# EasyOCR2 - Reading Complex Texts ## Purpose and Principles **EasyOCR2** is an optical recognition tool designed to read short texts such as serial numbers, expiry dates or lot codes printed on labels or on parts.  It segments pixels then detects text blobs and sets textboxes over the detected blobs following a user-defined topology.  The topology specifies the number of lines, words and characters in the text. You can also specify a character type (letter, digit and/or symbol) for each character in the text, to improve the recognition rate and speed. **EasyOCR2** supports up-to-360-degree rotated texts, non-uniform illumination and textured backgrounds as well as dot-printed or fragmented characters. To recognize characters, **EasyOCR2** uses a pretrained classifier, powered by deep learning technologies, or a classifier that was trained on your character database. For each input character: * The classifier calculates a score for all candidate outputs. * It returns the candidate with the highest score as the recognition result.  ## Workflow ### Learning Mode  ### Production Mode  ## Contents Learn how to use **EasyOCR2**. Learn how to correctly setup the parameters of **EasyOCR2**. ## Quick Links List of all Classes, Structs and Enumerations of the **EasyOCR2** library. Code snippets for the **EasyOCR2** library. #### SEE ALSO Some **eVision Studio** samples illustrate several aspects of the **EasyOCR2** library: * `EasyOCR2 text reading with a database classifier`: Uses **EasyOCR2** to loads an image and uses a character database to read it. * `EasyOCR2 text reading with a deep learning recognizer`: Uses **EasyOCR2** to loads an image and uses the deep learning recognizer ‘Industrial’ to read it.