ML Kit는 Android 및 iOS 앱에 Google의 기기 내 머신러닝 전문 지식을 적용하는 모바일 SDK입니다. 강력하면서도 사용하기 쉬운 생성형 AI, 비전, 자연어 API를 사용하여 앱의 일반적인 문제를 해결하거나 완전히 새로운 사용자 환경을 만드세요. 모두 Google의 업계 최고의 ML 모델을 기반으로 하며 무료로 제공됩니다.
ML Kit의 API는 모두 기기에서 실행되므로 실시간 카메라 스트림을 처리해야 하는 실시간 사용 사례를 지원할 수 있습니다. 즉, 이 기능은 오프라인에서도 사용할 수 있습니다.
새로운 소식
Google은 고급 인터페이스를 통해 일반적인 사용 사례에 즉시 사용할 수 있는 품질을 제공하는 GenAI API의 베타 버전을 출시했습니다.
초기 출시에는 이미지 설명, 교정, 재작성, 요약이 포함됩니다.
자세히 알아보기
GenAI API는 Gemini Nano의 성능을 활용하여 앱이 작업을 실행하도록 지원합니다. 이러한 API는 이미지 설명, 교정, 재작성, 요약과 같은 일반적인 사용 사례에 즉시 사용할 수 있는 품질을 제공합니다.
[null,null,["최종 업데이트: 2025-08-29(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."]]
