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🎬 KLING AI ⏱ 3 min read 🔍 Recognize

Recognize — Technical Guide

Upload any photo and instantly see it broken into layers — the AI separates the body, head, face, and clothing into individual masked images for analysis or further editing

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Recognize

Upload any photo and instantly see it broken into layers — the AI separates the body, head, face, and clothing into individual masked images for analysis or further editing
Recognize is a quick analysis tool. Upload any photo and the AI instantly detects and isolates four layers: the full body or object, the head including hair, the face without hair, and the clothing. Each layer comes back as a separate masked image — the detected area in full color against a transparent or blank background.

No prompt needed, no settings to configure, no waiting for a queue. Upload a photo, get the segmentation results back immediately. At just 0.1 credits per analysis, it is practically free to use.

The main use is understanding what the AI sees before you commit to a larger generation. Run Recognize on a photo before using it in Omni Image, Multi-Image, or Kling Video to check whether the AI correctly identifies the subject, where the face boundaries are, and how cleanly the clothing separates from the background. This saves you from wasting credits on a generation that uses a poorly-segmented reference.

The masked outputs also work as standalone assets. Use the isolated head for profile pictures, the body mask for background replacement workflows, or the clothing layer as a reference for fashion matching in other tools.
✦ Best Results Tips
📸 Clear Subject, Clean Background
Photos with one clear subject against a simple background produce the cleanest segmentation. Cluttered backgrounds with overlapping people or objects make it harder for the AI to separate the layers accurately.
👤 One Person Per Photo
Recognize works best with a single person clearly visible. Multiple overlapping people can confuse the segment boundaries — the AI may merge two people into one body mask or miss a face entirely.
💡 Good Lighting Matters
Well-lit photos with even lighting produce sharper mask edges. Heavy shadows or extreme backlighting make it harder for the AI to detect where the subject ends and the background begins.
🔗 Use Before Other Tools
Run Recognize on any photo before using it as a reference in Omni Image, Multi-Image, or Kling Video. It costs almost nothing and shows you exactly how the AI reads the image — saving credits on bad references.
✂️ Use the Masks as Assets
The separated layers are useful on their own. The isolated head works as a profile picture. The body mask works for background replacement. The clothing layer works as a fashion reference in other tools.
⚡ Instant Results, Almost Free
Recognize returns results immediately — no polling, no queue, no waiting. At 0.1 credits per analysis, you can run it on as many photos as you want without worrying about cost.

Recognize — Available Models

Image Recognize
Default
recognize
Detect objects and segments in an image.
Instant — no polling
📥 You Give
🖼️Image to Analyze
✨
AI Magic
klingai
🖼️ You Get
🖼️ Image
Features
Object detection Head segmentation Face segmentation Clothing segmentation

💰 Recognize — Pricing

Estimated cost
—
Failed jobs are automatically refunded

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