doccano suits teams and practitioners who need to label data for machine-learning or human review workflows.
Free plan Open source AndroidiPhone & iPadWebWindowsMacLinux+2
Best AI Data Labeling Tools 2026
Preparing labeled data for AI work calls for choices about data types, labeling assistance, and review. Compare supported modalities with model-assisted labeling and human review workflows to assess how tools address annotation tasks. Custom ontologies can be another consideration for organizing labels, while API access and deployment options help frame integration and setup. Free-plan availability and paid-from pricing round out the comparison. Roboflow, Label Studio, and CVAT are among the options, alongside Argilla and doccano. Consider the kinds of data you need to label and how people will review the results, then weigh those requirements against the listed capabilities and cost information.
02
Roboflow
Roboflow is intended for developers and enterprises building computer vision applications.
AndroidiPhone & iPadWeb+4 Record6.1 Visit
03
Label Studio
It suits teams labeling varied dataset types or connecting labeling workflows to machine-learning backends.
WebWindowsMac+3 Record5.8 Visit
04
VGG Image Annotator
VIA may suit researchers, academic projects, and commercial applications that need manual annotation of images, audio, or video.
WebWindowsMac+2 Record5.6 Visit
05
CVAT
CVAT suits individuals and teams preparing labeled datasets for AI work, particularly those needing review workflows, storage integrations, or deployment choices.
WebAPISelf-hosted Record5.0 Visit
6
Supervisely
WebAPISelf-hosted €199 a month Record5.0 Visit The Community plan is described for open-source projects, individuals, ML researchers, and small teams.
7
Alibaba Cloud PAI iTAG
WebWindowsLinux+1 Free plan Record4.8 Visit It suits teams labeling image, text, video, audio, or multimodal data in Alibaba Cloud OSS.
8
BRAT
WebMacLinux+1 Free plan Record4.7 Visit brat suits teams doing structured text annotation that need configurable labels, concurrent work, and exportable visualizations.
9
Prodigy
WebWindowsMac+3 $390 one-time Record4.7 Visit Prodigy suits developers and data teams building labeled datasets for machine-learning systems.
10
Argilla
WebLinuxAPI+1 Free plan Record4.6 Visit It suits AI teams that need domain experts to label, rate, rank, or comment on datasets.
11
LabelU
WebWindowsMac+2 Free plan Record4.6 Visit LabelU suits teams annotating multiple data types for analysis or model training, especially those wanting self-hosted deployment and model-assisted labeling.
12
Intellisane Annotation Platform
WebAPI Free plan Record4.5 Visit It suits teams preparing varied data types for AI applications, including self-driving, robotics, finance, medical, and legal systems.
14
Labelbox
WebAPI Free plan Record4.3 Visit It suits AI labs and enterprises building training datasets, evaluations, reinforcement learning environments, or agent workflows.
15
V7 Darwin
WebAPI Free plan Record4.3 Visit It suits teams preparing varied datasets for AI models, especially those needing structured reviews, model-assisted labeling, or cloud integrations.
16
Dataloop
WebWindowsMac+2 — Record4.2 Visit Dataloop suits data engineers, data scientists, software engineers, AI leaders, and human reviewers building collaborative AI workflows.
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SuperAnnotate
WebWindowsMac+1 — Record4.0 Visit It suits AI teams managing multimodal annotation, evaluation, and data operations.
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