SAM 3 - 3D Objects

Reconstruct objects from photos into 3D models with geometry and texture.

Input

Original

Output

Loading 3D Model...

Generated

Create a 3D model from your image in seconds

10,000+ generations this month

📄 About SAM 3 - 3D Objects

SAM 3 - 3D Objects is an advanced AI-powered model designed to convert real-world images into high-quality 3D reconstructions. Leveraging state-of-the-art segmentation and 3D generation technology, SAM 3D accurately captures both the geometry and textures of objects, making it an ideal solution for industries that demand fast, reliable, and detailed 3D object creation. Whether you need to digitize products, create assets for games and virtual reality, or generate photorealistic models for design and visualization, SAM 3D streamlines the entire process. The model works by ingesting an image and either auto-segmenting the object of interest or using custom masks provided by the user. For even more precise segmentation, advanced users can supply point or box prompts, or upload external pointmap or depth data. This flexibility allows users to control the level of detail and accuracy in the 3D reconstruction process. The output supports popular formats like Gaussian Splat (.ply) and GLB mesh files, making seamless integration with 3D software and workflows possible. Designed for versatility, SAM 3D supports a range of input methods. Users can upload images directly or provide image URLs, and can add segmentation prompts via text (such as “car,” “bottle,” or “lamp”) if masks are not available. The model also allows for batch processing with multiple masks, making it efficient for projects involving several objects within a single image. Advanced customization is possible with options for random seed reproducibility and importing external depth data, catering to both beginners and professionals. SAM 3 - 3D Objects is perfect for e-commerce businesses seeking to create 3D product catalogs, designers and artists producing assets for AR/VR environments, and researchers needing quick prototyping of real-world objects. Architects, marketers, and educators can also benefit by visualizing concepts in three dimensions with minimal effort. The pay-as-you-go credit system ensures flexibility and scalability for projects of any size, and the model’s robust automation features drastically reduce the time and expertise needed to produce high-quality 3D models. In summary, SAM 3 - 3D Objects is a powerful, accessible tool that bridges the gap between 2D imagery and 3D digital assets. Its precision, speed, and adaptability make it a valuable resource for anyone needing to bring real-world objects into the digital realm with exceptional fidelity.

✨ Key Features

Transforms real images into detailed 3D models with accurate geometry and textures.

Offers both auto-segmentation and custom object masking for flexible object selection.

Supports advanced segmentation with point and box prompts for precise control.

Accepts external pointmap or depth data to enhance depth estimation accuracy.

Delivers output in popular 3D formats including Gaussian Splat (.ply) and GLB mesh.

Allows batch processing with multiple masks for handling several objects per image.

Enables reproducible results with an optional random seed parameter.

💡 Use Cases

⚡Creating 3D product models for e-commerce listings and online catalogs.

⚡Generating assets for game development and virtual or augmented reality experiences.

⚡Automating 3D digitization of real-world objects for rapid prototyping and research.

⚡Visualizing architectural concepts and interior designs in three dimensions.

⚡Producing educational materials and interactive learning tools featuring 3D objects.

⚡Enriching marketing presentations with high-quality 3D renderings from real images.

⚡Documenting and archiving cultural artifacts and collectibles in digital 3D format.

🎯 Best For

🎯 3D designers, product visualizers, digital artists, educators, and businesses needing fast, accurate 3D object generation from images.

👍 Pros

✓Accurate 3D reconstruction with both geometry and texture preservation.

✓Flexible input options, including custom masks, prompts, and external data.

✓Supports multiple industry-standard 3D file formats for easy integration.

✓Efficient automation reduces manual workload and accelerates workflows.

✓Versatile for a wide range of industries and project types.

⚠️ Considerations

△Requires high-quality input images for optimal results.

△Advanced segmentation features may require some technical understanding.

△Processing time can vary depending on image complexity and object count.

📚 How to Use SAM 3 - 3D Objects

Prepare a clear image of the object you wish to reconstruct in 3D.

Upload your image directly or provide the image URL in the input field.

Optionally, specify a text prompt (e.g., 'car', 'bottle') for auto-segmentation, or upload custom object masks for more control.

For advanced users, provide point or box prompts, or upload external pointmap/depth data to enhance segmentation and depth accuracy.

Submit your inputs and wait for the model to process and generate the 3D object.

Download your 3D model in your preferred format (Gaussian Splat, GLB mesh) for further use.

