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This toolkit was made for Android and iOS developers who want to make their apps more engaging. Its API can be used to implement bar scanning, face detection, image labeling features, and more without having to create an ML model from scratch. All the necessary processing happens on the mobile device of the user in real-time so there is no need for you to worry about setting up and hosting expensive servers.
Optimized for mobile
ML Kit’s processing happens on-device. This makes it fast and unlocks real-time use cases like processing of camera input. It also works while offline and can be used for processing images and text that need to remain on the device.
Built with Google expertise
Take advantage of the machine learning technologies that power Google's own experiences on mobile.
Easy to use and No Code
We combine best-in-class machine learning models with advanced processing pipelines and offer these through easy-to-use APIs to enable powerful use cases in your apps.
Vision quickstart
Demonstrates how to get started with all the Vision APIs: barcode scanning, face detection, text recognition, and pose detection. It also shows image labeling and object detection with base models and custom TensorFlow Lite models.
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AutoML quickstart
Demonstrates how to use image labeling with AutoML Vision Edge models, and shows how to download models that are hosted with Firebase.
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Vision showcase
This app uses ML Kit's Vision APIs and shows how to build a rich end-to-end user experience that follows the Material for ML design guidelines.
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Digital Ink Recognition quickstart
Demonstrates how to get started with the digital ink recognition API.
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Translate quickstart
Shows how to use ML Kit to perform text translation.
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Smart Reply quickstart
Demonstrates how to use the Smart Reply feature of ML Kit to automatically generate replies to conversation threads.
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Language ID quickstart
Demonstrates how to use ML Kit to to identify the language of written text.
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Entity Extraction
Detect and locate entities (e.g. addresses, date/time etc.) from 15 different languages, and take action based on context.
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Translate showcase
This app uses the text recognition, language ID, and on-device translation APIs to translate text in real-time from a camera image.
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Barcode scanning
Scan and process barcodes. Supports most standard 1D and 2D formats.
Face detection
Detect faces and facial landmarks.
Image labeling
Identify objects, locations, activities, animal species, products, and more. Use a general-purpose base model or tailor to your use case with a custom TensorFlow Lite model.
Object detection and tracking
Localize and track in real time one or more objects in the live camera feed.
Text recognition
Recognize and extract text from images.
Digital Ink Recognition
Recognizes handwritten text and handdrawn shapes on a digital surface, such as a touch screen. Recognizes 300+ languages, emojis and basic shapes.
Pose detection
Detect the position of the human body in real time.
Selfie segmentation
Separate the background from users within a scene and focus on what matters.
Language ID
Determine the language of a string of text with only a few words.
On-device translation
Translate text between 58 languages, entirely on device.
Smart Reply
Generate reply suggestions in text conversations.
Entity Extraction
Detect and locate entities (such as addresses, date/time, phone numbers, and more) and take action based on those entities. Works in 15 languages.