OCR ​

Overview ​

OCR (Optical Character Recognition) is the process of converting images of typed, handwritten, or printed text into machine-encoded text.

OCR is commonly used for text recognition and extraction from the following types of documents:

• Non-editable scanned PDF files
• Photographs of documents.
• Scene photos such as advertising layouts, signboards, etc.
• Identification cards, passports, vehicle license plates, and other official plates.
• Invoices, bills, receipts, and other financial documents.

The following features support OCR:

• PDF to Word
• PDF to Excel
• PDF to PowerPoint (PPT)
• PDF to HTML
• PDF to Rich Text Format (RTF)
• PDF to Text (TXT)
• PDF to CSV
• Text extraction from PDF
• Table extraction from PDF

OCR Language Support of ComPDFKit Conversion SDK:

Whether to include OCR background image ​

When the OCR function is enabled and the target conversion format is Word, PPT, RTF, or HTML, you need to pay attention to whether to set the IsContainOCRBgImage option. If the IsContainOCRBgImage option is selected, a large image will be written in the target document as a background image. Text and tables will be displayed on this background image. If the IsContainOCRBgImage option is not selected, the images on the PDF page will be extracted and written into the target document.

Convert images to other document formats ​

The OCR function also supports converting input images into Word, Excel, PPT, HTML, CSV, RTF, TXT, Json and other formats. This sample demonstrates how to use the ComPDFKit OCR function to convert image files to DOCX file.

// Set OCR model path.
LibraryManager::SetOCRModelPath("path/model");
// Set OCR language.
LibraryManager::SetOCRLanguage(OCRLanguage::ENGLISH);

ConvertOptions opt;
// Enable the OCR option and set it not to include OCR background image.
opt.enable_ocr = true;
opt.contain_ocr_background_image = false;
// support jpg, jpeg, png, bmp format
PDFToOffice::StartPdfToWord("input.png", "", "path/output", opt, progress);

Note ​

• The quality of OCR results is related to the quality of the input image. If the input image resolution is lower, then the quality of the OCR results will also be affected. A good way is that the more pixels in the glyph, the better. If the glyph bounding box is smaller than 20x20 pixels, the OCR quality will begin to decline exponentially. The ideal image is a grayscale image with a resolution of around 300 DPI.
• When performing OCR recognition, you need to pay attention to setting the OCR language and ensure that the selected OCR language is consistent with the language of the PDF document to obtain the best OCR conversion quality.
• When the OCR option is enabled, the contain_image option will no longer work. At this time, the pictures in PDFs are controlled by the contain_ocr_background_image.
• When using the image conversion to other document format function, please pay attention to the input image format support: JPG, JPEG, PNG, BMP.
• The OCR function currently does not support operating systems lower than Windows 10.

Sample ​

This Sample demonstrates how to use the ComPDFKit OCR function to convert a PDF to DOCX file.

// Set OCR model path.
LibraryManager::SetOCRModelPath("path/model");
// Set OCR language.
LibraryManager::SetOCRLanguage(OCRLanguage::ENGLISH);

ConvertOptions opt;
// Enable the OCR option and set it not to include OCR background image.
opt.enable_ocr = true;
opt.contain_ocr_background_image = false;
PDFToOffice::StartPdfToWord("word.pdf", "password", "path/output", opt, progress);