What does OCR mean in NASA

Optical Character Recognition (OCR) is a technology used for recognizing text from images such as scanned documents, PDFs or photos to create digital copies of them. It accurately extracts text from the image and stores it in a text-based format like Microsoft Word, Text or HTML.

An OCR program works by reading an image file and processing it for the recognition of specific characters. The software uses advanced algorithms to match the shapes of identified characters to its list of known characters. If successful, it will convert those characters into machine-readable code such as ASCII or Unicode that can be read and edited with any text editor.

OCR supports many different types of image formats including JPEG, PNG, BMP, GIF and TIFF. Additionally, OCR can also recognize certain document file types such as PDFs and DOCX files.

Yes, a good quality scanner is required for capturing images in order to use Optical Character Recognition (OCR). Additionally, an appropriate text-editing software is needed to export the recognized output in either plain text or other machine-readable formats like HTML or XML.

Accuracies vary depending on the system used; some systems are more accurate than others. Generally speaking however most systems can achieve accuracies between 80% and 95%. Further accuracy improvements may also be obtained through manual correction of errors made during automated recognition processes.

Most modern Optical Character Recognition systems can recognize multiple languages ranging from English to Chinese, Japanese and Korean among many others. Some specialized programs can even recognize handwritten scripts from different language sources too!

That depends largely on one’s individual requirements; desktop applications typically provide greater control over inputting images (and thus more control over resulting output) whereas web services offer more convenience but at the expense of longer processing times per image due to their distributed nature.