💡 Pro Tips for SAM 3 - 3D Objects

★

Use Plain Backgrounds for Best Results SAM 3 - 3D Objects performs best when your subject is photographed against a simple, uncluttered background. Plain white, gray, or solid-color backdrops help the auto-segmentation algorithm accurately identify object boundaries without confusion from background elements. If you're working with complex scenes, consider providing custom masks or switching to Meshy v6 Image to 3D, which handles detailed environments differently through its neural rendering approach.

★

Capture Multiple Angles for Complex Objects While SAM 3 reconstructs 3D models from single images, capturing your object from multiple angles and processing each separately can help you verify reconstruction quality and choose the best output. For objects requiring multi-view consistency or higher geometric fidelity, compare results with Hunyuan3D-2.1 Quality Mode, which offers enhanced detail preservation. Use consistent lighting across all angles to maintain texture quality throughout your reconstruction workflow.

★

Specify Clear Text Prompts for Auto-Segmentation When relying on auto-segmentation without custom masks, use simple, specific object names like "chair," "bottle," or "lamp" rather than complex descriptions. The text prompt guides the segmentation algorithm to identify the correct object boundaries in your image. Generic prompts like "object" or overly detailed descriptions may reduce accuracy. For projects requiring text-driven 3D generation from scratch rather than photo reconstruction, explore Meshy v6 Text to 3D as an alternative workflow.

★

Optimize Lighting to Preserve Texture Detail Even, diffused lighting produces the best texture mapping results in SAM 3 - 3D Objects. Harsh shadows, strong highlights, or uneven illumination can create artifacts in the reconstructed 3D model's surface appearance. Natural daylight or soft studio lighting works well for most objects. If your source images have challenging lighting conditions, you may need to adjust expectations for texture fidelity, or consider models like Hunyuan 3.1 Rapid Image to 3D for faster iterations during testing phases.

★

Process High-Resolution Images for Maximum Detail SAM 3 - 3D Objects benefits from high-resolution input images, as more pixel data translates to better geometry and texture reconstruction. Images with at least 1024×1024 resolution typically produce superior results compared to lower-resolution sources. However, very large images may increase processing time, so balance quality needs against speed requirements. For projects demanding ultra-high polygon counts or professional topology, compare outputs with Hunyuan 3.1 Smart Topology 3D to evaluate mesh quality differences.

★

Export GLB for Universal 3D Software Compatibility While SAM 3 outputs both Gaussian Splat (.ply) and GLB mesh formats, the GLB format offers the widest compatibility with 3D software including Blender, Unity, Unreal Engine, and web-based viewers. GLB files bundle geometry, textures, and materials into a single file, simplifying asset management. Use Gaussian Splat outputs when working with specialized point cloud or volumetric rendering pipelines. For rapid prototyping workflows requiring immediate 3D previews, Meshy 5 Multi I2-3D provides fast turnaround with built-in preview capabilities.

Ready to try SAM 3 - 3D Objects?

Get 10 free credits — no credit card required

Start Free →

Frequently Asked Questions

SAM 3 - 3D Objects supports standard image formats such as JPEG and PNG. You can upload images directly from your device or provide an image URL for processing.

Yes, you can reconstruct multiple objects by uploading a list of custom masks, one for each object. If you do not provide masks, the model can auto-segment objects based on a text prompt.

The model generates 3D outputs in widely-used formats such as Gaussian Splat (.ply) and GLB mesh files, as well as providing individual files and metadata for further customization.

Pricing varies by model and is based on a pay-as-you-go credit system, allowing you to scale usage according to your project needs without upfront commitments.

While the basic workflow is user-friendly, utilizing advanced segmentation options such as point/box prompts or external depth data may require some familiarity with 3D data and segmentation techniques.

Credit consumption for SAM 3 - 3D Objects varies based on image complexity, resolution, and whether you're processing single or multiple objects with batch masking. A typical single-object reconstruction from a standard-resolution image consumes approximately 15-25 credits, with processing time ranging from 60 to 120 seconds. More complex scenes with multiple masks or high-resolution inputs may require additional credits. JAI Portal's pay-as-you-go system means you only pay for what you use, with no monthly subscriptions. New users receive starter credits to test the model before committing to larger projects. For budget-conscious workflows requiring faster turnaround, consider Hunyuan 3.1 Rapid Image to 3D, which offers quicker processing at potentially lower credit costs for simpler reconstructions.

