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Use on-device machine learning in your apps to easily solve real-world problems.
ML Kit is a mobile SDK that brings Google's on-device machine learning expertise to Android and iOS apps. Use our powerful yet easy to use GenAI, Vision and Natural Language APIs to solve common challenges in your apps or create brand-new user experiences. All are powered by Google's best-in-class ML models and offered to you at no cost.
ML Kit's APIs all run on-device, allowing for real-time use cases where you want to process a live camera stream for example. This also means that the functionality is available offline.
If ML Kit's turn-key APIs don't meet your needs and you require a more custom solution, visit the On-device Machine Learning page for guidance on all of Google's solutions and tools for on-device machine learning.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["\u003cp\u003eML Kit is a free mobile SDK that brings Google's machine learning expertise to Android and iOS apps through easy-to-use Vision and Natural Language APIs.\u003c/p\u003e\n"],["\u003cp\u003eML Kit's APIs run on-device, enabling real-time processing and offline functionality, but require Android API level 21 or higher.\u003c/p\u003e\n"],["\u003cp\u003eDevelopers can utilize pre-built APIs for tasks like text recognition, image labeling, and language identification, or integrate custom TensorFlow Lite models.\u003c/p\u003e\n"],["\u003cp\u003eGoogle provides extensive resources including sample apps, codelabs, and documentation to help developers get started with ML Kit.\u003c/p\u003e\n"],["\u003cp\u003eWhile most of ML Kit is generally available, certain features like Pose Detection and Text Recognition v2 are currently in beta.\u003c/p\u003e\n"]]],[],null,["Use on-device machine learning in your apps to easily solve real-world problems.\n\nML Kit is a mobile SDK that brings Google's on-device machine learning\nexpertise to Android and iOS apps. Use our powerful yet easy to use GenAI,\nVision and Natural Language APIs to solve common challenges in your apps or\ncreate brand-new user experiences. All are powered by Google's best-in-class ML\nmodels and offered to you at no cost.\n\nML Kit's APIs all run on-device, allowing for real-time use cases where you want\nto process a live camera stream for example. This also means that the\nfunctionality is available offline.\n| All ML Kit APIs require Android API level 21 or higher.\n\nWhat's new \n\n- We launched the beta version of the [GenAI APIs](/ml-kit/genai), offering out-of-the-box quality for common use cases through a high-level interface. Initial launch includes [Image Description](/ml-kit/genai/image-description/android), [Proofreading](/ml-kit/genai/proofreading/android), [Rewriting](/ml-kit/genai/rewriting/android) and [Summarization](/ml-kit/genai/summarization/android).\n\nLearn more\n\n- [GenAI APIs](/ml-kit/genai) harness the power of Gemini Nano to help your app perform tasks. These APIs provide out-of-the-box quality for popular use cases such as: [Image Description](/ml-kit/genai/image-description/android), [Proofreading](/ml-kit/genai/proofreading/android), [Rewriting](/ml-kit/genai/rewriting/android) and [Summarization](/ml-kit/genai/summarization/android).\n- ML Kit also offers ready-to-use APIs powered by Google's ML models: [text recognition](/ml-kit/vision/text-recognition), [face detection](/ml-kit/vision/face-detection), [barcode scanning](/ml-kit/vision/barcode-scanning), [image labeling](/ml-kit/vision/image-labeling), [object detection and tracking](/ml-kit/vision/object-detection), [pose detection](/ml-kit/vision/pose-detection), [selfie segmentation](/ml-kit/vision/selfie-segmentation), [smart reply](/ml-kit/language/smart-reply), [text translation](/ml-kit/language/translation), and [language identification](/ml-kit/language/identification).\n- Learn how to use custom TensorFlow Lite image labeling models in your apps. Read [Custom models with ML Kit](/ml-kit/custom-models).\n- Take a look at our [sample apps and codelabs](/ml-kit/samples). They help you get started with all of the APIs.\n\nOther resources\n\nIf ML Kit's turn-key APIs don't meet your needs and you require a more custom\nsolution, visit the\n[On-device Machine Learning page](/learn/topics/on-device-ml) for guidance on\nall of Google's solutions and tools for on-device machine learning."]]
