 12/02/2024 Time inference for Depth-Anything model improved 1.1 08/30/2024 1.0 08/28/2024
version 1.4
posted on 2026-09-20
Version History • Improved depth extraction from images and videos using built-in AI models. 1.4 Jan 9 • New color filters and custom gradients for enhanced depth map visualization.
• Improved depth extraction from images and videos using built-in AI models.
• Advanced depth data editing and composition with original media for preview or export with metadata.
• Export and save HEIC images with embedded depth data, or share simple renders without metadata.
• General performance improvements and smoother processing. 1.3 Jan 1 MiDaS_small and DepthAnythingV1 models have been added for depth map extraction. Now you can import images and videos from your device files and import videos up to 3 minutes long. 1.2 12/02/2024 Time inference for Depth-Anything model improved 1.1 08/30/2024 1.0 08/28/2024
version 1.4
posted on 2026-01-09
• Improved depth extraction from images and videos using built-in AI models.
Disclaimer
Official App Store Link
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