01What Is Meta SAM 3.1 and How Does It Work?

Meta SAM 3.1 is an AI tool from Meta that lets you type a text prompt to find and cut out objects in videos. It works with your real footage, not AI-generated video. You type something like 'red shoes' or 'person in the background,' and SAM 3.1 finds every matching object, cuts it out, and tracks it across all frames automatically.

The name 'SAM' stands for Segment Anything Model. It uses language understanding to identify objects. You don't need to click or draw boxes.

Just describe what you want in words. The AI handles the rest.

02Key Features of SAM 3.1: Text Prompts, 16-Object Tracking

In this episode, Julian Goldie highlights the main features of SAM 3.1. The biggest upgrade is object multiplexing. This lets you track up to 16 objects at once in a single pass.

Older versions could only track one object at a time.

  • Text prompts: Type a phrase like 'yellow bus' or 'people with backpacks' to find and segment all matches.
  • Exemplar prompts: Draw a box around one example, and SAM 3.1 finds all similar objects.
  • Visual prompts: Click on an object to segment it.
  • Video tracking: It follows objects even when they go behind things and come back.

It runs on a 16 GB GPU, which is a regular consumer graphics card. This makes it practical for everyday use.

03How to Get Started with SAM 3.1

You can try SAM 3.1 right now for free. Julian explains that Meta has an open-source playground. You don't need code or technical skills.

  1. Go to Meta's Segment Anything playground in your browser.
  2. Upload a video from your phone or computer.
  3. Type a text prompt describing what you want to find (for example, 'the blue mug').
  4. Press run or enter. The model will process the video and show you the segmented objects.
  5. Review the results. You can adjust your prompt if needed.

The playground is free to use. The model weights are also free if you want to run it locally with your own hardware.

04Using SAM 3.1 in Real Video Editing Workflows

Julian shows practical uses for SAM 3.1. For a content creator, you can isolate yourself from the background in any clip. Type 'person' and apply effects like blur or spotlight just to yourself, not the whole frame.

For e-commerce, you can segment every product in your catalog automatically. Type 'handbag' and it finds every handbag in your images. Then you can clean or swap backgrounds without Photoshop.

Agencies can use it for rotoscoping. This used to take hours or days. Now you type 'face' and it finds every face in a client's video.

You can deliver faster and take on more clients.

05Results and Comparisons: SAM 3.1 vs Older Versions

The episode compares SAM 3.1 to earlier versions. SAM 1 (April 2023) could segment one object with clicks. SAM 2 (2024) added video tracking.

SAM 3 (November 2025) added text understanding. SAM 3.1 (released yesterday) made it run on normal hardware and track 16 objects at once.

Performance numbers are impressive. It processes an image with over 100 objects in 30 milliseconds on a single GPU. It tracks video in near real time.

Julian notes that the accuracy stays the same as SAM 3, but it uses less computing power.

06Tips, Limits, and Mistakes to Avoid with SAM 3.1

Julian shares some tips for using SAM 3.1 effectively. First, be specific in your prompts. Instead of 'cat', say 'striped cat' to get better results.

The model is trained on 270,000 visual concepts, so it can recognize details.

A common mistake is expecting it to work on unrelated tasks. SAM 3.1 is for segmentation, not for making AI-generated video. It works with real footage only.

Also, remember that it's not perfect—objects that go out of view may need re-selection, but the tracking helps.

Another limit: while it runs on a 16 GB GPU, very long videos or many objects can slow it down. For business use, consider fine-tuning with Robot Flow for your specific needs.

07Who Should Use SAM 3.1 and Why It Matters

SAM 3.1 is for creators, freelancers, and e-commerce businesses. If you make reels or shorts, you can add effects to just yourself. If you sell products, you can clean up photos fast.

If you run an agency, you can speed up client work.

Julian stresses that this matters because it's already built into Meta's products. The Instagram Edits app uses SAM for cutouts. Facebook Marketplace uses SAM 3D for 'view in room'.

It's free and open source, so anyone can use it.

The gap between those who use such tools and those who don't is growing. By adopting SAM 3.1, you save hours of manual work and stay ahead.