The Best Data Labeling Software in 2026
We researched data labeling software through official vendor websites, including pricing pages, plan tables, and product documentation. Products are ranked on their core annotation capabilities, value for money, and verified features across supported data types, workflows, integrations, and deployment options.
Our top picks
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Top ranked
Argilla#1 of 249.4/10A free, open-source option for teams labeling text and multimodal AI data.
Free plan
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Runner-up
Potato#2 of 249.2/10A broad self-hosted labeling platform for multimodal datasets and model-assisted workflows.
Free plan
-
Top-ranked free plan
CVAT#3 of 249.1/10CVAT combines broad annotation tools, AI assistance, collaboration, and open-source deployment.
Free plan
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
The full ranking 24 tools, best first
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Best forOpen-source teams labeling text and multimodal data
A free, open-source option for teams labeling text and multimodal AI data.
- Text annotation
- API or SDK access
- Review workflow
9.4/10★★★★★Visit Argilla -
Best forTeams needing broad, self-hosted multimodal labeling
A broad self-hosted labeling platform for multimodal datasets and model-assisted workflows.
- Text annotation
- API or SDK access
- Review workflow
9.2/10★★★★★Visit Potato -
Best forComputer-vision teams needing flexible annotation
CVAT combines broad annotation tools, AI assistance, collaboration, and open-source deployment.
9.1/10★★★★★Visit CVAT -
Best forAffordable computer-vision and 3D labeling
A broad annotation platform with 2D, 3D, multimodal, QA, and API workflows.
8.9/10★★★★☆Visit BasicAI -
Best forEnterprise multimodal data operations
A broad, enterprise-oriented workspace for multimodal labeling and AI data operations.
8.8/10★★★★☆Visit Dataloop -
Best forEnterprise teams labeling diverse data types
A broad labeling platform with ML assistance, review workflows, and enterprise deployment options.
- Text annotation
- API or SDK access
- Review workflow
8.7/10★★★★☆Visit Datasaur -
Best forFlexible open-source labeling with custom interfaces
A flexible labeling platform for teams that need custom workflows and open-source control.
8.6/10★★★★☆Visit Label Studio -
Best forQuality-focused enterprise multimodal annotation
A quality-focused platform for multimodal annotation, curation, and model evaluation.
8.5/10★★★★☆Visit Encord -
Best forStructured enterprise annotation with review workflows
A strong fit for enterprise teams managing varied data and multi-step review.
8.4/10★★★★☆Visit Kili -
Best forFree self-hosted text and image annotation
A broad, self-hosted annotation platform for text, images, and speech-to-text projects.
- Text annotation
- API or SDK access
- Review workflow
8.3/10★★★★☆Visit Doccano -
Best forComputer-vision teams needing training and deployment
A broad computer-vision workspace spanning annotation, model training, and deployment.
8.2/10★★★★☆Visit Roboflow -
Best forNLP and multimodal teams using active learning
A flexible active-learning workspace for ML teams, with paid licensing and local deployment.
- Text annotation
- API or SDK access
- Review workflow
8.1/10★★★★☆Visit Prodigy -
Best forOpen-source dataset curation and vision labeling
A broad open-source workspace for curating, labeling, reviewing, and exporting vision data.
- API or SDK access
- Review workflow
- Image annotation
8.0/10★★★★☆Visit LightlyStudio -
Best forEnterprise vision teams with complex review needs
A broad annotation platform for complex computer-vision and medical-imaging workflows.
7.9/10★★★★☆Visit V7 Darwin -
Best forAutonomous-driving and 3D sensor projects
A broad annotation platform for complex autonomous-driving and robotics datasets.
- API or SDK access
- Review workflow
- Image annotation
7.8/10★★★★☆Visit Deepen AI -
Best forEnterprise computer-vision annotation operations
A multimodal labeling platform with strong computer-vision and dataset operations.
7.7/10★★★★☆Visit SuperAnnotate -
Best forEnterprise image labeling and dataset curation
A strong fit for enterprise image labeling, curation, and quality control.
