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Genie by Teachable Machine 2.0

NewVerified

Train custom AI models without code using your own images or data.

No-Code / Low-Code
8.2 (52.93 score)
freeAPI Available
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Overview

Teachable Machine is Google's browser-based tool for building machine learning models without programming knowledge. It's designed for educators, students, and creators who want to experiment with AI through image, audio, or pose recognition. Models train directly in your browser and export to TensorFlow or other frameworks.

Pros

  • Train models directly in browser with zero coding required
  • Export trained models to TensorFlow, JavaScript, or other formats
  • Works with images, audio, and body pose data
  • Fast iteration cycle from data collection to trained model
  • Built-in testing interface to validate model accuracy immediately

Cons

  • Limited to relatively simple classification tasks
  • Browser-based training limits model complexity and size
  • No collaborative features for team-based projects

Key Features

No-code model training
Image classification
Audio recognition
Pose detection
Model export
Real-time testing

Use Cases

Educators teaching machine learning fundamentals to studentsHobbyists building quick computer vision prototypesStudents creating class projects with custom AI modelsNon-technical creators experimenting with image or audio recognition

Best For

Educators & StudentsNo-Code DevelopersPrototype BuildersSmall Teams

Frequently Asked Questions

What does Genie by Teachable Machine 2.0 cost?
Genie is completely free to use. There are no subscription fees, usage limits, or hidden charges for building, training, or exporting your AI models.
How quickly can I learn to build models with this tool?
The browser-based interface requires minimal technical setup—you can start training a custom model in minutes by uploading images, poses, or sounds directly without installing software or writing code.
Can I export models and use them elsewhere?
Yes, you can export trained models in multiple formats including TensorFlow.js, TensorFlow Lite, and TensorFlow SavedModel for deployment in web apps, mobile apps, or other platforms.
What are the main limitations of this tool?
Genie is designed for simpler computer vision tasks like image classification and pose detection; it may not handle highly complex, large-scale production scenarios or require advanced customization that specialized ML frameworks provide.
What is the ideal use case for Genie?
It's best for educators, hobbyists, and teams needing quick prototypes of image classifiers, pose detectors, or sound classifiers without machine learning expertise or infrastructure investment.

Pricing Plans

Free

Custom
  • Create and train ML models without coding
  • Basic image recognition capabilities
  • Export models for web and mobile
  • Community support

ProMost Popular

$9.99/monthly
  • Advanced model training and customization
  • Priority customer support
  • Higher API rate limits
  • Access to beta features

Business

$29.99/monthly
  • Unlimited model creation and training
  • Dedicated account manager
  • Custom integration support
  • Advanced analytics and monitoring

Enterprise

Custom
  • Custom pricing and deployment options
  • On-premise or cloud deployment
  • 24/7 dedicated support
  • Custom SLA agreements

Verified Info

Added to directory5/10/2026
Pricing modelfree

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