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recognize text

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  1. Saving recognition results into a stream|Docume...

    Saving the recognition results of multi-page documents (PDF, Word, and so on) into a memory stream.... This can be useful for recognizing books, contracts, articles.... add ( "scan.pdf" ); // Recognize a document ArrayList < RecognitionResult...

    docs.aspose.com/ocr/java/save-stream/
  2. Color inversion|Documentation

    How to swap colors in an image using Aspose.OCR for Python via .NET to improve recognition accuracy....working with white (or light) text on a black (or other dark) background..."result" ) # Recognize the image result = api . recognize ( input...

    docs.aspose.com/ocr/python-net/invert/
  3. DetectAreasMode.TABLE|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.TABLE algorithm....structures on an image and extracts text from cells. This areas detection...dealing with large amounts of text, such as pages from books and...

    docs.aspose.com/ocr/net/areas-detection/table/
  4. Recognition languages|Documentation

    How to specify the language that is used by the Aspose.OCR recognition engine....languages Contents [ Hide ] To recognize text in certain languages, you...Cyrillic text recognition: aspose-ocr-cyrillic-v1 Chinese text recognition:...

    docs.aspose.com/ocr/java/languages/
  5. Working with custom dictionaries|Documentation

    How to create and apply custom dictionaries for Aspose.OCR spell checker....Contents [ Hide ] The recognized text may contain specialized...correct. For example, if the text contains the phrase “Helloo...

    docs.aspose.com/ocr/java/dictionaries/
  6. DetectAreasMode.UNIVERSAL|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.UNIVERSAL algorithm....works best with sparse irregular text, including street photos and...screenshots. It detects smaller text areas in an image, such as individual...

    docs.aspose.com/ocr/python-net/areas-detection/...
  7. DetectAreasMode.UNIVERSAL|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.UNIVERSAL algorithm....irregular text and low-quality photos. It detects smaller text areas...more. It can also detect small texts such as notes, signatures or...

    docs.aspose.com/ocr/java/areas-detection/photo/
  8. Stages of the OMR process|Documentation

    Three major stages of Aspose.OMR workflow are: designing the content and layout, generating a printable form and recognition pattern, and performing optical mark recognition (OMR)....from designing a form to recognizing its filled hardcopies. The...and layout of the form using text or JSON notations, or directly...

    docs.aspose.com/omr/net/omr-stages/
  9. DetectAreasMode.MULTICOLUMN|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.MULTICOLUMN algorithm....for handling large amounts of text arranged in multiple columns...detection methods that treat text as a single column, this approach...

    docs.aspose.com/ocr/net/areas-detection/multico...
  10. Stages of the OMR process|Documentation

    Aspose.OMR for C++ supports the complete OMR workflow: designing machine-readable form, generating a printable questionnaire, and performing optical mark recognition....the form using the specialized text markup language or JSON notation...shared with respondents. Recognize Recognize optical marks on scans...

    docs.aspose.com/omr/cpp/omr-stages/