
X-AnyLabeling
A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data.
xanylabeling.com
About X-AnyLabeling
X-AnyLabeling is a desktop application that combines versatile built-in tools with state-of-the-art AI models for annotating text, image, video, and multimodal data. It supports multimodal tasks such as classification, detection, segmentation, pose, tracking, OCR, and more. The application has a model library with 100+ ready-to-use model configurations and supports open formats like COCO, VOC, and YOLO.
Description summarised by AI from the sources listed below.
Key features
- Multimodal annotation workspace
- Unified support for annotating and processing text, image, video, and multimodal data
- Supports tasks such as image classification, object detection, instance segmentation, pose estimation, oriented object detection, multi-object tracking,…
- Annotation geometry
- Model library with 100+ ready-to-use model configurations
- Provides polygons, rectangles, cuboids, rotated boxes, quadrilaterals, circles, lines, polylines, points, masks, and task-specific tools for text detection,…
- Support for open formats like COCO, VOC, and YOLO
- Inference stack with ONNX Runtime, TensorRT, OpenCV DNN, or PyTorch
- Inference stack
- Integrates a wide range of state-of-the-art deep learning models for AI-assisted annotation, automated labeling, and batch dataset prediction
- Supports both local and remote inference through engines and serving frameworks such as ONNX Runtime, TensorRT, OpenCV DNN, vLLM, and SGLang
- Purpose-built tools for document parsing, video classification, and multimodal conversations
- Open formats
- Supports importing and exporting formats such as COCO, VOC, YOLO, DOTA, MOT, masks, PPOCR, MMGD, VLM-R1, and ShareGPT
- Multilingual support
Use cases
- Data annotation for computer vision tasks
- Multimodal data annotation
- Model-assisted labeling
- High-quality data preparation for training or downstream workflows
Pricing
Pricing model: Unknown — we have not been able to confirm pricing from the official website, so nothing is stated here.
Pricing from the tool's own website.
