Intelligent Image Labeling
for Modern ML Teams
We've paused Labelizity for now — but we're not going far. If you're an ML team tired of clunky labeling tools, email us to get early access when we relaunch.
We're Solving Yesterday's Annotation Problems
Building a tool that respects your time and workflow
Hours Wasted Daily
Most of your time goes to data prep instead of building models. There has to be a better way.
Outdated Tools
Traditional labeling tools crash frequently. Complex setup requirements. Your labeling workflow shouldn't need extensive DevOps support.
Team Bottlenecks
Coordinating labeling work across teams is painful. Version conflicts, duplicate work, and no real-time collaboration.
Being built with ML engineers who are tired of wasting time on bad tools. We're fixing everything that annoys us.
Built for Speed, Designed for ML Engineers
Every feature engineered to get you back to model development faster
20+ Keyboard Shortcuts
Navigate and label without touching your mouse. 20+ shortcuts built for speed.
5 Export Formats
Export in all 5 industry-standard formats: JSON, CSV, COCO, YOLO, and Pascal VOC.
Team Collaboration
Share projects with your team for collaborative labeling workflows.
Quality Assurance
Built-in validation workflows and review tools for team quality control.
Batch Processing
Process thousands of images efficiently with bulk operations and automated workflows.
API Access
RESTful API for programmatic access and custom integrations.
• Webhook support
• SDK libraries
Plus: Undo/redo • Zoom controls • Custom labels • Project organization
What Labelizity Can Do Today
Real capabilities, honestly presented. We're adding more every week.
Object Detection
Draw precise bounding boxes for object detection
Click and drag interface with pixel-perfect accuracy
Segmentation
Polygon and mask annotations for semantic segmentation
Precise pixel-level annotations for complex shapes
Classification
Multi-class and multi-label image classification
Efficient labeling with keyboard shortcuts
Custom Workflows
Tailored labeling workflows for your specific use case
Configure validation rules and quality checks
Technical Specifications
Why We Built Labelizity
A genuine story from developers who got tired of clunky labeling tools
The Problem
Like many ML engineers, we spent countless hours wrestling with outdated labeling tools. LabelImg crashed constantly. CVAT required complex Docker setups. VGG Image Annotator felt like it was built in 2010 (because it was).
- ✓Most time spent on labeling, not building models
- ✓Clunky interfaces that slowed down productivity
- ✓Complex setup processes and frequent crashes
The Realization
We realized the tools we were using were built for a different era. They weren't designed for modern ML workflows, cloud collaboration, or the scale we needed. They were desktop-first in a cloud-native world.
- ✓Tools designed for outdated workflows
- ✓No cloud collaboration capabilities
- ✓Desktop-first in a cloud-native world
Our Solution
Labelizity is what we're creating together. Built with Next.js 15, React 19, and Supabase - the same technologies powering modern web apps. No installations. No Docker. No crashes. Just open your browser and start labeling.
- ✓Keyboard-first design because clicking is slow
- ✓Real-time collaboration (Coming Soon)
- ✓Cloud-native architecture that scales
Building in Public
We're not hiding behind closed doors. We're building Labelizity with the community, gathering feedback, and iterating quickly. Your input directly shapes what we build next.
- ✓Transparent roadmap and development
- ✓Direct access to founders
- ✓Your feedback = our priorities
Our Promise to You
We're committed to building Labelizity with you, not for you. Your feedback isn't just welcomed—it's essential. We're creating this together, and your input shapes every decision we make.
Join us in co-creating something better. Your voice matters, and we're listening.
Get in Touch
No sales team. No support tiers. Just direct communication with the Labelizity team.
Labelizity team
Former ML engineers who got tired of clunky labeling tools. Labelizity is on standby right now, but we're still here and reading every message personally. Tell us what you need — it shapes what we build when we relaunch.
Contact Methods
Response Time Commitment
We respond within 24 hours. Usually much faster.
Building in public: Your message isn't going to a support ticket system. It's going directly to the team who's building this product.
Interested? Let's talk.
Labelizity is on standby for now. Drop us a line and we'll make sure you're first in line when we relaunch.