Best Labelme Alternatives in 2026
The top Labelme alternatives are Pixano, CVAT and Roboflow: 15 image annotation software our editors would look at instead of Labelme, in our ranking order.
Labelme: A capable offline annotator for AI-assisted labeling, batch tools, and dataset exports. Where it falls short: no collaboration features.
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Best forOpen-source teams needing 2D and 3D annotation
A flexible open-source choice for teams annotating 2D and 3D vision datasets.
- API access
9.0/10★★★★☆Visit Pixano -
Best forOpen-source teams needing a complete CV workflow
A broad CV workflow spanning manual, AI-assisted, collaborative, and programmatic annotation.
- Team collaboration
- API access
9.0/10★★★★☆Visit CVAT -
Best forTeams needing annotation plus model deployment
A broad image annotation and deployment platform with a free public tier and paid private-data plans.
- Team collaboration
- API access
8.4/10★★★★☆Visit Roboflow -
Best forTeams wanting flexible open-source annotation
Flexible image annotation with open-source deployment, AI assistance, and broad exports.
- Team collaboration
- API access
8.3/10★★★★☆Visit Label Studio -
Best forML teams combining annotation and model evaluation
A broad open-source platform for annotation, dataset curation, and model evaluation.
- Team collaboration
- API access
7.9/10★★★★☆Visit FiftyOne -
Best forLarge teams needing managed AI labeling
A broad labeling and model-development platform with free access and paid team features.
- Team collaboration
- API access
7.9/10★★★★☆Visit Supervisely -
Best forTeams annotating medical and video imagery
A broad annotation platform for teams building computer-vision and medical-imaging datasets.
- Team collaboration
- API access
7.4/10★★★★☆Visit V7 Darwin -
Best forYOLO-focused teams needing integrated workflows
A YOLO-focused workspace combining annotation, datasets, training, deployment, and collaboration.
- Team collaboration
- API access
6.8/10★★★☆☆Visit Ultralytics -
Best forQuality-focused enterprise annotation programs
A broad annotation and data-quality platform for enterprise AI programs.
- Team collaboration
- API access
6.7/10★★★☆☆Visit Encord -
Best forTeams needing review-heavy multimodal labeling
A broad annotation platform for teams that need structured review and multimodal labeling.
- Team collaboration
- API access
6.7/10★★★☆☆Try Kili Technology -
Best forTeams wanting active learning and many exports
A capable image annotation platform for teams that need automation, APIs, and export choice.
- Team collaboration
- API access
6.7/10★★★☆☆Visit Labellerr -
Best forTeams prioritizing quality control and data curation
A quality-focused image annotation platform with curation, model assistance, and cloud integrations.
- Team collaboration
- API access
6.6/10★★★☆☆Visit Labelbox -
Best forEnterprise teams needing curated image datasets
A broad annotation and dataset platform for enterprise teams building curated image data.
- Team collaboration
- API access
6.6/10★★★☆☆Visit SuperAnnotate -
Best forTeams labeling 3D and multi-sensor data
A focused annotation platform for image, sequence, point-cloud, and sensor-fusion workflows.
- Team collaboration
- API access
6.6/10★★★☆☆Visit Segments.ai -
Best forTeams needing broad, affordable annotation coverage
A broad annotation platform with multimodal coverage, model assistance, APIs, and private deployment.
- Team collaboration
- API access
6.6/10★★★☆☆Visit BasicAI
Labelme Alternatives: Common Questions
What is the best alternative to Labelme?
Pixano: #1 in our Image Annotation Software ranking, with an editor score of 9.0 out of 10. A flexible open-source choice for teams annotating 2D and 3D vision datasets.
Is there a free alternative to Labelme?
Yes. Pixano, CVAT, Roboflow, Label Studio and FiftyOne have a free plan or a free tier (11 of the 15 alternatives on this page).
What is the cheapest paid alternative to Labelme?
Of the alternatives here that publish a price, BasicAI starts lowest, at $9/user/mo.
