SAM 3 Video Segmentation

Track and isolate objects across video frames using text or visual prompts

Input Video

@Video1

Generated Video

Generated

Upload your video and extend it in seconds

8,500+ videos generated this month

📄 About SAM 3 Video Segmentation

SAM 3 Video Segmentation is a cutting-edge AI model designed to revolutionize video segmentation tasks for creators, researchers, and developers. Leveraging the powerful Segment Anything Model 3 architecture, this tool excels at tracking and segmenting objects across video frames with impressive accuracy and speed. By accepting both text prompts—like specifying 'person', 'red car', or 'pillow'—and visual cues, users can intuitively define which objects to segment, making the process highly accessible and flexible. The model operates by analyzing the input video and intelligently identifying the desired object(s) in each frame, ensuring seamless consistency throughout the sequence. With its real-time tracking capabilities, SAM 3 can follow moving subjects, adapt to changes in appearance, and maintain segmentation even in dynamic or cluttered environments. The user can customize detection sensitivity with an adjustable confidence threshold and choose whether to apply a visible mask overlay for enhanced visualization. For advanced workflows, SAM 3 supports point and box prompts, as well as exporting per-frame bounding box overlays in a convenient zip format for further analysis or integration into other tools. Ideal for a range of applications, SAM 3 is perfect for video editing, content creation, surveillance, sports analytics, and research where accurate object tracking is crucial. Editors can quickly isolate or highlight objects, researchers can automate tedious annotation tasks, and developers can integrate robust segmentation into their pipelines. The model’s support for both file uploads and video URLs ensures broad compatibility, and its straightforward interface makes it accessible to users of all technical backgrounds. Whether you need to segment a single item in a short clip or monitor multiple objects throughout a complex scene, SAM 3 delivers reliable results. Its pay-as-you-go credit system allows for scalable usage without upfront commitments, making it an excellent choice for projects of any size. Overall, SAM 3 Video Segmentation stands out as a highly versatile, user-friendly, and powerful tool for anyone seeking next-level video analysis and object tracking capabilities.

✨ Key Features

Real-time tracking and segmentation of objects across video frames using advanced AI.

Accepts both natural language text prompts and visual point/box prompts for flexible segmentation.

Customizable detection confidence threshold, allowing precise control over object detection sensitivity.

Supports applying masks directly to output videos for immediate visual feedback.

Option to export per-frame bounding box overlays as a zip archive for advanced workflows.

Handles videos via direct upload or URL, ensuring compatibility with various sources.

Efficient processing with typical generation times ranging from 30 to 60 seconds per video.

💡 Use Cases

⚡Automated video editing and object removal or highlighting.

⚡Sports analytics and player tracking in game footage.

⚡Surveillance footage analysis for security and monitoring.

⚡Dataset creation and annotation for machine learning projects.

⚡Content creation for social media, marketing, and advertising.

⚡Medical video analysis for research and diagnostics.

⚡Post-production workflows in film and television.

🎯 Best For

🎯 Professional video editors, researchers, content creators, and developers seeking powerful video segmentation and object tracking capabilities.

👍 Pros

✓Highly accurate and consistent object segmentation across complex video scenes.

✓Flexible input options with both text and visual prompts.

✓Fast processing suitable for real-time or near-real-time applications.

✓No coding required—user-friendly interface for all skill levels.

✓Supports both batch export and advanced customizations for power users.

⚠️ Considerations

△Requires internet connection and access to the platform.

△Advanced features may have a learning curve for beginners.

△Processing times may vary depending on video length and complexity.

📚 How to Use SAM 3 Video Segmentation

Upload your video file or provide a video URL in the input field.

Enter a text prompt describing the object you want to segment (e.g., 'person', 'red car').

Adjust the detection threshold slider if you need more or fewer detections.

Choose whether to apply a visible mask to the output video for immediate feedback.

Optionally, enable bounding box export or add advanced prompts for custom workflows.

Start the segmentation process and download your segmented video or exported files once ready.

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Frequently Asked Questions

SAM 3 analyzes each frame of your video and uses AI to identify and segment objects based on your prompts. It tracks the selected objects across all frames, ensuring consistent segmentation even in dynamic scenes.

You can use natural language text prompts like 'person' or 'car' for simple segmentation. For advanced use, you can also provide point or box prompts to precisely target specific objects or regions.

Yes, the model lets you set a detection confidence threshold. Lower values result in more detections but may include less precise results, while higher values increase precision.

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

SAM 3 supports a wide range of video formats as long as they are accessible via upload or URL. Most common video file types are accepted.