Image text recognition, or Optical character recognition (OCR), is a machine learning technology that enables computers to identify and extract text from digital images. It involves using advanced algorithms to analyse an image and locate text within it, before translating the text into digital form that can be processed by an application. In custom app development, image text recognition can be used for a wide range of applications, including:
Image search: With image text recognition, an app can allow users to search for images based on the text contained within them. For example, a user could search for an image of a particular product by typing in the product name.
Document scanning: Image text recognition can be used to scan documents and extract the text from them, allowing users to convert paper documents into digital format.
Language translation: An app that uses image text recognition can translate text within an image into another language, allowing users to understand content that is written in a language they do not speak.
Accessibility: For visually impaired users, an app that uses image text recognition can read aloud the text within an image.
Text recognition in videos: Image text recognition can also be used to recognize and extract text from videos, making it easier to search for specific content within a video.
Overall, image text recognition is a powerful technology for custom app development that can provide valuable insights and improve the user experience. By leveraging image text recognition algorithms and models, developers can build apps that can analyze and understand visual data, making it easier to access, search, and understand digital content.
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