🐯
vs
🌐

TigerLabel vs Appen

Modern interface, cutting-edge AI tools, and developer-friendly APIs. Experience the next generation of data labeling platforms.

Why Teams Upgrade from Appen

Modern technology delivers better results faster

Modern Platform Experience

Beautiful, intuitive interface built with modern web technologies. Appen's platform feels outdated and clunky in comparison.

Superior AI Capabilities

Integrate the latest foundation models (SAM 2, GPT-4 Vision) for dramatically faster annotation. Appen lacks these cutting-edge AI tools.

Developer-First API

Comprehensive API with Python SDK, webhooks, and GraphQL support. Appen's API is limited and poorly documented.

Faster Project Setup

Get started in minutes with pre-built templates and intuitive workflows. Appen projects can take weeks to configure.

Platform Comparison

Modern vs. legacy technology

Aspect
TigerLabel
Appen
Interface Design
Modern, clean, intuitive
Outdated, complex
AI Pre-labeling
SAM 2, GPT-4, custom models
Limited automation
API Quality
RESTful, GraphQL, webhooks
Basic REST API
Setup Time
Minutes
Days to weeks
Data Types
10+ types including 3D, medical
Basic types only

Detailed Feature Comparison

Platform & Interface

Feature
TigerLabel
Appen
Modern, intuitive UI
Real-time collaboration
Mobile-friendly interface
Dark mode support
Keyboard shortcuts

AI & Automation

Feature
TigerLabel
Appen
SAM 2 auto-segmentation
GPT-4 Vision integration
Custom model pre-labeling
Active learning
Auto-labeling for video
Quality prediction ML

Developer Experience

Feature
TigerLabel
Appen
RESTful API
Python SDK
Webhooks for events
GraphQL API
Detailed API documentation
Postman collections

Data Types

Feature
TigerLabel
Appen
Images & video
Text & NLP
Audio & speech
3D point clouds
Medical imaging (DICOM)
Time series data

Workflow & Quality

Feature
TigerLabel
Appen
Visual workflow builder
Custom quality rules
Real-time quality metrics
Automated review routing
Consensus mechanisms
After years with Appen, switching to TigerLabel was like stepping into the future. The modern interface, AI pre-labeling, and API integration cut our annotation time by 70%. Our developers actually enjoy using the platform now.
Jennifer Liu
Director of ML Ops, DataCorp
70%
Time savings
5x
Faster API
95%
Team satisfaction
See TigerLabel in action

Ready to Build
Better AI?

Join thousands of AI teams using TigerLabel to create high-quality training data. Schedule a personalized demo to see our platform in action.

✓ Personalized demo✓ No commitment required✓ Expert guidance✓ SOC 2 Compliant