Alibaba Cloud PAI iTAG vs Intellisane Annotation Platform
Alibaba Cloud PAI iTAG
help.aliyun.comIntellisane Annotation Platform
intellisane.aiSide by side
| Figure | Alibaba Cloud PAI iTAG | Intellisane Annotation Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · AI Data Labeling Tools | 8.3 (#4) | 7.8 (#11) |
| Purpose | iTAG is PAI’s data labeling platform with built-in templates for images, text, video, audio, and multimodal data. | The platform labels images, video, audio, text, and 3D point clouds for AI training. |
| Security | Alibaba Cloud recommends using a RAM user with an API-only AccessKey and least-privilege permissions when accessing the iTAG API. | The company describes its approach as following strict data privacy protocols, secure infrastructure practices, and industry-grade compliance standards, without naming specific certifications on that page. |
| Support | The iTAG overview points users to its FAQ and an Alibaba Cloud AI assistant for product, solution, and documentation questions. | The company says it offers ongoing support for updates, scaling, or retraining as AI models evolve. |
Plans
In their own words
Alibaba Cloud PAI iTAG
Alibaba Cloud PAI iTAG is a data-labeling platform for image, text, video, audio and multimodal datasets. Built-in image tasks include classification, object detection, OCR, table recognition and semantic segmentation; official templates also cover image-text explanation, conversation ranking, visual question answering and video OCR. Teams can use official or tenant templates, or create templates for business-specific labeling. A job brings together an OSS-backed dataset and template with labels, subtasks, checks, labelers and reviewers. Manual labeling is free, and selected large-model labeling templates are currently free; OSS storage and data transfer are billed separately. Input data must be in Alibaba Cloud OSS, and the workspace and bucket must be in the same region. Dataset imports require an index file rather than a direct path to a folder of raw files. From August 1, 2026, iTAG 1.0 is allowlist-only and in maintenance mode. Existing customers with prior labeling tasks or datasets can continue using current features. New users seeking AI-powered automatic dataset labeling are directed to Multimodal Data Management. API operations include listing, creating, updating and deleting templates and labeling tasks.
Intellisane Annotation Platform
Intellisane Annotation Platform prepares image, video, audio, text, and 3D point-cloud data for AI training. Its image tools cover boxes, polygons, ellipses, polylines, keypoints, and semantic segmentation; other workflows include transcription, video tracking, text annotation, and 3D LiDAR annotation. Teams can divide projects into batches, track progress, and export each batch independently. Workspaces assign Owner, Manager, Annotator, and Reviewer roles. Reviewers can approve or reject batches with comments or request corrections. Data can be uploaded or imported from AWS S3 and Google Cloud Storage, then exported in COCO JSON, YOLO v5/v8, Pascal VOC XML, or custom JSON, including direct pushes to those storage services. The cloud service has a free plan at free, covering up to 3 members, 2 projects, 1,000 annotations, and 200 assets, with no credit card required. The company states a 98%+ accuracy guarantee and support for 80+ languages. Intellisane is based in Dhaka, Bangladesh.