Teachable Machine — Train No-Code AI Models
Teachable Machine is a no-code platform to train machine learning models for images, sounds, and poses.
Teachable Machine is a web-based tool provided by Google that enables anyone to create machine learning models for image, sound, and pose recognition. It is designed for business owners, educators, and creative professionals who need to prototype artificial intelligence applications without writing any code. By using a webcam or uploading local files, users train the computer to recognize specific patterns, such as distinguishing between different products on a shelf or identifying vocal commands. The platform provides a streamlined three-step workflow: gather data, train the model, and export the results. Once trained, the model can be downloaded or hosted online to be integrated into websites, mobile apps, or physical hardware projects. Teachable Machine makes it simple to test the accuracy of a model instantly within the browser before deployment. This allows for rapid iteration and testing of business concepts involving visual or auditory automated triggers. For those researching no-code AI solutions on surfai.app, this tool stands out due to its accessibility and lack of technical barriers. Business owners can use it to build proof-of-concept tools for inventory tracking, sound-based quality control, or interactive customer experiences. The processed models run locally in the browser or on the user's device, ensuring that data privacy is maintained during the training phase. Teachable Machine is entirely free to use and does not require a Google account to begin training models. Exported models are compatible with popular libraries like TensorFlow.js for easy implementation in 2026 digital projects.
- Pricing: free
Specifications
| Pricing | free |
|---|---|
| Integrations | TensorFlow.js, Arduino, p5.js, Glitch, Unity, Firebase |
| Best for | educators, product-managers, creative-agencies, app-developers |
| Website status checked | 2026-10-23T18:01:52.863+00:00 |
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|---|---|---|---|
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