# Top 10 CVAT.ai Alternatives & Competitors
**Average Rating:** 4.6/5
**Total Number of Reviews:** 27
The Data Labeling Software solutions below are the most common alternatives that users and reviewers compare with CVAT.ai. Other important factors to consider when researching alternatives to CVAT.ai include tasks and features. The best overall CVAT.ai alternative is SuperAnnotate. Other similar apps like CVAT.ai are Prolific, Roboflow, Labelbox, and V7 Darwin. CVAT.ai alternatives can be found in [Data Labeling Software](https://www.g2.com/categories/data-labeling) but may also be in [User Research Tools](https://www.g2.com/categories/user-research) or [Image Recognition Software](https://www.g2.com/categories/image-recognition).


## Best Paid & Free Alternatives to CVAT.ai
  - [SuperAnnotate](https://www.g2.com/products/superannotate/reviews)
  - [Prolific](https://www.g2.com/products/prolific/reviews)
  - [Roboflow](https://www.g2.com/products/roboflow/reviews)
  - [Labelbox](https://www.g2.com/products/labelbox/reviews)
  - [V7 Darwin](https://www.g2.com/products/v7-darwin/reviews)
  - [Dataloop](https://www.g2.com/products/dataloop-dataloop/reviews)
  - [Encord](https://www.g2.com/products/encord/reviews)
  - [Clarifai](https://www.g2.com/products/clarifai/reviews)
  - [Kili](https://www.g2.com/products/kili/reviews)
  - [Keymakr](https://www.g2.com/products/keymakr/reviews)

## Top 10 Alternatives to CVAT.ai Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how CVAT.ai stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Research, and Education Management, and find the best product for your business.


  ### 1. [SuperAnnotate](https://www.g2.com/products/superannotate/reviews)
By SuperAnnotate
**Average Rating:** 4.8/5
**Total Reviews:** 379
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.


Reviewers say compared to CVAT.ai, SuperAnnotate is:
- More usable
- Easier to set up
- Better at support
Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs SuperAnnotate](https://www.g2.com/compare/cvat-ai-vs-superannotate)
**Compare SuperAnnotate with other alternatives:**
- [SuperAnnotate vs Prolific](https://www.g2.com/compare/prolific-vs-superannotate)
- [SuperAnnotate vs Roboflow](https://www.g2.com/compare/roboflow-vs-superannotate)
- [SuperAnnotate vs Labelbox](https://www.g2.com/compare/labelbox-vs-superannotate)
- [SuperAnnotate vs V7 Darwin](https://www.g2.com/compare/superannotate-vs-v7-darwin)
- [SuperAnnotate vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-superannotate)
- [SuperAnnotate vs Encord](https://www.g2.com/compare/encord-vs-superannotate)
- [SuperAnnotate vs Clarifai](https://www.g2.com/compare/clarifai-vs-superannotate)
- [SuperAnnotate vs Kili](https://www.g2.com/compare/kili-vs-superannotate)
- [SuperAnnotate vs Keymakr](https://www.g2.com/compare/keymakr-vs-superannotate)

  ### 2. [Prolific](https://www.g2.com/products/prolific/reviews)
By Prolific
**Average Rating:** 4.6/5
**Total Reviews:** 237
We help facilitate a higher standard of online research. Conduct research with 130,000+ vetted participants and gain insights you can rely on.


Reviewers say compared to CVAT.ai, Prolific is:
- More usable
Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs Prolific](https://www.g2.com/compare/cvat-ai-vs-prolific)
**Compare Prolific with other alternatives:**
- [Prolific vs SuperAnnotate](https://www.g2.com/compare/prolific-vs-superannotate)
- [Prolific vs Roboflow](https://www.g2.com/compare/prolific-vs-roboflow)
- [Prolific vs Labelbox](https://www.g2.com/compare/labelbox-vs-prolific)
- [Prolific vs V7 Darwin](https://www.g2.com/compare/prolific-vs-v7-darwin)
- [Prolific vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-prolific)
- [Prolific vs Encord](https://www.g2.com/compare/encord-vs-prolific)
- [Prolific vs Clarifai](https://www.g2.com/compare/clarifai-vs-prolific)
- [Prolific vs Kili](https://www.g2.com/compare/kili-vs-prolific)
- [Prolific vs Keymakr](https://www.g2.com/compare/keymakr-vs-prolific)

  ### 3. [Roboflow](https://www.g2.com/products/roboflow/reviews)
By Roboflow
**Average Rating:** 4.7/5
**Total Reviews:** 149
Extract, transform, load for computer vision. Your datasets in every format. Balanced, labeled, versioned.


