BRAT vs Intellisane Annotation Platform
BRAT
brat.nlplab.orgIntellisane Annotation Platform
intellisane.aiSide by side
| Figure | BRAT | Intellisane Annotation Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · AI Data Labeling Tools | 8.0 (#9) | 7.8 (#11) |
| Exports | Annotations can be exported in brat stand-off format, and visualizations in SVG, PNG, PDF, or EPS. | Exports include COCO JSON, YOLO v5/v8, Pascal VOC XML, and custom JSON, with direct push to AWS S3 and Google Cloud Storage. |
| Purpose | brat is a web-based tool for structured text annotation, where annotations have fixed forms that computers can process. | The platform labels images, video, audio, text, and 3D point clouds for AI training. |
| Support | The project directs usage questions to its mailing list and bug reports or feature requests to its GitHub issue tracker. | The company says it offers ongoing support for updates, scaling, or retraining as AI models evolve. |
Plans
In their own words
BRAT
brat is a free, open-source tool for structured text annotation, with annotations represented in forms computers can process. It supports text spans, binary relations, n-ary associations, attributes, normalization annotations, and freeform notes. Teams can configure categories, types, and constraints for their tasks, and multiple annotators can work on the same document or collection while seeing one another’s edits nearly as they happen. Normalization can link annotations to external resources, and brat can incorporate output from automatic annotation services available as web services. Its server and client support Unicode across nearly 100 scripts. The tool checks edits against configured constraints and searches documents or collections, including keyword-in-context concordancing. Annotations export in brat stand-off format; visualizations can be saved as SVG, PNG, PDF, or EPS. The free v1.3 release is self-hosted under the MIT License. New server installations assume a UNIX-like environment; Windows users can run brat in a UNIX-like virtual machine. The experimental standalone server is not security-hardened and is not recommended for sensitive data or systems accessible from the internet.
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.