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Teachable Machine

Train a computer to recognize images, sounds, & poses, no coding required.

Last updated: Jun 29, 2025

About Teachable Machine

Teachable Machine is a web-based tool that makes it fast, easy, and accessible to create custom machine learning models. You can train a computer to recognize images, sounds, or poses, directly in your browser, without needing to write any code. It's a flexible tool that can be used for a wide range of creative projects, from interactive art installations to simple apps.

Last updated: June 29, 2025

Who It's For

  • Educators and students.
  • Artists and creative professionals.
  • Researchers and prototypers.
  • Anyone interested in learning about or experimenting with machine learning without coding.

How It Works

  1. 1Users upload or capture data (images, audio, or poses) directly in the browser.
  2. 2The tool then trains a machine learning model based on this data.
  3. 3Users can preview how the model performs in real-time.
  4. 4The trained model can be exported for use in websites, apps, or other projects.

How to Use Teachable Machine

  1. 1Go to the Teachable Machine website.
  2. 2Select a project type (Image, Audio, or Pose).
  3. 3Collect data for each class by uploading samples or using your webcam/microphone.
  4. 4Train the model with a single click.
  5. 5Test the model's accuracy immediately.
  6. 6Export the trained model in various formats (e.g., TensorFlow.js, TensorFlow Lite).

Key Features

  • No coding required for model creation.
  • In-browser training for image, audio, and pose models.
  • Real-time preview of model performance.
  • Export options for TensorFlow.js, TensorFlow Lite, and other formats.
  • User-friendly interface.

Use Cases

  • Creating interactive art installations that react to gestures or sounds.
  • Developing simple applications for object recognition or sound classification.
  • Educational purposes, to teach the basics of machine learning.
  • Prototyping machine learning ideas quickly without a coding background.

Pros & Cons

Advantages

  • Extremely easy to use, making machine learning accessible to non-programmers.
  • Fast prototyping and testing of ML ideas.
  • Directly integrates with web technologies for immediate application.
  • Completely free and open-source, promoting experimentation and learning.

Disadvantages

  • Limited to relatively simple machine learning tasks due to its no-code nature.
  • Training is done in the browser, which might be slow for very large datasets.
  • Lack of advanced customization options for expert users.

Alternatives

  • Google Cloud AutoML
  • Lobe.ai
  • RunwayML

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Frequently Asked Questions

What is Teachable Machine?

Teachable Machine is a web-based tool that makes it fast, easy, and accessible to create custom machine learning models. You can train a computer to recognize images, sounds, or poses, directly in your browser, without needing to write any code.

How much does Teachable Machine cost?

Teachable Machine is free to use.

Is Teachable Machine free?

Yes, Teachable Machine offers a free plan you can start with.

What are the best Teachable Machine alternatives?

Popular Teachable Machine alternatives include Google Cloud AutoML, Lobe.ai, RunwayML.

What is Teachable Machine used for?

Teachable Machine is commonly used for Creating interactive art installations that react to gestures or sounds., Developing simple applications for object recognition or sound classification., Educational purposes, to teach the basics of machine learning..

Information Accuracy

Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.