Reviewers say compared to CVAT.ai, Roboflow is:
- More usable
- Easier to set up
Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs Roboflow](https://www.g2.com/compare/cvat-ai-vs-roboflow)
**Compare Roboflow with other alternatives:**
- [Roboflow vs SuperAnnotate](https://www.g2.com/compare/roboflow-vs-superannotate)
- [Roboflow vs Prolific](https://www.g2.com/compare/prolific-vs-roboflow)
- [Roboflow vs Labelbox](https://www.g2.com/compare/labelbox-vs-roboflow)
- [Roboflow vs V7 Darwin](https://www.g2.com/compare/roboflow-vs-v7-darwin)
- [Roboflow vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-roboflow)
- [Roboflow vs Encord](https://www.g2.com/compare/encord-vs-roboflow)
- [Roboflow vs Clarifai](https://www.g2.com/compare/clarifai-vs-roboflow)
- [Roboflow vs Kili](https://www.g2.com/compare/kili-vs-roboflow)
- [Roboflow vs Keymakr](https://www.g2.com/compare/keymakr-vs-roboflow)

  ### 4. [Labelbox](https://www.g2.com/products/labelbox/reviews)
By Labelbox
**Average Rating:** 4.5/5
**Total Reviews:** 48
A complete training data platform for AI.


Reviewers say compared to CVAT.ai, Labelbox is:
- More usable
Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs Labelbox](https://www.g2.com/compare/cvat-ai-vs-labelbox)
**Compare Labelbox with other alternatives:**
- [Labelbox vs SuperAnnotate](https://www.g2.com/compare/labelbox-vs-superannotate)
- [Labelbox vs Prolific](https://www.g2.com/compare/labelbox-vs-prolific)
- [Labelbox vs Roboflow](https://www.g2.com/compare/labelbox-vs-roboflow)
- [Labelbox vs V7 Darwin](https://www.g2.com/compare/labelbox-vs-v7-darwin)
- [Labelbox vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-labelbox)
- [Labelbox vs Encord](https://www.g2.com/compare/encord-vs-labelbox)
- [Labelbox vs Clarifai](https://www.g2.com/compare/clarifai-vs-labelbox)
- [Labelbox vs Kili](https://www.g2.com/compare/kili-vs-labelbox)
- [Labelbox vs Keymakr](https://www.g2.com/compare/keymakr-vs-labelbox)

  ### 5. [V7 Darwin](https://www.g2.com/products/v7-darwin/reviews)
By V7
**Average Rating:** 4.7/5
**Total Reviews:** 55
V7 Darwin is a data labeling platform used by AI developers who need to train specialized computer vision models. It supports diverse data types, including images, videos, and medical imaging formats like DICOM or WSI. The platform offers AI-assisted labeling, data management, and workflow orchestration tools to help companies, clinics, and research labs create high-quality training data for building sophisticated AI solutions. It is especially useful for managing complex review processes and real-time collaboration between multiple teams of annotators, engineers, and domain experts. V7 Darwin integrates with popular ML frameworks and infrastructure and maintains high security and compliance standards (SOC 2, HIPAA), which makes it suitable for industries such as healthcare, retail, security, and manufacturing.


Reviewers say compared to CVAT.ai, V7 Darwin is:
- More usable
- Easier to set up
- Better at support
Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs V7 Darwin](https://www.g2.com/compare/cvat-ai-vs-v7-darwin)
**Compare V7 Darwin with other alternatives:**
- [V7 Darwin vs SuperAnnotate](https://www.g2.com/compare/superannotate-vs-v7-darwin)
- [V7 Darwin vs Prolific](https://www.g2.com/compare/prolific-vs-v7-darwin)
- [V7 Darwin vs Roboflow](https://www.g2.com/compare/roboflow-vs-v7-darwin)
- [V7 Darwin vs Labelbox](https://www.g2.com/compare/labelbox-vs-v7-darwin)
- [V7 Darwin vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-v7-darwin)
- [V7 Darwin vs Encord](https://www.g2.com/compare/encord-vs-v7-darwin)
- [V7 Darwin vs Clarifai](https://www.g2.com/compare/clarifai-vs-v7-darwin)
- [V7 Darwin vs Kili](https://www.g2.com/compare/kili-vs-v7-darwin)
- [V7 Darwin vs Keymakr](https://www.g2.com/compare/keymakr-vs-v7-darwin)

