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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/net/image-regions/
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  2. Saving recognition results as a file|Documentation

    Saving Aspose.OCR for Python via .NET recognition results as PDF, text, Word, or Excel documents, as well as XML and JSON files....documents between different word processing programs. SaveFormat.HOCR...Add image to the recognition batch input = OcrInput ( InputType...

    docs.aspose.com/ocr/python-net/save-file/
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  3. Skew correction|Documentation

    How to straighten a rotated image to improve recognition accuracy....straightening is critical to the OCR process as it directly affects the...Aspose.OCR offers automated processing algorithms to correct image...

    docs.aspose.com/ocr/java/deskew/
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  4. 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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  5. Memory leak / static cache retention with PSD p...

    Hello, I’m experiencing what looks like a memory leak when using Aspose.PSD 25.8 in my production application. I work in the school and sports photography industry, and my application processes large volumes of PSDs to …...cache retention with PSD processing (v25.8) Aspose.PSD Product...industry, and my application processes large volumes of PSDs to create...

    forum.aspose.com/t/memory-leak-static-cache-ret...
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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. NodeJS OCR - extract text from image in Node.js...

    Aspose.OCR in Node.js extracts text from scanned pages, photos, screenshots, and other sources in JavaScript, Node.js services and serverless applications....; let batch = new Module . WasmAsposeOCRInputs (); batch . push_back...Module . AsposeOCRRecognize ( batch ); // Output extracted text...

    products.aspose.com/ocr/nodejs-cpp/
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  9. 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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  10. 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...
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