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?
- Natural Language Processing (NLP) Advanced Guide
- Getting Started with Milvus
- The Definitive Guide to Building RAG Apps with LlamaIndex
- Exploring Vector Database Use Cases
- How to Pick the Right Vector Database for Your Use Case
- 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
What is the difference between OLTP and OLAP in SQL?
OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) are two types of systems used in data manag
How does speech recognition handle multiple languages?
Speech recognition systems handle multiple languages through a combination of language models, acoustic models, and user
What are the top trends in cloud computing?
Cloud computing is continuously evolving, and several key trends are shaping its trajectory. One significant trend is th