Also, TestComplete does not recognize text written with special-symbol fonts like Wingdings, Webdings or Marlett.įont smoothing plays an important role in text recognition. Recognition of native-language characters, for instance, Chinese, Japan or Korean hieroglyphs or Cyrillic characters, is not supported. TestComplete can recognize 52 lower-case and upper-case Latin characters, 10 digits, and 31 special characters in almost any font, size or style. You can find more sample scripts in the OCRObject.GetText and OCRObject.FindRectByText topics. You can pass the OCROptions object that stores the recognition settings you have configured to both of these methods.īelow is a simple, one-line TestComplete script that grabs an image of the active window and posts all readable text found in it to the test log. If it can find the text, it will return True and the FoundLeft, FoundTop, FoundHeight, FoundWidth, FoundX and FoundY properties of the OCRObject will contain the parameters of the region where the text was found. FindRectByText takes a string parameter and tries to locate that text in the image.
GetText returns all OCR readable text from the image. To start the character recognition process, call either the OCRObject.GetText method or the OCRObject.FindRectByText method. It accepts a captured screen image that contains the text to be recognized and returns the OCRObject object that is used to perform the text recognition. The OCR object only contains one method: CreateObject. This object is available if the OCR plugin is installed. The TestComplete OCR feature can be scripted using the OCR object. Another example of the character recognition usage in testing is searching for the needed text within the captured image of an application screen. This text can be used to create solid, reliable tests. TestComplete can capture an image of an application screen and use OCR to “read” the text in it and convert it to usable ASCII or Unicode text. Optical Character Recognition is the process of translating images of typewritten text into computer readable text.
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