Text extraction differs from text classification, in that text classification reads a text for meaning, then assigns predefined tags, based on the content, to categorize texts by topic, sentiment, language, etc. Text-from-image extraction, otherwise known as optical character recognition (OCR) (to lift text directly from an image, for example, PDFs) Named entity extraction (to identify names of people, places, or businesses) Keyword extraction (to identify the most relevant words in a text) Try out this free keyword extraction tool to see how it works. ![]() ![]() Most simply, text extraction pulls important words from written texts and images. Text extractors use AI to identify and extract relevant or notable pieces of information from within documents or online resources.
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