# AI Face Recognition (Gallery) Build a gallery from labeled faces and recognize faces in a target image > Canonical page: https://elysiatools.com/en/tools/ai-face-recognition - **Category:** AI Tools - **Keywords:** face, recognition, gallery, descriptor ## Overview This AI-powered tool enables you to build a labeled face gallery from uploaded images and use it to recognize individuals in a target photo. Simply provide reference faces with names, then test against new images for accurate identification. ## Inputs - **Gallery Images (1-50)** (file): Upload gallery faces - **Gallery Labels (comma-separated)** (text): Alice,Bob,Carol - **Target Image** (file): Upload target image to recognize - **Match Threshold** (number): 0.6 - **Minimum Confidence (0-1)** (number): 0.5 ## When to use - When you need to automatically identify known people in photo collections or batches. - To set up a face verification system for security, access control, or attendance tracking. - For organizing digital assets by tagging faces with labels based on a pre-defined gallery. ## How it works - Upload one or more face images to form the gallery, and optionally add comma-separated labels like names. - Upload a single target image containing faces to be recognized against the gallery. - Adjust the match threshold and minimum confidence settings to control recognition sensitivity. - The tool processes the images and returns JSON results with recognized faces, their labels, and confidence scores. ## Use cases - Automated tagging of faces in photo libraries for digital asset management. - Identity verification in security systems or event check-ins. - Organizing personal or professional photo collections by identifying individuals. ## Frequently asked questions ### What image formats are supported for upload? Common image formats such as JPEG, PNG, and GIF are accepted. ### How many images can I include in the gallery? You can upload up to 50 images for the gallery. ### What does the match threshold setting do? It controls the strictness of face matching; lower values are more lenient, while higher values require closer matches. ### Can the tool recognize multiple faces in one target image? Yes, it can detect and recognize multiple faces within a single target image. ### Is this tool suitable for real-time face recognition? No, it is designed for batch processing of uploaded images, not real-time video streams. ## Related tools - [AI Face Align & Crop](https://elysiatools.com/en/tools/ai-face-align-crop): Detect, align, and crop faces into individual images (zip when multiple) - [AI LLM Photo Retouch](https://elysiatools.com/en/tools/ai-image-style-sharp-optimizer): Use a vision LLM to recognize the image and automatically retouch it - [AI Image to Markdown](https://elysiatools.com/en/tools/ai-image-to-markdown): Extract text from images and convert to markdown format using AI vision models - [NSFW Image Content Detector](https://elysiatools.com/en/tools/nsfw-image-detector): AI content-moderation classifier using NSFWJS to flag uploaded images as safe or potentially inappropriate. Built for moderation and compliance review of your own files — it analyzes uploads only and is not an image search or discovery tool. Supports JPEG/PNG/WEBP/GIF. - [PNG Table Screenshot to Excel](https://elysiatools.com/en/tools/png-table-screenshot-to-excel): Use MiniMax M3 vision to recognize a table from a PNG screenshot and export the reconstructed grid to Excel - [Receipt & Invoice OCR Recognition](https://elysiatools.com/en/tools/ai-image-to-receipt-json): Extract key information from receipt/invoice images and convert to custom JSON format using AI vision models - [Image Color Picker](https://elysiatools.com/en/tools/image-color-picker): Pick colors from images by specifying coordinates. Get color values in HEX, RGB, HSL, HSV, and CMYK formats. - [AI Image Smart Enhance](https://elysiatools.com/en/tools/ai-image-enhance): Intelligently analyze and enhance image quality using AI vision models ## Samples - [Web Image Processing Python Samples](https://elysiatools.com/en/samples/web-image-processing-python): Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion - [Hugging Face Deploy Samples](https://elysiatools.com/en/samples/huggingface-deploy): Hugging Face model deployment examples including Transformers, Diffusers, and Gradio applications with Docker and cloud deployment - [Hugging Face JavaScript Samples](https://elysiatools.com/en/samples/huggingface-js): Hugging Face JavaScript/TypeScript examples using Transformers.js for NLP, computer vision, and multimodal tasks in browser and Node.js - [Android Image Processing Java Samples](https://elysiatools.com/en/samples/android-image-processing-java): Android Java image processing examples including reading/saving images, scaling, and format conversion ## Related content - [AI Face Analysis: Detection, Comparison, and Recognition Workflows](https://elysiatools.com/en/hubs/ai-face-detection-recognition-workflows): Separate face detection and alignment from descriptor comparison, gallery recognition, and expression or age-gender estimation, with practical privacy and error boundaries.