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2. ASCII art - Wikipedia

   en.wikipedia.org/wiki/Ascii_art

   ASCII art of a fish. ASCII art is a graphic design technique that uses computers for presentation and consists of pictures pieced together from the 95 printable (from a total of 128) characters defined by the ASCII Standard from 1963 and ASCII compliant character sets with proprietary extended characters (beyond the 128 characters of standard 7-bit ASCII).

3. Optical character recognition - Wikipedia

   en.wikipedia.org/wiki/Optical_character_recognition

   Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...

4. Photo-text art - Wikipedia

   en.wikipedia.org/wiki/Photo-text_art

   Photo-text, also written as photo/text, is a hybrid form of artistic expression that combines photography and textual elements to convey a message or create a narrative. This combination allows for a multi-dimensional experience for the viewer.

5. Flux (text-to-image model) - Wikipedia

   en.wikipedia.org/wiki/Flux_(text-to-image_model)

   Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.

6. Handwriting recognition - Wikipedia

   en.wikipedia.org/wiki/Handwriting_recognition

   Handwriting recognition (HWR), also known as handwritten text recognition (HTR), is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices.

7. Image2Text - Wikipedia

   en.wikipedia.org/wiki/Image2Text

   Image2Text technology was created by Cortica, an Israel-based startup whose technology simulates the performance of the human cortex so that computers recognize images with a high degree of accuracy. [1] Image2Text is the result of 10 years in research and development and is protected by more than 50 patents. [2]