Labelbox
Data-labeling platform and on-demand labeling services for AI
The most popular open-source data labeling platform for text, image, audio, and more
Label Studio is HumanSignal's popular open-source data labeling platform for text, image, audio, video, and time series, free to self-host with managed cloud and enterprise tiers.
Label Studio is an open-source, multi-type data labeling tool used by a very large community of AI practitioners to create and refine training data. It handles many data modalities, including text, images, audio, video, and time series, and offers a configurable labeling interface plus a REST API exposing projects, tasks, annotations, predictions, storage, webhooks, and review workflows. Teams use it both to label raw data and to improve existing datasets, and increasingly to prepare data for fine-tuning LLMs and evaluating model outputs. The Community Edition is fully open source and free to self-host with all core labeling features, which has made it a default choice for data-centric ML teams. HumanSignal, the company behind it, also offers a managed Starter Cloud plan and an Enterprise edition that adds role-based access control, SSO, SOC 2 compliance, advanced analytics, workspaces, quality-assurance workflows, reviewer assignments, and SLAs. This tiering lets small teams start free and scale into governed, collaborative labeling operations.
Label Studio is HumanSignal's popular open-source data labeling platform for multi-modal data, free to self-host with managed cloud and enterprise governance tiers.
Label Studio is the flagship open-source project of HumanSignal, used by a very large community of AI practitioners to label and refine training data. It has become a de facto standard for flexible, self-hostable annotation.
HumanSignal commercializes the project through a managed cloud and an Enterprise edition, funding continued open-source development while serving teams that need governance and scale.
Label Studio supports text, image, audio, video, and time series labeling with a configurable interface and a REST API covering projects, tasks, annotations, predictions, and review workflows. ML backends enable pre-labeling.
The Community Edition is free to self-host, while Enterprise adds RBAC, SSO, SOC 2 compliance, analytics, workspaces, and QA workflows for governed labeling operations.
Data-centric ML and AI teams that need flexible, self-hostable labeling for training data preparation, model evaluation, and human feedback across modalities.
Data scientists, annotators, and ML engineers.
Heads of ML and data operations.
MLOps and data engineering leads.
ML teams building or refining datasets who want open-source labeling with an optional governed enterprise tier.
HumanSignal is venture-backed; specific figures should be verified with the vendor.
Yes. The Community Edition is fully open source and free to self-host with all core labeling features.
It supports text, images, audio, video, and time series, among other modalities, with a configurable labeling interface.
It is built and supported by HumanSignal, along with a large community of AI practitioners.
Enterprise adds RBAC, SSO, SOC 2 compliance, advanced analytics, workspaces, QA workflows, reviewer assignments, and SLAs.
Yes. You can connect ML backends to generate predictions that annotators then review and correct.
Side-by-side pages for pricing, features, and best-fit use cases.
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