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Best AI Data Labeling Tools in 2026
For preparing data used in machine-learning work, labeling tools can differ in the material they support and the steps they offer for review. Compare doccano, Label Studio and Alibaba Cloud PAI iTAG alongside the other entries. Supported modalities and model-assisted labeling help you assess the listed annotation capabilities, while human review workflows and custom ontologies may matter to your process. Also check…
Label Studio is an open-source data labeling platform for text, images, audio, video, time series, and multimodal data.
doccano is a free, open-source tool for labeling text and other data for human review and machine-learning work.
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VGG Image Annotator
VGG Image Annotator (VIA) is a suite of lightweight tools for manually labeling images, audio and video.
Free planOpen sourceWebLinuxmacOSSelf-hosted7.7Free plan - 5
Prodigy
Prodigy is a developer tool and Python library for building training and evaluation data for machine learning models.
WebAPILinuxmacOS7.0$390 one-time - 6

CVAT
CVAT is a platform for turning images, video, 3D data, and audio into labeled datasets for AI workflows.
Free planWebAPISelf-hosted6.9Free plan - 7
Supervisely
Supervisely is a computer-vision platform for organizing data, labeling images, video, LiDAR, and medical imagery, and developing models for production.
Free planWebAPISelf-hosted6.9From €199 a month - 8
Alibaba Cloud PAI iTAG
Alibaba Cloud PAI iTAG is a data-labeling platform for image, text, video, audio, and multimodal data.
Free planWebAPILinuxWindows6.2Free plan - 9

Argilla
Argilla is a collaboration tool for AI engineers and domain experts building datasets with human feedback.
Free planWebAPILinuxSelf-hosted6.2Free plan - 10
BRAT
brat is a free, open-source tool for structured text annotation, designed for annotations in fixed forms that computers can process.
Free planWebLinuxmacOSSelf-hosted6.1Free plan - 11
LabelU
LabelU is an open-source platform for annotating image, video, and audio data, intended for work that supports complex data analysis and model training.
WebAPImacOSSelf-hosted6.1 - 12

BasicAI
BasicAI is a multimodal annotation platform, with managed services, for preparing AI training data.
WebAPISelf-hosted6.0From $6,600 a year - 13

Dataloop
Dataloop is a web-based platform for annotating image datasets, with model-assisted labeling and collaboration for teams.
WebAPILinuxmacOS6.0 - 14
Intellisane Annotation Platform
Intellisane Annotation Platform is a cloud service for labeling image, video, audio, text, and 3D point-cloud data for AI training.
Free planWebAPI6.0Free plan - 15

Labelbox
Labelbox provides tools and services for AI training data, reinforcement learning environments, evaluations, and enterprise agent workflows.
WebAPI6.0 - 16

Kili Technology
Kili Technology is an expert-in-the-loop platform for creating, reviewing, and evaluating AI data, including training and ground-truth datasets.
WebAPISelf-hosted5.9 - 17

SuperAnnotate
SuperAnnotate provides infrastructure for AI teams to create, evaluate, and improve data across modalities until datasets are ready for training.
WebAPImacOSWindows5.9 - 18

Encord
Encord is a paid multimodal data infrastructure layer for AI teams, covering work from pre-training and post-training through deployment.
WebAPISelf-hosted5.6 - 19
MoniSa DataOps
MoniSa DataOps supports planning, annotation, and review for multilingual AI data projects across text, image, audio, and video.
5.6 - 20

V7 Darwin
V7 Darwin is a web and API data-labeling platform for building training datasets for AI models.
WebAPI5.6 - 214.8
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LabelLLM
Web4.6