Labelme vs Each Alternative
| # | Tool | Free plan | Paid from | Annotation types | Image formats | Model-assisted labeling | Dataset export | Score |
|---|---|---|---|---|---|---|---|---|
| 18 | Labelme | Yes | — | polygons, rectangles, oriented rectangles, circles, lines, points, masks, rich attributes | PNG, JPEG, BMP, TIFF | Yes | Labelme JSON, YOLO, YOLO-OBB, Pascal VOC, masks, visualizations | 6.0 |
| 1 | Pixano | Yes | None | bounding boxes, polygons, pixel masks, keypoints, cuboids, classification, tracking | JPEG, PNG | Yes | COCO, Pixano annotation format | 9.0 |
| 2 | CVAT | Yes | $23/user/mo | Rectangle/bounding box, polygon, polyline, points, ellipse, cuboid, skeleton, tag, brush/mask | JPEG, PNG, BMP, GIF, PPM, TIFF | Yes | CVAT XML, Datumaro JSON, COCO JSON, YOLO, Pascal VOC, Cityscapes, KITTI, Open Images, MOT, and others | 9.0 |
| 3 | Roboflow | Yes | — | bounding boxes, polygons, segmentation masks, classification labels, keypoints | JPG, PNG, WEBP, AVIF, BMP | Yes | JSON, XML, CSV, TXT, and 30+ additional formats | 8.4 |
| 4 | Label Studio | Yes | — | rectangles, ellipses, keypoints, polygons, brush masks, image classification | — | Yes | JSON, JSON_MIN, CSV, TSV, COCO, Pascal VOC XML, YOLO, PNG, NumPy | 8.3 |
| 5 | FiftyOne | — | None | bounding boxes; polygons; segmentation masks; classifications; polylines; SAM2 click-to-segment instance segmentation | JPEG; PNG; BMP | Yes | COCO; image directory; image classification directory tree; FiftyOne dataset; Python/CLI export | 7.9 |
| 6 | Supervisely | Yes | — | rectangle, line/polyline, polygon, multipolygon, point, bitmap mask, graph/keypoints, alpha mask, 2D cuboid | .jpg, .jpeg, .mpo, .bmp, .png, .webp, .tiff, .tif, .jfif, .avif, .heic, .heif | Yes | Supervisely Format, COCO, Pascal VOC, YOLOv8, DOTA, Cityscapes, Amazon S3, Google Cloud Storage, Microsoft Azure, S3-compatible storage | 7.9 |
| 7 | V7 Darwin | Yes | — | Polygon; bounding box; tag; skeleton; keypoint; line; ellipse; mask; attributes; text; directional vector; instance ID | .jpg, .jpeg, .webp, .png, .bmp, .svs, .tif, .tiff, .qtiff, .dcm, .rvg, .nii, .nii.gz, .ndpi | Yes | Darwin JSON; Darwin XML; COCO; CVAT; YOLO; Semantic PNG; Instance PNG; Pascal VOC; NIfTI | 7.4 |
| 8 | Ultralytics Platform | Yes | $29/user/mo | detection; instance segmentation; semantic segmentation; classification; pose estimation; oriented bounding boxes | JPEG; PNG; WebP; TIFF; HEIC; AVIF; BMP; JP2; DNG; MPO | Yes | Ultralytics NDJSON | 6.8 |
| 9 | Encord | No | — | bounding boxes, rotatable bounding boxes, polygons, bitmasks, polylines, keypoints, primitives, classifications | — | Yes | JSON, COCO | 6.7 |
| 10 | Kili Technology | No | — | bounding boxes, polygons, semantic segmentation, pose estimation, named entity recognition, classification | PNG, JPEG/JPG, GIF, BMP, WebP, ICO, JP2, NTF, TIFF/TIF, GeoTIFF | Yes | Kili, YOLO v4, YOLO v5, YOLO v7, YOLO v8, Pascal VOC, COCO, GeoJSON | 6.7 |
| 11 | Labellerr | Yes | — | Bounding box, polygon, polyline, keypoint, dot, classification, segmentation, object detection | JPG, JPEG, PNG, BMP, TIFF | Yes | COCO JSON, YOLO, Pascal VOC XML, CSV, custom formats | 6.7 |
| 12 | Labelbox | Yes | — | bounding boxes, segmentation masks, image classification, radio classification | JPEG | Yes | JSON, NDJSON, CSV, BigQuery, Databricks | 6.6 |
| 13 | SuperAnnotate | — | — | classification, key-point, bounding box, polygon, polyline, tiled imagery, cuboid, skeleton | .jpg, .jpeg, .png, .gif, .bmp, .webp, .svg | Yes | SuperAnnotate JSON, SuperAnnotate JSONL, SuperAnnotate CSV | 6.6 |
| 14 | Segments.ai | No | — | segmentation, bounding box, polygon, polyline, keypoint, cuboid | jpeg, png, bmp | Yes | JSON, PyTorch, TensorFlow, Hugging Face | 6.6 |
| 15 | BasicAI | Yes | $9/user/mo | object detection, object tracking, bounding boxes, polygons, polylines, keypoints, classification, semantic segmentation, instance segmentation, panorama segmentation | JPG, JPEG, PNG, BMP, TIFF, WebP | Yes | BasicAI Image Format, COCO, Pascal VOC XML, YOLO, cloud storage | 6.6 |
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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