EasyOCR is a font-dependent printed character reader based on a template matching algorithm. It supports training of the font to be recognized by showing sample images of all possible characters. For this reason, it is able to read any kind of short text (serial numbers, labels...) such as those found in industrial environments.

The training phase uses an interactive utility to show samples of the characters and store them in a font file. Such a font editor is available, ready-made, in Open eVision Studio. Moreover, EasyOCR provides the means for you to write your own, custom, font editor.

EasyOCR also provides three standard fonts: OCR-A, OCR-B and Semi. This avoids a training phase when having to recognize a text using one of these fonts.

EasyOCR uses blob analysis functions to segment the image and extract the characters constituting the text to be read. Blobs are elected as characters based on tunable size and shape criteria. Moreover, EasyOCR is able to deal with characters which are split into several blobs. When the exact position of the characters in the image is unknown, EasyOCR functions will process the entire image and locate the characters.