Yes, all 3D models generated through SAM 3 - 3D Objects on JAI Portal using paid credits come with full commercial-use rights. You own the output and can use it in commercial products, e-commerce listings, marketing materials, games, AR/VR experiences, client projects, and any other commercial applications without additional licensing fees or royalties. This applies to both GLB mesh files and Gaussian Splat outputs. The only requirement is that you've paid for the generation with JAI Portal credits. Free tier or trial outputs may have different usage terms, so always generate final commercial assets using paid credits. This commercial-use policy extends across all JAI Portal models, making the platform ideal for professional studios, agencies, and businesses requiring 3D assets at scale.

Auto-segmentation uses your text prompt (like "car" or "bottle") to automatically identify and isolate the target object from your image, making it ideal for quick workflows with clearly defined subjects against simple backgrounds. Custom masks, on the other hand, give you precise control by letting you upload pre-made segmentation masks that define exact object boundaries. Custom masks are essential when working with complex scenes, overlapping objects, or when the auto-segmentation struggles with ambiguous boundaries. You can create masks in image editing software like Photoshop or GIMP, where white pixels indicate the object and black pixels represent the background. For batch processing multiple objects in a single image, you can upload multiple mask files. Advanced users can also leverage point prompts or box prompts for semi-automated segmentation control, offering a middle ground between full automation and manual masking.

SAM 3 - 3D Objects can struggle with highly transparent or reflective objects because the reconstruction algorithm relies on visible surface features and texture information. Glass, mirrors, and chrome surfaces often lack the distinct visual cues needed for accurate geometry reconstruction, potentially resulting in incomplete or distorted 3D models. For best results with transparent objects, photograph them against contrasting backgrounds and ensure they have visible edges, labels, or surface imperfections that provide segmentation cues. Reflective objects benefit from matte spray coatings or diffused lighting that reduces specular highlights. If your project heavily involves transparent or reflective materials, you may need to manually refine outputs in 3D software or consider alternative reconstruction methods. For solid, opaque objects with clear surface details, SAM 3 delivers excellent results. Models like Hunyuan3D-2.1 Quality Mode may handle certain material types differently, so testing multiple approaches is recommended for challenging subjects.

Yes, SAM 3 - 3D Objects supports integration into automated workflows through JAI Portal's API, making it suitable for batch processing and production pipelines. You can programmatically submit images, specify prompts or masks, and retrieve 3D outputs without manual intervention. This is particularly valuable for e-commerce platforms processing hundreds of product images, research projects requiring systematic 3D digitization, or studios building asset libraries at scale. The API accepts both direct image uploads and URLs, and supports all advanced parameters including custom masks, point prompts, and external depth data. Processing times remain consistent at 60-120 seconds per object, so plan your pipeline accordingly. For high-volume projects, monitor your credit balance and consider JAI Portal's bulk credit packages for cost efficiency. API documentation and code examples are available in your JAI Portal dashboard after signup, and technical support can assist with integration questions for enterprise implementations.

⚖️ How SAM 3 - 3D Objects Compares

SAM 3 - 3D Objects distinguishes itself through precision segmentation and faithful texture reconstruction from single photographs, making it ideal when accuracy matters more than speed. Compared to Hunyuan 3.1 Rapid Image to 3D, SAM 3 offers more granular control through custom masks, point prompts, and external depth data integration, though Hunyuan's rapid variants deliver faster turnaround for simpler objects. For users prioritizing mesh topology and professional-grade geometry, Hunyuan 3.1 Smart Topology 3D produces cleaner quad-based meshes better suited for animation and subdivision, while SAM 3 excels at preserving photorealistic surface detail. When multi-view consistency matters, Meshy 5 Multi I2-3D handles multiple input angles more elegantly, whereas SAM 3 focuses on maximizing quality from single images. Choose SAM 3 when you need precise object isolation from complex backgrounds, have specific segmentation requirements, or want to leverage external depth data for enhanced accuracy. Its flexible input options and support for batch mask processing make it particularly valuable for e-commerce product digitization, archival documentation, and projects where segmentation control directly impacts output quality. For straightforward text-to-3D generation without source photos, Meshy v6 Text to 3D offers a complementary workflow. Compare models side-by-side in JAI Portal's interface or start with free credits at signup to determine which reconstruction approach best fits your specific project requirements and quality expectations.