Is Teachable Machine free?

Yes, Teachable Machine is free to use.

Does Teachable Machine have an API?

Yes, Teachable Machine provides an API for developers.

Is Teachable Machine open source?

Yes, Teachable Machine is open source.

What does Teachable Machine integrate with?

Teachable Machine integrates with TensorFlow.js, TensorFlow, TensorFlow Lite, Keras, Coral Edge TPU, p5.js, Arduino, Webcam, and more.

Is Teachable Machine cloud-based or self-hosted?

Teachable Machine is offered as a cloud-based (SaaS) deployment.

What are the downsides of Teachable Machine?

Not suitable for complex or production-scale ML tasks Also, No control over training parameters like epochs, learning rate, or optimizer

Who is Teachable Machine best for?

Teachable Machine is best suited for Educators and Students, Makers and Artists, Beginner Developers.

What can I use Teachable Machine for?

Common uses for Teachable Machine include teaching machine learning concepts in classrooms, prototyping image, sound, and pose recognition models, building interactive art and maker projects, adding ml classification to web apps.

What is the best alternative to Teachable Machine?

Browse AI is the closest alternative to Teachable Machine, followed by Airtable and Webflow.

How does Teachable Machine compare to Browse AI?

Teachable Machine and Browse AI are both used for developer tools -- specifically no-code tools. See the full side-by-side comparison for pricing and feature differences.

Teachable Machine: No-Code ML Model Training in Browser

Teachable Machine is a free, web-based tool from Google Creative Lab that lets anyone train machine learning classification models for images, sounds, or body poses by uploading or capturing examples — no coding or ML expertise required. It's aimed at educators, students, artists, makers, and beginner developers who want to prototype ML quickly, and its key differentiator is that everything runs in the browser with instant real-time testing and one-click model export to TensorFlow.js, TensorFlow Lite, and Coral EdgeTPU. It is not built for large-scale, production-grade, or highly customized ML work.

Teachable Machine

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