Label Studio vs SuperAnnotate
Label Studio
labelstud.io
SuperAnnotate
superannotate.comSide by side
| Figure | Label Studio | SuperAnnotate |
|---|---|---|
| Price from | $99/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 3 |
| Spec score · Image Annotation Software | 9.1 (#1) | 7.1 (#25) |
| Spec score · AI Image Annotation Tools | 9.1 (#1) | 7.1 (#22) |
| Spec score · Data Labeling Software | 9.0 (#1) | 7.0 (#22) |
| Spec score · AI Data Labeling Tools | 8.9 (#1) | 7.0 (#19) |
| Founded | HumanSignal is listed as founded in 2019. | 2018 |
| Integrations | The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations. | Listed dataset integrations include AWS, Google Cloud, Azure, Snowflake, Databricks, and custom storage; the company also lists NVIDIA, AWS, Databricks, GCP, Snowflake, and IBM partnerships. |
| Purpose | Label Studio is an open source data labeling tool for labeling multiple data types and connecting machine learning models for predictions or active learning. | SuperAnnotate provides infrastructure for AI teams to create, evaluate, and improve data across modalities until datasets are training-ready. |
| Security controls | Official security guidance describes TLS, HTTPS, secured cookies, role-restricted token API access, SSRF protection and encrypted PostgreSQL connections. | Described safeguards include encryption in transit and at rest, restricted production access, security event alerting, annual penetration testing, and an incident response plan. |
| Support | Community users are directed to Slack and GitHub issues, Starter Cloud includes a dedicated support portal, and Enterprise offers priority support with response time SLAs. | The Pro and Enterprise plans list a dedicated Slack channel and dedicated customer success manager; Enterprise also lists a dedicated solutions engineer. |
Plans
Label Studio
- Community EditionFree
- Starter Cloud$99 a month
- EnterprisePriced on request
SuperAnnotate
- EnterprisePriced on request
- ProPriced on request
- StarterPriced on request
In their own words
Label Studio
Label Studio is an open-source data labeling tool for text, images, audio, video, time series, and multimodal data. It provides a configurable labeling interface, project templates, data management, and annotation import and export. Custom machine-learning backends can provide predictions, while Enterprise adds automated active-learning loops. Its integrations directory spans cloud storage, foundation-model APIs, computer vision, speech and audio, machine-learning frameworks, and infrastructure. Listed storage options include Amazon S3, Google Cloud Storage, Azure Blob Storage, Databricks, Redis, and local storage. APIs, a Python SDK, and webhooks support programmatic management and integration. Deployment options include on-premises or cloud installation using pip, Docker, Ubuntu, source, or Anaconda. Security documentation describes TLS for application-component interactions, HTTPS, and secured cookies. Enterprise is described as SOC 2 and HIPAA compliant and can be deployed in the cloud or on premises, with SSO and SCIM 2.0 support. Community Edition is free. Starter Cloud costs $99 a month, with each additional user at $49 a month; Enterprise pricing is custom.
SuperAnnotate
SuperAnnotate is infrastructure for AI teams building, evaluating, and improving datasets until they are ready for training. It handles RL environments, RLHF, image, video, audio, LiDAR, and custom modalities. Model-assisted workflows can pre-label data, judge rubrics, score pass rates, and route items between models and human experts. Teams can configure workflows, roles, quality gates, dashboards, and project or contributor analytics. Annotation types include classification, key points, bounding boxes, polygons, polylines, tiled imagery, cuboids, and skeletons. The platform offers a Python SDK and API, team collaboration, and integrations with AWS, Google Cloud, Azure, Snowflake, Databricks, and custom storage. External storage connections are read-only and do not automatically import new files. It runs through web, macOS, Windows, and API access. SuperAnnotate was founded in 2018 and is headquartered in Silicon Valley. Pricing is paid and available on request.