  ### 6. [Dataloop](https://www.g2.com/products/dataloop-dataloop/reviews)
By Dataloop
**Average Rating:** 4.4/5
**Total Reviews:** 89
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.


Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs Dataloop](https://www.g2.com/compare/cvat-ai-vs-dataloop-dataloop)
**Compare Dataloop with other alternatives:**
- [Dataloop vs SuperAnnotate](https://www.g2.com/compare/dataloop-dataloop-vs-superannotate)
- [Dataloop vs Prolific](https://www.g2.com/compare/dataloop-dataloop-vs-prolific)
- [Dataloop vs Roboflow](https://www.g2.com/compare/dataloop-dataloop-vs-roboflow)
- [Dataloop vs Labelbox](https://www.g2.com/compare/dataloop-dataloop-vs-labelbox)
- [Dataloop vs V7 Darwin](https://www.g2.com/compare/dataloop-dataloop-vs-v7-darwin)
- [Dataloop vs Encord](https://www.g2.com/compare/dataloop-dataloop-vs-encord)
- [Dataloop vs Clarifai](https://www.g2.com/compare/clarifai-vs-dataloop-dataloop)
- [Dataloop vs Kili](https://www.g2.com/compare/dataloop-dataloop-vs-kili)
- [Dataloop vs Keymakr](https://www.g2.com/compare/dataloop-dataloop-vs-keymakr)

  ### 7. [Encord](https://www.g2.com/products/encord/reviews)
By Encord
**Average Rating:** 4.8/5
**Total Reviews:** 65
Machine learning and data operations teams of all sizes use Encord's collaborative applications, automation features, and APIs to annotate, manage, and evaluate their datasets for computer vision.


Reviewers say compared to CVAT.ai, Encord is:
- Better at support
- More usable
Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs Encord](https://www.g2.com/compare/cvat-ai-vs-encord)
**Compare Encord with other alternatives:**
- [Encord vs SuperAnnotate](https://www.g2.com/compare/encord-vs-superannotate)
- [Encord vs Prolific](https://www.g2.com/compare/encord-vs-prolific)
- [Encord vs Roboflow](https://www.g2.com/compare/encord-vs-roboflow)
- [Encord vs Labelbox](https://www.g2.com/compare/encord-vs-labelbox)
- [Encord vs V7 Darwin](https://www.g2.com/compare/encord-vs-v7-darwin)
- [Encord vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-encord)
- [Encord vs Clarifai](https://www.g2.com/compare/clarifai-vs-encord)
- [Encord vs Kili](https://www.g2.com/compare/encord-vs-kili)
- [Encord vs Keymakr](https://www.g2.com/compare/encord-vs-keymakr)

  ### 8. [Clarifai](https://www.g2.com/products/clarifai/reviews)
By Clarifai
**Average Rating:** 4.3/5
**Total Reviews:** 66
The hub of Clarifai’s technology is a high performance deep learning API on which a new generation of intelligent applications is being built. It enables Clarifai to combat everyday problems with high tech solutions by providing the most powerful machine learning systems to everyone in new and innovative ways.


Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs Clarifai](https://www.g2.com/compare/cvat-ai-vs-clarifai)
**Compare Clarifai with other alternatives:**
- [Clarifai vs SuperAnnotate](https://www.g2.com/compare/clarifai-vs-superannotate)
- [Clarifai vs Prolific](https://www.g2.com/compare/clarifai-vs-prolific)
- [Clarifai vs Roboflow](https://www.g2.com/compare/clarifai-vs-roboflow)
- [Clarifai vs Labelbox](https://www.g2.com/compare/clarifai-vs-labelbox)
- [Clarifai vs V7 Darwin](https://www.g2.com/compare/clarifai-vs-v7-darwin)
- [Clarifai vs Dataloop](https://www.g2.com/compare/clarifai-vs-dataloop-dataloop)
- [Clarifai vs Encord](https://www.g2.com/compare/clarifai-vs-encord)
- [Clarifai vs Kili](https://www.g2.com/compare/clarifai-vs-kili)
- [Clarifai vs Keymakr](https://www.g2.com/compare/clarifai-vs-keymakr)

  ### 9. [Kili](https://www.g2.com/products/kili/reviews)
By Kili Technology
**Average Rating:** 4.7/5
**Total Reviews:** 53
Today's challenge to train machine learning models is not to get the data itself - but to get the clean labelled data - to avoid having a "garbage in garbage out" loop. While current digital transformation by AI is powered by machine learning models, this process of data annotation becomes critical. Kili Technology serves as the training data solution to facilitate data annotation for image, video and text for various Computer Vision and NLP tasks with a robust tool to manage data quality and simplify collaboration.


Reviewers say compared to CVAT.ai, Kili is:
- Better at support
- More usable
Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs Kili](https://www.g2.com/compare/cvat-ai-vs-kili)
**Compare Kili with other alternatives:**
- [Kili vs SuperAnnotate](https://www.g2.com/compare/kili-vs-superannotate)
- [Kili vs Prolific](https://www.g2.com/compare/kili-vs-prolific)
- [Kili vs Roboflow](https://www.g2.com/compare/kili-vs-roboflow)
- [Kili vs Labelbox](https://www.g2.com/compare/kili-vs-labelbox)
- [Kili vs V7 Darwin](https://www.g2.com/compare/kili-vs-v7-darwin)
- [Kili vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-kili)
- [Kili vs Encord](https://www.g2.com/compare/encord-vs-kili)
- [Kili vs Clarifai](https://www.g2.com/compare/clarifai-vs-kili)
- [Kili vs Keymakr](https://www.g2.com/compare/keymakr-vs-kili)

  ### 10. [Keymakr](https://www.g2.com/products/keymakr/reviews)
By Keymakr
**Average Rating:** 4.8/5
**Total Reviews:** 46
We specialize in annotating images and videos and creating consistent high-quality data for your machine learning models. We create superior quality data that is backed by excellent customer service. We work with you to find the best strategy for your project. By combining advanced tools with in-house professional annotators, we guarantee incredible results. We believe that any Artificial Intelligence can perform only as well as the training data that is used to create it, and that always starts with a human touch. Done properly, data annotation has limitless potential.


Reviewers say compared to CVAT.ai, Keymakr is:
- Better at support
- More usable
- Easier to set up
Categories in common with CVAT.ai: [Data Labeling](https://www.g2.com/categories/data-labeling)

**Compare:** [CVAT.ai vs Keymakr](https://www.g2.com/compare/cvat-ai-vs-keymakr)
**Compare Keymakr with other alternatives:**
- [Keymakr vs SuperAnnotate](https://www.g2.com/compare/keymakr-vs-superannotate)
- [Keymakr vs Prolific](https://www.g2.com/compare/keymakr-vs-prolific)
- [Keymakr vs Roboflow](https://www.g2.com/compare/keymakr-vs-roboflow)
- [Keymakr vs Labelbox](https://www.g2.com/compare/keymakr-vs-labelbox)
- [Keymakr vs V7 Darwin](https://www.g2.com/compare/keymakr-vs-v7-darwin)
- [Keymakr vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-keymakr)
- [Keymakr vs Encord](https://www.g2.com/compare/encord-vs-keymakr)
- [Keymakr vs Clarifai](https://www.g2.com/compare/clarifai-vs-keymakr)
- [Keymakr vs Kili](https://www.g2.com/compare/keymakr-vs-kili)


---
## CVAT.ai Alternatives FAQs

### What are the best alternatives to CVAT.ai?

The best alternatives to CVAT.ai are [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) (4.8/5 rating with 346 reviews), [Prolific](https://www.g2.com/products/prolific/reviews) (4.6/5 rating with 237 reviews), [Roboflow](https://www.g2.com/products/roboflow/reviews) (4.7/5 rating with 147 reviews), and [Labelbox](https://www.g2.com/products/labelbox/reviews) (4.5/5 rating with 48 reviews). Among these, SuperAnnotate leads with the highest rating and review count, excelling in ease of use, annotation efficiency, collaboration, and quality control features. Roboflow is notable for its all-in-one computer vision pipeline including dataset management, augmentation, and model training. Prolific specializes in participant recruitment for research with a large vetted participant pool. Labelbox offers a complete training data platform with strong collaboration and automation capabilities.