7.6/10★★★★☆Visit Labelbox -
Best forVision teams needing training and deployment tools
A broad vision labeling platform with AI assistance, QA, training, and deployment tools.
7.5/10★★★★☆Visit Supervisely -
Best forAWS-centric enterprise labeling pipelines
A broad AWS labeling service for existing customers with complex ML workflows.
- Text annotation
- API or SDK access
- Review workflow
7.3/10★★★★☆Visit AWS -
Best for3D and multi-sensor annotation teams
A focused annotation platform for image sequences, point clouds, and sensor-fusion workflows.
7.2/10★★★★☆Visit Segments.ai -
Best forOpen-source image, video, and audio projects
A flexible self-hosted choice for image, video, and audio dataset annotation.
- Image annotation
- Audio/video annotation
7.0/10★★★★☆Visit LabelU -
Best forSmall teams needing simple free image labeling
A free, open-source image-labeling tool for small computer-vision projects.
6.9/10★★★☆☆Visit MakeSense.ai -
Best forOffline desktop image annotation
A capable offline image annotator for private computer-vision workflows.
- Review workflow
- Image annotation
- Audio/video annotation
6.8/10★★★☆☆Visit Labelme -
Best forSimple offline manual annotation
A free, open-source browser tool for offline manual annotation across images, video, and audio.
6.7/10★★★☆☆Visit VIA
No tools match those filters.
Compare at a glance
| # | Tool | Free plan | Paid from | Model-assisted labeling | Score |
|---|---|---|---|---|---|
| 1 | Argilla | Yes | Free | Yes | 9.4 |
| 2 | Potato | Yes | Free | Yes | 9.2 |
| 3 | CVAT | Yes | $23/mo | Yes | 9.1 |
| 4 | BasicAI | Yes | $9/seat/mo | Yes | 8.9 |
| 5 | Dataloop | Yes | 8.8 | ||
| 6 | Datasaur | Yes | $5,000/yr | Yes | 8.7 |
| 7 | Label Studio | Yes | Yes | 8.6 | |
| 8 | Encord | No | Yes | 8.5 | |
| 9 | Kili Technology | No | Yes | 8.4 | |
| 10 | Doccano | Free | Yes | 8.3 | |
| 11 | Roboflow | Yes | $79/mo | Yes | 8.2 |
| 12 | Prodigy | No | Yes | 8.1 | |
| 13 | LightlyStudio | Yes | Free | Yes | 8.0 |
| 14 | V7 Darwin | Yes | Yes | 7.9 | |
| 15 | Deepen AI | Yes | 7.8 | ||
| 16 | SuperAnnotate | Yes | 7.7 | ||
| 17 | Labelbox | Yes | Yes | 7.6 | |
| 18 | Supervisely | Yes | €199/mo | Yes | 7.5 |
| 19 | Amazon SageMaker Ground Truth | No | Yes | 7.3 | |
| 20 | Segments.ai | No | Yes | 7.2 | |
| 21 | LabelU | Free | Yes | 7.0 | |
| 22 | MakeSense.ai | Yes | Free | Yes | 6.9 |
| 23 | Labelme | Yes | $49 one-time | Yes | 6.8 |
| 24 | VGG Image Annotator | Yes | Free | No | 6.7 |
Head-to-head All 16 comparisons →
- Argilla vs Potato
- Argilla vs CVAT
- Argilla vs BasicAI
- Argilla vs Dataloop
- Argilla vs Datasaur
- Argilla vs Label Studio
- Argilla vs Encord
- Potato vs CVAT
- Potato vs BasicAI
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How we rank data labeling software
Every tool on this page was researched by iTechGuides Editors from its official website — pricing pages, plan tables and product documentation. We rank on how well each one does this category's core job, what the free or entry plan includes, and where it falls short. Where we have enough verified facts, the score out of 10 is a rubric — job fit, value and how much we could verify — shown with its breakdown on every tool's page; a tool we have not verified enough to score yet shows its rank without a number. Scores are re-checked when a product changes its plans. Read the full editorial policy, or submit a tool we missed.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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