Label Studio
Featured Analysis
Label Studio is an open-source platform for data annotation, AI evaluation, and human-in-the-loop workflows.
Who it is for: Teams needing to organize data annotation and AI evaluation tasks, teams needing to design custom benchmarks, scoring criteria, and comparison processes, and teams needing to integrate projects, predictions, training, active learning, or evaluation workflows via API, Python SDK, and webhooks
Core capabilities
- Multimodal Data Annotation: The official website describes the product as supporting all data modalities and covering from training data to production environment AI evaluation.
- LLM and Agent Evaluation: The official website describes Agentic Traces, LLM Evaluations, and RAG & Retrieval QA.
- RLHF and Preference Data: The official website describes RLHF & Fine-Tuning as collecting human preferences, correcting, and ranking.
- Programmable Workflow Interfaces: The official website describes customizable layouts and templates that can be adapted to data, tasks, and evaluation criteria, and provides API, Python SDK, and webhooks.
- Annotation and AI Ecosystem Integration: The official website's integration directory lists categories such as cloud storage, foundational model APIs, vision, NLP, OCR, speech, AI evaluation, and observability.
Pricing
The current price signal on the official website is $150 · $16 · free; existing excerpts do not clarify which values correspond to specific plans, periods, or billing units. The $150, $16,000, and ~15% figures in the Yext case are single-project estimates and not the product's official pricing.
Updated 2026-08-18