Freemium
Leading digital analytics platform for product insights and customer journey analytics
analyticsproduct analyticscustomer insights
View detailsKey facts
Pricing
Freemium
Use cases
Educators and students creating image classification models by uploading local files or using a live webcam feed (verified: 2026-01-29), Developers building audio recognition systems that classify specific sounds through recorded audio samples or live microphone input (verified: 2026-01-29), Researchers training pose estimation models to identify specific body positions and movements using webcam data or image files (verified: 2026-01-29)
Strengths
The platform provides a web-based interface that allows users to train machine learning models without writing code or installing software (verified: 2026-01-29), Users can choose to process data entirely on-device to ensure that webcam and microphone data does not leave the local computer (verified: 2026-01-29), The tool supports multiple data formats including live captures and uploaded files for training image, sound, and pose models (verified: 2026-01-29)
Limitations
The tool requires a web browser and an active internet connection to access the training interface and platform features (verified: 2026-01-29), Users must provide their own training data through manual file uploads or live recordings to create functional classification models (verified: 2026-01-29)
Last verified
Jan 29, 2026
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Strengths
- The platform provides a web-based interface that allows users to train machine learning models without writing code or installing software (verified: 2026-01-29)
- Users can choose to process data entirely on-device to ensure that webcam and microphone data does not leave the local computer (verified: 2026-01-29)
- The tool supports multiple data formats including live captures and uploaded files for training image, sound, and pose models (verified: 2026-01-29)
Limitations
- The tool requires a web browser and an active internet connection to access the training interface and platform features (verified: 2026-01-29)
- Users must provide their own training data through manual file uploads or live recordings to create functional classification models (verified: 2026-01-29)
FAQ
What types of data can I use to train a model on Teachable Machine?
You can train models using three primary categories: images, sounds, and poses. For images and poses, you can use your webcam or upload existing files. For sound models, you record short audio samples directly through your microphone to teach the system to recognize specific noises (verified: 2026-01-29).
Does my private webcam or microphone data get uploaded to external servers?
The platform is designed to be respectful of privacy. You have the option to use the tool entirely on-device, which ensures that your webcam and microphone data remains on your computer and is not sent to external servers during the training process (verified: 2026-01-29).
How do I export and use the models I create with this tool?
After training your model, the platform allows you to export it for use in your own projects, websites, or applications. This makes the machine learning models accessible for integration into various digital environments beyond the initial training interface (verified: 2026-01-29).
