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Label Studio

Multi-modal data labeling and annotation platform for agent traces, LLM evals, RLHF, computer vision, document AI, NLP, audio transcription, and more.

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Label Studio is an open-source data labeling, multi-modal annotation, and artificial intelligence evaluation platform. The software supports human-in-the-loop workflows for machine learning dataset preparation and model alignment. The system accommodates diverse data modalities, including images, video tracking and segmentation, documents and text (OCR, named entity recognition, sentiment analysis), audio transcription, and time series data. It also provides dedicated modules for LLM evaluation, agentic trace inspection, side-by-side output benchmarking, and human preference collection for RLHF pipelines. The platform is designed for data scientists, machine learning engineers, AI researchers, and enterprise development teams. It is available as a free open-source software project alongside commercial enterprise and cloud offerings.