Text Recognition – Extracting Text from Documents

Text recognition, or optical character recognition (OCR), is used to automatically recognize text in documents such as Word or PDF files. OCR eliminates the arduous and time-consuming need to manually transcribe a text for further processing. A document’s content is extracted using automated text recognition and can be searched digitally where stored in a Digital Asset Management (DAM).

Terracotta facade with vertical fins in natural daylight. — Example: text extracted from a product data sheet.

Two documents, found through the same material code in their contents.

Text recognition with AdmiralCloud – save time processing and searching

With AdmiralCloud’s DAM, documents such as Word or PDF files are indexed using automated text recognition as soon as they are uploaded so that they can be searched for in a media library. Any term found in the respective document can be searched. This makes adding documents to a media library faster and more efficient and means they can be found instantly via a full-text search.

Following OCR, the document’s content is available as plain text. Extracts from the text can be easily copied and processed further later. This saves having to download and open respective documents to extract the text you want.

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