Vailabel Studio
Vailabel Studio is a free, open-source desktop app for annotating image, video, and multimodal data on Linux, macOS, and Windows.
What Vailabel Studio is
Vailabel Studio is a free, open-source desktop app for annotating image, video, and multimodal data on Linux, macOS, and Windows. Annotation options include bounding boxes, polygons, points, lines, circles, free-draw, and SAM smart segmentation. Its on-device copilot uses local models to detect objects, segment masks, suggest labels, and check annotation quality. Video labeling works frame by frame and includes object tracking. Projects are stored in a local SQLite database; the site says nothing is uploaded unless users choose to connect cloud storage. Optional connections include Amazon S3, Azure Blob, and Google Cloud Storage, with credentials kept in the operating system keychain. Export formats include LabelMe JSON, COCO, YOLO, YOLO-Seg, and Pascal VOC. Project types include object detection, semantic segmentation, image classification, keypoints, and mixed shapes. The copilot works with LM Studio, Ollama, and Jan, using ONNX Runtime with optional CUDA. The software is licensed under Apache-2.0. Team collaboration is planned, rather than listed as a current feature.
Good
- Free and open source under Apache-2.0.
- Supports image and frame-by-frame video labeling.
- On-device copilot uses local models.
- Exports to COCO, YOLO, and other formats.
Watch out
- Team collaboration is not currently listed.
- Cloud storage connections are optional, not built-in storage.
Who it suits
Vailabel Studio suits individuals preparing image, video, or multimodal datasets who want local annotation tools and multiple export formats. It is available for Linux, macOS, and Windows.
Verdict
Vailabel Studio combines varied annotation types with local model assistance and dataset exports. Its local-first storage suits workflows that do not require uploads, while team collaboration remains planned.
Plans and prices
From Vailabel Studio's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | Free and open source · no account required |
The facts
Each one read from Vailabel Studio's own pages, with the date it was checked.
What it does
- AI copilot
- The on-device copilot can detect objects, segment masks, suggest labels, and QA annotations using local models.checked 8 Oct 2026
- Annotation tools
- It supports bounding boxes, polygons, points, lines, circles, free-draw, and SAM smart segmentation.checked 8 Oct 2026
- Cloud storage
- Optional storage connections include Amazon S3, Azure Blob, and Google Cloud Storage; credentials are kept in the OS keychain.checked 8 Oct 2026
- Exports
- Export formats include LabelMe JSON, COCO, YOLO, YOLO-Seg, and Pascal VOC.checked 8 Oct 2026
- License
- The software is open source under the Apache-2.0 license.checked 8 Oct 2026
- Model integrations
- The site says the copilot works with LM Studio, Ollama, and Jan, and uses ONNX Runtime with optional CUDA.checked 8 Oct 2026
- Privacy
- Projects are stored in a local SQLite database, and the site says nothing is uploaded unless users choose to connect cloud storage.checked 8 Oct 2026
- Product
- Vailabel Studio is a local-first desktop app for image, video, and multimodal data annotation.checked 8 Oct 2026
- Project types
- Supported project types include object detection, semantic segmentation, image classification, keypoints, and mixed shapes.checked 8 Oct 2026
- Roadmap
- Team collaboration is listed as planned, while Florence-2, SAM 2, dataset intelligence, and a conversational copilot are listed as in progress.checked 8 Oct 2026
- Video
- Video labeling works frame by frame and includes object tracking.checked 8 Oct 2026
Where it runs
- Platforms
- The desktop app is available for Windows, macOS, and Linux, and requires no account or internet connection to start labeling.checked 8 Oct 2026
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