Google Lens is powered by a combination of computer vision, optical character recognition (OCR), and machine learning technologies. At its core, it uses convolutional neural networks (CNNs) to analyze images and detect objects, text, and patterns. For text recognition, Google Lens integrates OCR capabilities similar to Google’s Tesseract, enhanced with deep learning for higher accuracy across diverse fonts and languages. Additionally, the app uses Google's vast knowledge graph and cloud-based AI services to provide contextual information, such as identifying landmarks or extracting details from scanned documents. These technologies enable Google Lens to perform tasks like real-time translation, product identification, and augmented reality applications.
What is the technology behind Google Lens?
- The Definitive Guide to Building RAG Apps with LangChain
- The Definitive Guide to Building RAG Apps with LlamaIndex
- Advanced Techniques in Vector Database Management
- How to Pick the Right Vector Database for Your Use Case
- Retrieval Augmented Generation (RAG) 101
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
How does ARKit work for iOS devices?
ARKit is Apple’s framework that allows developers to create augmented reality (AR) experiences on iOS devices. It works
Is computer vision part of AI?
Yes, computer vision is a core part of artificial intelligence (AI) that focuses on enabling machines to understand and
How is scalability managed in SaaS applications?
Scalability in SaaS applications is primarily managed through a combination of infrastructure design, efficient resource