SAM 3

SAM3 Image Segmentation

SAM3 Image Segmentation is an advanced image segmentation model based on Meta's Segment Anything Model 3. It identifies and segments objects in images using flexible prompt types — text descriptions, point coordinates, or bounding boxes — delivering precise masks for any target object.

Why Choose This?

• Multiple prompt types Segment objects using text prompts, point prompts, box prompts, or any combination.

• Text-based segmentation Simply describe what to segment (e.g., "the man", "the car", "background").

• Point and box prompts Precise control with coordinate-based prompts for exact object targeting.

• Mask overlay option Optionally overlay the segmentation mask directly on the original image.

• Prompt Enhancer Built-in tool to automatically improve your text prompts for better results.

• Ultra-affordable Just $0.005 per image for professional-quality segmentation.

Parameters

Parameter	Required	Description
image	Yes	Source image to segment (upload or URL)
prompt	No*	Text description of the object to segment
point_prompts	No*	Point coordinates to identify the target object
box_prompts	No*	Bounding box coordinates to identify the target object
apply_mask	No	Overlay the segmentation mask on the original image
output_format	No	Output format: jpeg, png, or webp (default: png)

*At least one prompt type (text, boxes, or points) must be provided.

How to Use

1. Upload your image — drag and drop or paste a URL.
2. Add prompts — provide at least one of the following:
   • Text prompt — describe the object to segment (e.g., "the man", "the dog").
   • Point prompts — click "+ Add Item" to add point coordinates.
   • Box prompts — click "+ Add Item" to add bounding box coordinates.
3. Enable apply_mask (optional) — check to overlay the mask on the original image.
4. Choose output format — select jpeg, png, or webp.
5. Run — submit and download the segmented result.

Pricing

Item	Cost
Per image	$0.005

Simple flat-rate pricing regardless of image size or prompt complexity.

Best Use Cases

• Background Removal — Segment subjects for clean background removal.
• Object Isolation — Extract specific objects for compositing or editing.
• Image Editing — Create precise masks for targeted edits.
• Data Annotation — Generate segmentation masks for training datasets.
• E-commerce — Isolate products for catalog images.

Pro Tips

• Text prompts work best for common objects with clear descriptions.
• Use point prompts for precise targeting when text is ambiguous.
• Use box prompts to constrain the segmentation to a specific region.
• Combine multiple prompt types for more accurate results.
• Enable apply_mask to visualize the segmentation directly on the image.
• PNG format preserves transparency for mask outputs.

Notes

• At least one prompt type must be provided (text, points, or boxes).
• Text prompts support natural language descriptions.
• Point and box prompts use image coordinate systems.
• PNG format is recommended for mask outputs to preserve transparency.

Related Models

• Bria RMBG — Background removal model.
• Qwen Image Edit 2511 — Image editing with text instructions.