Who should use Label Studio?

It is best for ML teams, researchers, AI companies, and data teams that need customizable annotation and human-feedback workflows.

What data can Label Studio annotate?

It supports many modalities including text, images, audio, video, documents, time series, and other machine-learning data types.

Can Label Studio evaluate AI models?

Yes. Teams can use annotation and human-feedback workflows to create evaluation datasets and measure model outputs.

Is Label Studio open source?

Yes. Label Studio provides an open-source edition with additional enterprise and managed capabilities available separately.

What should teams consider?

Plan annotation guidelines, reviewer quality, dataset security, scaling, integrations, and labeling costs before large projects.

Label Studio

Name: Label Studio
Brand: Label Studio

Open-source data labeling platform for AI training, evaluation, and review.

Visit Website

What is Label Studio?

TL;DR

Label Studio is an open-source data labeling platform for preparing training and evaluation datasets across text, images, audio, video, documents, and other AI data types with flexible human review workflows.

Open-source platform for labeling text, images, audio, video, and more
Supports human review, annotation, and dataset workflows
Useful for model training, evaluation, QA, and RLHF pipelines

Explore with AI

About

Labe. Studi.\n\n. a.\n\nopen. ourc.\n\ndat. labelin. platfor. fo. creating. reviewing. an. managin. trainin. dat. fo. A. an. machin. learnin. . te. . Tea. . . i. t. labe. text. imag. . audio. video. tim. eri. . documen. . an. othe. dat. typ. fo. mode. training. evaluation. huma. review. an. qualit. workflo. . Th. platfor. . . efu. fo. Saa. founde. an. A. tea. tha. nee. bette. dat. e. . human-in-the-loo. review. RLHF. tyl. workflo. . cl. ificatio. labe. . extractio. validation. compute. v. io. annotation. an. evaluatio. dat. fo. LL. o. M. produc. . I. provid. flexibl. labelin. interfac. an. ca. connec. t. broade. machin. learnin. pipelin. . Labe. Studi. . availabl. . open. ourc. oftware. wit. enterpr. . an. clou. optio. fo. tea. tha. nee. collaboration. ecurity. . e. management. an. larger. cal. workflo. . Th. mak. i. relevan. fo. earl. builde. an. organizatio. movin. int. productio. A. dat. operatio. . Fo. FutureStack. Labe. Studi. belon. i. Develope. Too. beca. . dat. qualit. . . majo. bottlenec. i. erio. A. . te. . I. . b. . fo. develope. . founde. . an. A. tea. buildin. c. to. mode. . evaluatio. e. . annotatio. workflo. . an. huma. revie. pipelin. .

Use Cases

AI Data Labeling

Create annotation projects for text, images, audio, video, documents, and other machine-learning datasets.

Human Feedback

Collect human judgments and corrections to improve model outputs and evaluation datasets.

Model Evaluation

Use labeled examples and review workflows to measure AI performance against defined criteria.

Training Data Prep

Prepare high-quality labeled datasets for supervised learning, fine-tuning, and computer vision or language models.

Key Features

Open-source platform for labeling text, images, audio, video, and more
Supports human review, annotation, and dataset workflows
Useful for model training, evaluation, QA, and RLHF pipelines
Enterprise options for teams, security, and collaboration

Featured Tools

Wispr Flow

Voice-First Dictation

We may earn commissions from links to support our work. Learn more.