### What features do alternatives offer that CVAT.ai does not?

CVAT.ai lacks native support for Named Entity Recognition, Optical Character Recognition (OCR), and Sentiment Detection, which are available natively in alternatives like SuperAnnotate and Labelbox.



### Which Data Labeling tools do reviewers recommend instead of CVAT.ai?

Reviewers highly recommend [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) for its intuitive interface, powerful AI-assisted annotation tools, and comprehensive collaboration and quality control workflows that significantly improve annotation speed and accuracy. It supports multiple data types and integrates well with cloud services and ML pipelines. [Roboflow](https://www.g2.com/products/roboflow/reviews) is praised for simplifying the entire computer vision workflow from annotation to model deployment, with strong dataset versioning and augmentation features. [Prolific](https://www.g2.com/products/prolific/reviews) is recommended for efficient and high-quality participant recruitment with robust screening and fair compensation. [Labelbox](https://www.g2.com/products/labelbox/reviews) is favored for its user-friendly interface, customizable workflows, AI-assisted labeling, and strong team collaboration tools, making it suitable for scaling annotation projects efficiently.



### How does CVAT.ai compare to SuperAnnotate?

According to G2 data, [CVAT.ai](https://www.g2.com/products/cvat-ai/reviews) and [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) both score equally high on meeting requirements with a 9.5 average score. However, SuperAnnotate leads in usability (9.5 vs 9.0), ease of setup (9.4 vs 9.0), ease of administration (9.5 vs no data for CVAT.ai), and support (9.5 vs 9.2). SuperAnnotate also scores 9.7 in ease of doing business, a dimension not rated for CVAT.ai. User reviews highlight that [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) excels in ease of use with 93 mentions, user interface with 59 mentions, and annotation efficiency with 47 mentions, compared to CVAT.ai’s 4.5-star rating from 25 reviews praising annotation efficiency and quality but noting a steeper learning curve and occasional slow performance. SuperAnnotate’s 4.8-star average from 346 reviews reflects widespread satisfaction with its intuitive interface, powerful AI-assisted annotation tools, and strong project management features. Feature-wise, SuperAnnotate offers Named Entity Recognition, OCR, and Sentiment Detection, which CVAT.ai does not. CVAT.ai does not list unique features absent in SuperAnnotate. Overall, SuperAnnotate provides a more comprehensive, user-friendly, and scalable annotation platform, especially suited for large-scale and complex AI projects, while CVAT.ai is recognized for its solid core annotation capabilities and affordability.



### Why do users choose SuperAnnotate over CVAT.ai?

Users choose [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) over CVAT.ai primarily for its superior usability and comprehensive feature set. With a 4.8-star rating across 346 reviews, SuperAnnotate is praised for its intuitive and user-friendly interface, which significantly reduces the learning curve compared to CVAT.ai. It offers advanced AI-assisted annotation tools like Magic Select and auto-segmentation that cut labeling time by at least 50%, enhancing productivity and reducing manual effort. SuperAnnotate’s strong project management capabilities, including task assignment, real-time progress tracking, and built-in quality assurance workflows, enable efficient collaboration across distributed teams. Users highlight its robust support system and smooth onboarding process, scoring 9.5 in support and 9.4 in ease of setup, outperforming CVAT.ai’s 9.2 and 9.0 respectively. The platform’s integration with multiple data types (images, video, text, LiDAR) and export formats compatible with popular ML frameworks further streamline AI workflows. Additionally, SuperAnnotate’s scalability and enterprise-grade features make it suitable for complex, large-scale annotation projects. Users appreciate the platform’s consistent updates, responsive customer support, and comprehensive documentation. These factors collectively drive preference for SuperAnnotate among organizations seeking a more efficient, collaborative, and production-ready annotation solution compared to CVAT.ai’s more technical and less feature-rich environment.




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