What is Image-to-Text?
Technology that analyzes visual content and generates text that defines or describes this content.
Overview
Image-to-text is the process that allows artificial intelligence to see an image, perceive the objects, people, and events within it, and write descriptions in human language. It is widely used in screen readers for the visually impaired or in visual search engines.
How it works
The image is first scanned at the pixel level and broken down into its numerical features by artificial intelligence. Then, the language model kicks in to turn these visual elements into a logical sentence or paragraph.
Where it is used
It is found in automatic caption generation systems of social media platforms, AI-powered search engines, and accessibility tools.
Commonly confused with
It is confused with text-to-image, but it is the exact opposite; while text-to-image generates images from text, this technology generates text from images.
Questions and answers
Can it read handwritten texts?
By working in conjunction with optical character recognition systems, it can also successfully convert text on images into text.
Can it understand complex diagrams?
Advanced multimodal models can also summarize what charts and diagrams mean in text form.
Related terms
This explanation was written in plain language for TreScout with AI and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →