# AI Face Align & Crop

Detect, align, and crop faces into individual images (zip when multiple)

> Canonical page: https://elysiatools.com/en/tools/ai-face-align-crop

- **Category:** AI Tools

- **Keywords:** face, align, crop, vision

## Overview

This AI-powered tool detects faces in uploaded images, aligns them based on facial landmarks, and crops each face into a separate image. When multiple faces are found, they are automatically packaged into a zip file for convenient download.

## Inputs

- **Image File** (file): Upload an image
- **Minimum Confidence (0-1)** (number): 0.5
- **Max Faces** (number): Leave empty for all

## When to use

- When you need to extract individual faces from group photos or event pictures.
- For preparing aligned face images for machine learning datasets or facial recognition systems.
- To create consistent profile pictures or avatars from larger images without manual cropping.

## How it works

- Upload an image file containing one or more faces.
- The AI model scans the image to detect faces, using an adjustable confidence threshold.
- Each detected face is aligned using facial landmark detection for uniform orientation.
- Faces are cropped into individual images and saved; if multiple, they are compressed into a zip file.

## Use cases

- Batch processing of event photos to extract attendee headshots for identification or records.
- Generating training data for AI models by creating a dataset of aligned, cropped face images.
- Automating the creation of individual portraits from family or team pictures for social media or profiles.

## Frequently asked questions

### What image formats are supported?

The tool accepts common image formats like JPEG, PNG, and others as specified in the upload option.

### How does the confidence setting affect detection?

The minimum confidence value (0-1) filters detections; higher values reduce false positives but may miss some faces.

### Can I limit the number of faces processed?

Yes, use the max faces option to set a limit; leave it empty to detect all faces in the image.

### What happens if no faces are detected?

The tool will return an error message or an empty result, prompting you to check the image or adjust settings.

### Is the original image quality preserved in the output?

Yes, faces are cropped without compression loss, maintaining the original resolution and quality.

## Related tools

- [AI Face Recognition (Gallery)](https://elysiatools.com/en/tools/ai-face-recognition): Build a gallery from labeled faces and recognize faces in a target image
- [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
- [AI Image Smart Enhance](https://elysiatools.com/en/tools/ai-image-enhance): Intelligently analyze and enhance image quality using AI vision models
- [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
- [Batch Image Convert](https://elysiatools.com/en/tools/batch-convert): Convert multiple images to different formats with quality settings and batch processing
- [Batch Image Resize](https://elysiatools.com/en/tools/batch-resize): Resize multiple images to specific dimensions with various resize options and batch processing
- [Batch Image Crop](https://elysiatools.com/en/tools/image-batch-crop): Batch crop multiple images to specific dimensions or aspect ratios with custom positioning. Returns cropped images as a ZIP download.
- [Image Stitcher](https://elysiatools.com/en/tools/image-stitcher): Combine multiple images into a single stitched image with customizable layout, spacing, and alignment

## Samples

- [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
- [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
- [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.