VolvenixCVAT vs Hasty
AI-enhanced independent comparison — features, pros, cons, pricing and rankings.
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Hugging Face Hub 
Who each tool serves best — and when to pick the other one.
Computer vision researchers and development teams needing customizable, detailed annotation for images and videos.
- You need detailed annotation tools for images and videos in computer vision projects.
- You want an open-source platform that can be customized and integrated into workflows.
- Your team requires collaborative annotation capabilities with support for multiple label formats.
Non-technical users or small teams looking for a simple, plug-and-play annotation tool without setup overhead.
- You need a simple, out-of-the-box annotation tool with minimal setup.
- Free-tier limits are a blocker for your annotation volume or team size.
- You require a fully managed SaaS solution without self-hosting or technical maintenance.
Open-source flexibility combined with advanced video and image annotation features.
Teams and organizations needing efficient, collaborative image annotation with AI-assisted automation.
- You need to speed up image annotation with AI-assisted labeling workflows.
- You want a cloud platform that supports team collaboration on vision datasets.
- Your team requires quality control tools to ensure annotation accuracy.
Users requiring extensive API access, enterprise-grade security, or fully self-hosted solutions.
- You need a public API for deep integration with other ML tools.
- Free-tier limits are a blocker for your large-scale annotation projects.
- You require enterprise security features like SSO and MFA.
The effectiveness of AI-assisted automated labeling to speed up annotation workflows.
A canonical comparison across capabilities common to this category. Vendor-specific extras appear below in "Highlighted Features".
| Capability | CVAT | Hasty |
|---|---|---|
|
Free Tier Available
Usable without payment (with usage limits)
|
✓ | ✓ |
Each tool's marketing-listed features. Where a feature appears under one tool but not the other, it usually reflects how the vendor describes their product — not a definitive capability gap.
- Image Annotation — Supports bounding boxes, polygons, points, and polylines
- Video Annotation — Frame-by-frame video labeling with interpolation
- Collaborative workflows — User roles, tasks, and access control for teams
- Annotation Formats — Exports to COCO, Pascal VOC, YOLO, and more
- Automation Plugins — Supports integration with AI models for semi-automatic labeling
- AI-assisted labeling — Automates annotation with AI to speed up workflows
- Collaboration Tools — Supports team projects and shared annotation tasks
- Quality Control — Tools to review and ensure annotation accuracy
- Dataset management — Organize and manage vision datasets
- Cloud Hosting — Access platform from any device with internet
- Robust support for video and image annotation
- Highly customizable and extensible open-source platform
- Supports multiple annotation formats and export options
- Collaborative annotation with user roles and tasks
- Active community and continuous development
- AI-assisted automated labeling reduces manual work
- Supports team collaboration and project management
- Quality control tools help maintain annotation accuracy
- Cloud-based platform accessible from anywhere
- User-friendly interface for faster onboarding
- Complex setup requiring technical skills
- User interface can be overwhelming for beginners
- No official mobile app for annotation on the go
- No public API for integrations
- Lacks enterprise security features like SSO and MFA
- No mobile app available
- Training data preparation for computer vision models
- Video surveillance object labeling
- Autonomous vehicle sensor data annotation
- Medical imaging dataset annotation
- Research projects requiring custom annotation workflows
- Image annotation for computer vision training
- Collaborative dataset labeling for AI teams
- Quality control of annotated vision datasets
- Automated labeling to reduce manual effort
- Preparing datasets for object detection models
No third-party integrations confirmed.
Where each tool runs — web, mobile, desktop, browser extension, API.
No platforms confirmed.
Natural languages each tool generates and understands. Primary languages are listed first.
What each tool can accept (input) and produce (output) — text, image, audio, video, code.
Free open-source core with optional paid cloud-hosted services for teams needing managed infrastructure.
-
Free
Free
Offers a free tier with basic features; paid plans add advanced capabilities and team collaboration.
-
Free
Free -
Pro
popular
$20.00/mo -
Team
$30.00/mo
Regulatory frameworks each tool claims compliance with (HIPAA, SOC 2, GDPR, etc.).
Vendor-published numbers each tool highlights — usage scale, breadth, and operational stats. Different tools track different metrics, so direct row-by-row comparison usually isn't meaningful.
- Open-source Yes
- Label Images annotated per hour
Languages, frameworks, databases, and infrastructure each tool is built on. Mostly relevant for self-hosted or open-source tools.
Stack not disclosed.
Who each tool is positioned for — primary audience first.
No specific audience listed.
How you can reach support — email, live chat, phone, community, docs.
- Documentation primary visit ↗
- Documentation primary
How each tool is classified in the Volvenix catalog.
These vocabulary domains are managed in our catalog but not yet exposed at the tool level. We're tracking them for future expansion of this comparison.
- Encryption Types — AES-256, ChaCha20, RSA-2048, and similar at-rest/in-transit cipher families.
- Encryption Contexts — where encryption is applied (data at rest, in transit, end-to-end).
- Plan-tier Model Mapping — which AI models are available on which pricing tier (currently only the model list is tracked, not the per-plan availability).
- What is this tool?
- CVAT is an open-source tool for annotating images and videos to create datasets for machine learning.
- How much does it cost?
- CVAT is free to use as open-source software; paid managed services are available separately.
- Does it have a free plan?
- Yes, the core CVAT tool is free and open-source with no usage limits.
- What integrations does it support?
- CVAT supports export to common annotation formats and can integrate with AI models via plugins.
- Who is it best for?
- It is best for technical teams needing detailed, customizable annotation for computer vision projects.
- What is this tool?
- Hasty is a cloud platform for teams to annotate images and train computer vision models efficiently.
- How much does it cost?
- Hasty offers a free tier and paid plans starting at $20/month with additional features.
- Does it have a free plan?
- Yes, Hasty provides a free plan with basic annotation tools suitable for individuals.
- What integrations does it support?
- No public API or integrations are currently documented.
- Who is it best for?
- It is best for teams needing efficient, AI-assisted image annotation workflows.
Computer Vision Annotation Tool
—
| Info | CVAT | Hasty |
|---|---|---|
| Pricing | Freemium | Freemium |
| Category | Data Labeling & Annotation | Data Labeling & Annotation |
| Deployment | Self-hosted | Cloud |
| Learning Curve | Advanced | — |
| Free Plan | ✓ | ✓ |
| AI Agent | ✗ | ✓ |
| Autonomy | Copilot | Assistant |
| Risk Tier | Medium | Medium |
| BYO API Key | ✓ | — |
| Local Models | ✓ | — |
| Fine-tuning | ✓ | — |
snorkel.ai
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LabellerrCVAT has an overall score of 5.8/10 and offers a freemium pricing model, focusing on advanced annotation features suitable for complex computer vision projects. Hasty, with an overall score of 5.2/10 and also using a freemium pricing structure, emphasizes ease of use and rapid annotation workflows, catering to users needing quicker labeling processes. While CVAT is often preferred for detailed, customizable annotations, Hasty targets efficiency and simplicity in labeling tasks.
ⓘ How Volvenix scores work
Scores are computed by Volvenix — not supplied by the vendors, and not third-party benchmark results. Each 0–10 dimension (Overall, Features, Usability, Support, Pricing) is a directional estimate aggregated from catalog signals — editorial cataloguing, content depth, engagement, and provider-reputation indicators — so treat them as a starting point, not a lab result.
Confidence reflects how complete the underlying data is for both tools; lower confidence means fewer signals were available, not a worse tool. We never accept payment for rankings or scores. More about how Volvenix works →