CVAT vs Doccano
CVAT
cvat.aiDoccano
doccano.github.ioSide by side
| Figure | CVAT | Doccano |
|---|---|---|
| Price from | $1.92/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 8 | 1 |
| Spec score · Data Labeling Software | 8.4 (#6) | 8.8 (#2) |
| Deployment | CVAT is offered as a managed cloud service or as a self-hosted deployment, including on-premises and air-gapped options. | The repository lists one-click deployment options for AWS and Heroku, and the guide supports installation locally or in the cloud. |
| Founded | 2022 | 2018 |
| Purpose | CVAT turns raw images, video, 3D data, and audio into labeled datasets for AI workflows. | Doccano is an open-source text annotation tool for machine-learning practitioners. |
| Support | Enterprise Basic includes 24-hour email support with a 24-hour response SLA and a private helpdesk channel for urgent critical issues. | The project directs users to its FAQ and invites them to contact the author for help and feedback. |
Plans
CVAT
- CommunityFree
- CVAT Online FreeFree
- CVAT Online Solo Yearly$23 a year
- CVAT Online Team Yearly$23 a year
- CVAT Online Solo Monthly$33 a month
- CVAT Online Team Monthly$33 a month
- Enterprise Basic$12,000 a year
- Enterprise PremiumPriced on request
In their own words
CVAT
CVAT turns images, video, 3D data and audio into labeled datasets for AI workflows. Its annotation tools include boxes, masks, polygons, keypoints, skeletons and object tracks, with additional listed types such as cuboids, ellipses and tags. Teams can review jobs through validation and acceptance stages and assess quality using ground truth, honeypots and consensus workflows. Storage connections include Amazon S3, Azure Blob Storage, Google Cloud Storage, compatible buckets and self-hosted storage. CVAT names SAM 2, SAM 3, Ultralytics, Hugging Face and custom models as labeling aids. It exports to more than 20 formats, including COCO, YOLO, KITTI, Cityscapes and Pascal VOC, and offers API, SDK and CLI automation. Deployment can be managed in the cloud or self-hosted, including on-premises and air-gapped options. Free plans are available; online paid plans start at $23/user/mo billed annually. CVAT lists security controls but says it does not hold ISO 27001 or SOC 2 certifications.
Doccano
Doccano is a free, open-source data-labeling tool for machine-learning practitioners. Its supported annotation tasks include text classification, sequence labeling, and sequence-to-sequence annotation, with uses such as sentiment analysis, named entity recognition, and text summarization. Users can set up projects, import datasets, add collaborators, annotate examples, and export labeled data. REST APIs let scripts connect to Doccano for model-assisted labeling, and multiple people can work collaboratively. Installation options include pip, Docker, Docker Compose, source, or cloud deployment. The installation guide lists Linux, Windows, and macOS machines running Python 3.8 or later. SQLite 3 is the default database; PostgreSQL configuration is described, and MySQL is mentioned as an option. Imported datasets can be stored using Amazon S3 or Google Cloud Storage. The project also lists mobile and multi-language support, emoji support, and a dark theme. Integration guidance demonstrates Amazon Comprehend Sentiment Analysis and custom REST APIs for auto-labeling. One upgrade caveat is important: the installation guide warns that an upgrade using SQLite 3 can cause database loss.