Teachable Machine

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Category:Education & Translation

Pricing:Free

Added:

July 2, 2026

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Web platform for building machine learning models without coding. Train image, sound, and pose recognition to integrate them into your projects.

What is Teachable Machine?

Teachable Machine is a web-based tool designed to democratize access to machine learning. Its primary function is to allow any user, regardless of prior programming or data science experience, to create custom AI models quickly and intuitively. Through a simple visual interface, it facilitates the training of systems capable of recognizing specific patterns in different types of files or real-time data inputs.

The operation of Teachable Machine is structured into a three-step process: collection, training, and export. The user defines different categories or "classes" and provides examples by uploading files or through live captures. The platform uses advanced artificial intelligence technologies to process the data, allowing training to be completed in a matter of seconds. Once the model is generated, it can be instantly tested within the browser to verify its accuracy before being deployed in a real-world environment.

This application stands out for its technical versatility, offering three main recognition modes:

Image recognition: Identifying objects, faces, or colors using a computer camera or by uploading local images.
Sound recognition: Classifying environmental noises, specific words, or short audio snippets.
Pose recognition: Detecting body position and limb movement in space through computer vision.

One of the biggest advantages of Teachable Machine is its focus on privacy and technical integration. Processing can be performed entirely locally, meaning that camera or microphone data does not have to leave the user's device. Additionally, the resulting models are highly compatible with various development ecosystems. They can be exported for use in websites, mobile apps, or hardware projects, and are compatible with libraries and platforms such as TensorFlow, ML5.js, p5.js, node.js, Framer, Glitch, and Arduino.

The use cases for this no-code AI tool are extensive and practical. It is ideal for educators, designers, and developers looking to prototype solutions quickly. It has been used to create assistive communication devices, video game controllers that operate via paper gestures, and even physical machines capable of automatically sorting objects. Its ability to connect the digital and physical worlds through boards like Coral makes it an essential resource for experimentation in the field of applied artificial intelligence.

Teachable Machine features and use cases

•Intuitive web tool for building machine learning models without coding.

•Recognize images, sounds, and poses by classifying examples into categories.

•Fast model training with instant validation and testing.

•Export models for integration into websites, apps, and various environments.

•On-device local data processing without sending information to external servers.

•Compatible with libraries and platforms such as TensorFlow, ML5.js, Node.js, and Arduino.

•Real-time data capture via webcam and microphone or through file uploads.

•Create custom game controllers using physical gesture recognition.

•Develop assistive communication devices and accessibility tools.

•Technical integration with Coral hardware and development environments like Glitch or Framer.

How to use Teachable Machine

1Select the project type you want to create, choosing from image, sound, or pose recognition.

2Gather and group examples into different classes so the computer learns to distinguish them.

3Capture live examples with your camera or microphone, or use files you already have saved.

4Train your model quickly so the system can process all the provided information.

5Instantly test your model's performance to see if it correctly identifies new examples.

6Export the generated model for use in websites, mobile apps, or platforms like Arduino and Node.js.

7Select the local processing option if you want to ensure your camera or microphone data stays on your computer.

Teachable Machine FAQ

What is Teachable Machine and what is it used for?

It is a web-based tool that makes it easy to create machine learning models to recognize images, sounds, and poses without any programming.

Do I need programming skills to use Teachable Machine?

No, you don't need to know how to code or be a tech expert to train and test your own AI models.

Is Teachable Machine free to use?

Yes, the tool is free to use, allowing anyone to experiment with machine learning.

What types of files can I use to train my model?

You can use local files stored on your computer or capture real-time examples using your webcam or microphone.

Can I export models created in Teachable Machine to other platforms?

Yes, models can be exported for use in websites, apps, and environments such as TensorFlow, Arduino, or Node.js.

Teachable Machine pricing and plans

Free Plan (0 €):

Create machine learning models without any coding knowledge.
Recognize images, sounds, and poses by classifying examples.
Fast model training with instant testing capabilities.
Export models for use on websites, apps, and various platforms (TensorFlow, ML5.js, p5.js, node.js, etc.).
Complete on-device processing, ensuring camera and microphone data never leave your computer.
Support for local file uploads or live example capture.
Access to tutorials and resources for hardware integration with platforms like Arduino or Coral.