![]() ![]() If a space between words is "faked" by a character spacing value this strategy is not able to recognize this as a word separator. The size of this gap is defined by the average width of the space character of both text items devided by a factor defined in the $spaceWidthFactor property. This is done by checking for a gap between both items on their ordinate. One could use makedict function to construct his(her) own dictionary with a character vector containing the vocabularies. The resulting text string is created by running through the sorted and grouped result and comparing the last item with the current one to decide if both text items build a continuity segment. This result is sorted and grouped (by default via the base line sorter) into lines and orientations then. Or a word splitted over several text items is processed as several individual items. This means that several words in a single text item are processed as a whole. The items are taken as they appear in the PDF data stream. You can think of text detection as a specialized form of object detection. ![]() These relations can be of different types. The plain text strategy extracts all defined text items including their metrics into a temporary result. Text detection is the process of localizing where an image text is. Relation Extraction (RE) is the task of extracting semantic relationships from text, which usually occur between two or more entities. ![]() The result will be a standard PHP string. It is represented by the class SetaPDF_Extractor_Strategy_Plain.īy default the text items are sorted by the baseline sorter but another or individual sorter instance can be passed through the setSorter() method. The plain text strategy is the default strategy used by the SetaPDF-Extractor component and allows you to extract plain text from PDF documents. ![]()
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