What is Teachable Machine?

Teachable Machine is an AI DevTool that allows users to train a computer to recognize their own images, sounds, and poses. It provides a fast and easy way to create machine learning models without requiring expertise or coding.

Who is Teachable Machine for?

Teachable Machine is designed for individuals and educators looking to create custom machine learning models for learning purposes or personal projects. It is suitable for anyone interested in training models to recognize specific data types.

What can I do with Teachable Machine?

With Teachable Machine, you can gather samples to train your model, classify images, sounds, and poses, and export your trained model for use in various projects. It also allows you to open and save projects directly from Google Drive.

How much does Teachable Machine cost?

Teachable Machine publishes a custom / contact-sales pricing model — get a quote on their site.

How is Teachable Machine different from alternatives?

Teachable Machine stands out by offering a user-friendly interface that requires no coding expertise, making it accessible for beginners. It focuses on creating machine learning models specifically for recognizing images, sounds, and poses.

Does Teachable Machine have a free trial?

Check Teachable Machine's site for current trial availability.

Teachable Machine

Train a computer to recognize your own images, sounds, & poses.

AI Engineering ToolsFreemiumWebsite

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Domain Rating

Monthly Traffic

Traffic Growth

+0.0%

Launch Date

N/A

Est. Revenue

N/A

Data updated Jul 25, 2026 · Traffic data: SimilarWeb (estimated)

About Teachable Machine

A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required.

Quick facts about Teachable Machine

Teachable Machine is an AI tool tracked by Relve in the AI Engineering Tools category. It uses a Freemium pricing model and runs on the web at teachablemachine.withgoogle.com.

The Relve catalog tracks 500+ live tools in AI Engineering Tools. Teachable Machine is part of the editorial tracking surface, with a Domain Rating of 47 on Ahrefs' authority scale.

Closest alternatives: Abyss Hub, ACE Studio, Actionbook, Action Sync, Adaapt.AI. Compare Teachable Machine head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.

Best for: teams looking for ai engineering tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Teachable Machine on a rolling 24-hour cycle (last updated Jul 25, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.

Key Features

Model Creation

Gather samples

Users can gather and group their examples into classes or categories that they want the computer to learn. This step is crucial as it sets the foundation for the model's training by providing relevant data for classification.

Train your model

After gathering samples, users can train their model and instantly test it to see if it can correctly classify new examples. This interactive process allows users to refine their models based on real-time feedback.

Export your model

Once the model is trained, users can export it for use in various projects, including websites and applications. The model can be downloaded or hosted online, providing flexibility in deployment.

Data Input

Images classification

Users can teach a model to classify images by using files or capturing examples live through a webcam. This feature allows for a hands-on approach to training the model with visual data.

Sounds classification

Users can teach a model to classify audio by recording short sound samples. This feature enables the model to recognize and categorize different sounds, enhancing its versatility.

Poses classification

Users can teach a model to classify body positions using files or by striking poses in front of a webcam. This interactive feature allows for real-time training based on physical movements.

Project Management

Open project from Drive

Users can open existing projects directly from their Google Drive, making it easy to access and manage their machine learning models. This integration streamlines the workflow for users who store their projects in the cloud.

Save project to Drive

Users can save their projects to Google Drive, ensuring that their work is securely stored and easily retrievable. This feature enhances collaboration and accessibility for users working on multiple devices.

Download project as file

Users have the option to download their projects as files, allowing for offline access and sharing. This feature provides flexibility in how users manage and distribute their machine learning models.