Teachable Machine

Teachable Machine is a web service artificial intelligence that allows you to create and train models in minutes without programming. The platform is practice-oriented: you collect examples, start training, and immediately test the result in your browser. Thanks to support for TensorFlow.js, models can be easily integrated into websites and applications, and exporting to various formats simplifies usage in real cases from chatbots to interactive installations and DIY devices.

Key features and capabilities

Teachable Machine offers three types of projects: images, sounds, and poses. For images, you can use files or webcam to train a classifier based on your classes. For sounds, you can record short audio samples and recognize claps, whistles, and speech patterns. For poses, you can classify body positions through the camera, creating interactive controllers. The process is divided into three steps:

1. data collection by classes,
2. model training and instant testing,
3. export — download or host the model online.
4. The service supports fully on-device operation, without sending webcam/microphone data, which is important for privacy.

Benefits of using

The main advantage is speed and simplicity: training occurs in the browser, the interface is intuitive, and the result is immediately applicable. Real TensorFlow.js models “live” wherever JavaScript runs, so integration with Glitch, P5.js, Node.js happens seamlessly. Additionally, formats for Coral and Arduino are available, opening the way to hardware prototypes and interactive projects. The ability for offline processing and local training reduces the risk of data leakage and simplifies usage in educational and corporate environments.

Who the service is suitable for

Teachable Machine is aimed at a wide audience:

• Teachers and students: lessons on AI + ethics, “Dancing with AI”, Ready AI demonstrate application in schools and universities.
• Marketers and content creators: quick prototypes for image/sound recognition for campaigns and interactivity.
• Developers and DIY creators: projects like “Tiny Sorter” (Arduino) and “Teachable Snake” show how to turn a camera and paper into a controller.
• Inclusive communications: cases like Project Euphonia illustrate the use of gestures and audio for assistive scenarios.

Pricing

The service is positioned as a fast, simple, and accessible tool that works directly in the browser. Models can be downloaded or hosted online, as well as exported to different ecosystems: TensorFlow.js, Coral, Arduino, and more. The page includes instructional videos on data collection, training, and exporting, while the FAQ section reveals details on saving and publishing models. Access is possible without coding and without transferring media data from the device, ensuring a comfortable start and security.

Conclusion

If you need a clear path to automating tasks with AI — from image and sound recognition to poses and interactive chatbots — start with Teachable Machine. Collect examples, train a model in the browser, and export it to the desired format for a website, application, or device. Open the Teachable Machine page and click Get Started to test your first case today.