Teachable Machine
by Google
Teachable Machine is a free browser-based Google tool for training simple image, audio, and pose classification models without writing code. Users collect examples, train locally, test results, and export models for projects.
Why Abandoned
The official Teachable Machine website remains available and functional, and Google continues to host documentation and model-export resources. No official shutdown or acquisition announcement was found.
🩺 Health Signals
- HTTP Status
- 200
- Response
- —
- SSL
- —
- Confidence
- 94%
- Domain expires
- —
- Last content change
- —
- Last tweet
- —
- API status
- —
📅 Timeline
Original experiment launched
Google introduced Teachable Machine as a browser experiment that let people train a simple image classifier with a webcam, without coding.
Teachable Machine 2.0 released
Google launched a redesigned version supporting image, sound, and pose projects, along with model export for use in websites, apps, and other projects.
Open-source model library published
Google released the Teachable Machine model library and related code on GitHub, supporting TensorFlow.js-based use and integration of exported models.
🔄 Alternatives to Teachable Machine
Akkio
🟢ActiveAkkio is an AI analytics platform for agencies and business teams. It supports data preparation, predictive modeling, forecasting, reporting, and generative analysis through no-code workflows and conversational interfaces.
Hugging Face
🟢ActiveThe GitHub of machine learning — hosting models, datasets, and AI applications.
Obviously AI
🟢ActiveObviously AI is a no-code predictive analytics platform for building machine-learning models from tabular business data. It supports prediction, model explanation, deployment, and integration workflows.
🪦 Other dead No-code machine-learning builder tools
❓ Frequently Asked Questions
What is Google Teachable Machine?
Google Teachable Machine is a free, browser-based no-code tool for creating basic machine-learning classification models from examples you provide.
What can Teachable Machine recognize?
It supports image, audio, and pose classification projects. A model learns user-defined classes and predicts which class best matches new input.
Do I need coding skills to use Teachable Machine?
No. Data collection, training, and testing are handled through a visual interface. Coding may be needed only when integrating an exported model into a custom application.
Is Teachable Machine free, and does training happen locally?
Teachable Machine is free to use. Google states that training happens locally on the user's device, although users can optionally upload project files or exported models to external services.
How do I export a Teachable Machine model?
Models can be exported in supported formats such as TensorFlow.js, TensorFlow, and TensorFlow Lite, depending on project type, or shared through a hosted model link where available.