Introduction:Teachable Machine is a free Google experiment for training image, sound, and pose classification models in the browser without writing code.
Users collect examples into classes with a webcam, microphone, or uploaded files, train a model locally, test it instantly, and export it for websites, apps, creative coding, hardware, or classroom projects. Supported workflows connect with TensorFlow, ml5.js, p5.js, Coral, Arduino, Node.js, and other tools.
A small demonstration model can inherit bias from lighting, background, voices, bodies, and unbalanced examples. Obtain consent, avoid sensitive classification, collect diverse data, test failure cases, document limitations, and keep personal camera or microphone samples on-device when possible.
Research basis:
This is a source-based directory listing prepared from public product information; it is not represented as a hands-on test. Last updated August 8, 2026. Read our methodology.
How to use this tool
Define the owner, success measure, approval boundary, and rights before providing authorized examples, project objective, class labels, representative data, and privacy constraints to Teachable Machine.
Configure a small pilot using No-code browser model training and Image classification projects with minimum permissions and non-sensitive material.
Test Build an object-recognition prototype and Create a sound-controlled interface, recording inputs, settings, usage, expected results, and source references.
Review a tested learning activity, classification model, export, or educational prototype for accuracy, privacy, security, originality, accessibility, policy compliance, and commercial rights.
Monitor prices, limits, integrations, and product changes; Small or biased training sets produce unreliable models; test across diverse examples and never upload sensitive data without permission.
Core Features
✓No-code browser model training
✓Image classification projects
✓Audio classification projects
✓Pose classification projects
✓Live webcam and microphone capture
✓Uploaded training examples
✓Instant model testing
✓TensorFlow and creative-code export
Use Cases
#1Build an object-recognition prototype
#2Create a sound-controlled interface
#3Train a pose-based game controller
#4Teach basic machine-learning concepts
#5Export a model to a web project
Frequently Asked Questions
Teachable Machine is a free Google experiment for training image, sound, and pose classification models in the browser without writing code.
No-code browser model training, Image classification projects, Audio classification projects, Pose classification projects, Live webcam and microphone capture.
Build an object-recognition prototype, Create a sound-controlled interface, Train a pose-based game controller, Teach basic machine-learning concepts.
Authorized examples, project objective, class labels, representative data, and privacy constraints.
A tested learning activity, classification model, export, or educational prototype.
Teachable Machine is free to use in the browser.
Yes. The current record includes Free; verify live limits before relying on it.
Confirm billing, renewal, taxes, credits, usage limits, support, cancellation, refunds, data handling, advertising or commercial rights, and external costs on the official checkout.
Small or biased training sets produce unreliable models; test across diverse examples and never upload sensitive data without permission.
No. Responsible use still requires source permission, factual and quality review, privacy and security checks, policy compliance, and final human approval.
Teachable Machine Support Email & Customer service contact & Refund contact etc.
