04.6.06 AI Image To Text
Image to Text technology is widely used in a variety of applications where textual information needs to be extracted from visual sources to automate, increase efficiency, and improve accessibility. Examples of use cases:
- Document digitization: converting paper documents such as books, journals, invoices and forms into editable text format for further processing, archiving and retrieval.
- Data Entry Automation: extracting text from images to automatically populate forms, spreadsheets or databases, saving time and reducing the likelihood of manual entry errors.
- Accessibility for people with disabilities: convert text from images to speech or text to read aloud, helping people with visual impairments or other disabilities.
- Search and indexing: extract text from images and index it to make it easier to find and navigate large sets of documents.
- Analytics and Intelligence: extracting key information such as addresses, phone numbers, dates, etc. from images for further analysis and decision making.
- Translation: converting text from images in one language to another to facilitate cross-lingual communication.
The AI: Image To Text node group includes the nodes: