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batch processing

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  1. Working with image regions|Documentation

    Automatic detection of text bounding boxes and extraction of text inside image rectangles....This is very useful for batch processing uniform documents such...

    docs.aspose.com/ocr/java/image-regions/
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  2. Node.js via .NET Word Document Processing API –...

    Node.js library provides functionality for comprehensive manipulation of Word documents, allowing developers to create, edit, and convert various file formats such as DOCX, PDF, EPUB, and others....for Advanced Word Document Processing Use Node.js to create, edit...API is a reliable document processing solution for developers seeking...

    products.aspose.com/words/nodejs-net/
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  3. Color inversion|Documentation

    How to swap colors in an image using Aspose.OCR for Python via .NET to improve recognition accuracy....NET provides the automated processing filter that inverts colors...the image through invert processing filter. # Instantiate Aspose...

    docs.aspose.com/ocr/python-net/invert/
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  4. Manipulating WebP Images|Documentation

    Class Libraries & REST APIs for the developers to manipulate & process Files from Word, Excel, PowerPoint, Visio, PDF, CAD & several other categories in Web, Desktop or Mobile apps. Develop & deploy on Windows, Linux, MacOS & Android platforms.... Batch export to WebP Batch (sequential) export...export mode at all Batch (or sequential) export mode eliminates...

    docs.aspose.com/imaging/java/manipulating-webp-...
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  5. Median filter|Documentation

    How to smooth out noise in an image using Aspose.OCR for Python via .NET before applying other Processing filters or performing OCR....algorithms and prevent other processing filters from working properly...auto-contrast or binarization processing filters. The median filter...

    docs.aspose.com/ocr/python-net/median/
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  6. Developer's reference|Documentation

    For developers, by developers. Find answers in Aspose.OCR for Python via .NET developer's reference and start building your OCR applications.... A full-cycle OCR process involves 5 main stages: Preparing...for recognition : Prepare a batch of images, scanned PDFs, URLs...

    docs.aspose.com/ocr/python-net/developer-refere...
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  7. Noise removal|Documentation

    How to remove dirt, spots, scratches, glare, and other image defects using Aspose.OCR for Python via .NET to improve recognition accuracy....NET provides automated processing algorithms that remove noise...image through auto_denoising processing filter. # Instantiate Aspose...

    docs.aspose.com/ocr/python-net/denoise/
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  8. Conversion to grayscale|Documentation

    How to convert source images to grayscale using Aspose.OCR for Python via .NET before recognition....Grayscale allows images to be processed more efficiently, resulting...improve the results of other processing filters, such as automatic...

    docs.aspose.com/ocr/python-net/grayscale/
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  9. Manipulating WebP Images|Documentation

    Class Libraries & REST APIs for the developers to manipulate & process Files from Word, Excel, PowerPoint, Visio, PDF, CAD & several other categories in Web, Desktop or Mobile apps. Develop & deploy on Windows, Linux, MacOS & Android platforms.... Batch export to WebP Batch (sequential) export...export mode at all Batch (or sequential) export mode eliminates...

    docs.aspose.com/imaging/net/manipulating-webp-i...
    more..

  10. Language detecton|Documentation

    How to detect the languages used on the provided image....Add image to the recognition batch input = OcrInput ( InputType...Add image to the recognition batch input = OcrInput ( InputType...

    docs.aspose.com/ocr/python-net/language_detection/
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