Label Studio

Label Studio is an open-source data labeling and AI evaluation platform for machine learning teams. It offers a free self-hosted Community Edition, Starter Cloud from $99/month, $49/month additional users up to 12 users, and custom-priced Enterprise plans for security, compliance, support, and larger deployment requirements.

Label Studio is built for teams that need to turn raw text, images, audio, video, time-series data, or model outputs into structured training and evaluation datasets. HumanSignal, the company behind Label Studio, describes it as a multimodal labeling platform with a configurable labeling interface, role-based access control on paid cloud plans, quality review workflows, automated task distribution, and enterprise controls such as SAML or LDAP single sign-on, activity logs, granular access controls, support SLAs, and SOC2 and HIPAA compliant cloud or on-prem deployment options.

Five concrete current data points help frame the product. First, Label Studio is available in 3 editions: Community Edition, Starter Cloud, and Enterprise. Second, Community Edition is open source and self-hosted. Third, Starter Cloud starts at $99/month. Fourth, additional Starter Cloud users are listed at $49/month with a limit of up to 12 users. Fifth, HumanSignal states that Label Studio is used, built, and supported by more than 1,000,000 AI practitioners. A sixth freshness point is that Label Studio 1.21.0 was announced on March 13, 2026 with pixel-perfect annotation, custom hotkeys, and smarter audio/video tools.

The product is strongest when labeling is part of a repeatable ML workflow rather than a one-time manual exercise. Teams can use it to define labeling interfaces, distribute annotation work, review outputs, evaluate model responses with human judgment, and maintain datasets used for training, fine-tuning, benchmarking, or quality monitoring. Its AI evaluation positioning also makes it useful for comparing model outputs, collecting rubric-based reviews, and keeping traceable human decisions around model quality.

Because Label Studio spans open-source self-hosting and commercial managed offerings, it can fit different adoption paths. Technical teams can start with Community Edition for local or infrastructure-controlled labeling. Small teams that want hosted operations can use Starter Cloud. Regulated or larger organizations can evaluate Enterprise when they need SSO, access controls, auditability, compliance posture, deployment flexibility, support SLAs, and quality or workforce management at scale.