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auto detection

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  1. Import Presentations from PDF or HTML in C++|As...

    Effortlessly import PDF and HTML documents into PowerPoint and OpenDocument presentations in C++ with Aspose.Slides for seamless, high-performance slide processing....PDF to PowerPoint operation: auto pres = System :: MakeObject...HTML to PowerPoint operation: auto presentation = System :: MakeObject...

    docs.aspose.com/slides/cpp/import-presentation/
  2. AsposeAI Table correction|Documentation

    Improve OCR accuracy by applying LLM‑powered table layout output....performs AI-powered table detection and layout correction. Usage:...model to improve table layout detection and formatting. ILogger logger...

    docs.aspose.com/ocr/net/ai/ai-table/
  3. detect_areas_mode_enum::UNIVERSAL|Documentation

    How Aspose.OCR determines the structure of a document using the detect_areas_mode_enum::UNIVERSAL algorithm....Ask AI detect_areas_mode_enum::UNIVERSAL Contents [ Hide ] On...to use this document areas detection algorithm: // Provide the...

    docs.aspose.com/ocr/cpp/areas-detection/universal/
  4. Read QR from Image in Java: a Complete Develope...

    Learn how to read QR from image in Java using Aspose.BarCode SDK. This step‑by‑step guide covers setup, code example, configuration, and performance tips....powerful SDK that simplifies QR detection and decoding on the server...h); // Optional: improve detection for low‑contrast images reader...

    blog.aspose.com/barcode/read-qr-from-image-in-j...
  5. LoadOptions.load_format property | Aspose.Words...

    LoadOptions.load_format property. Specifies the format of the document to be loaded...AUTO . @property def load_format...LoadFormat.AUTO value and let Aspose.Words detect the file format...

    reference.aspose.com/words/python-net/aspose.wo...
  6. AsposeAI Table correction|Documentation

    Improve OCR accuracy by applying LLM‑powered table layout output....performs AI-powered table detection and layout correction. Usage:...model to improve table layout detection and formatting. modelConfig...

    docs.aspose.com/ocr/python-net/ai/ai-table/
  7. Chat templates|Documentation

    Eight vision chat templates Aspose.LLM for .NET recognizes and selects Automatically — LLaVA, Qwen2VL, Qwen3VL, Pixtral, InternVL, Gemma3, Llama4, MiniCPMV....and turn format match the detected model family. If no template...matching template: Preset Template auto-selected Qwen25VL3BPreset Qwen2VL...

    docs.aspose.com/llm/net/developer-reference/mul...
  8. Extracting text inside a rectangle|Documentation

    Extract text located inside areas of the image provided by coordinates....paragraph , line or word detection. To extract text from one...Extract text from the image auto result = asposeocr_recognize...

    docs.aspose.com/ocr/cpp/image-regions-extract/
  9. Supported acceleration|Documentation

    Hardware acceleration backends supported by Aspose.LLM for .NET — CUDA, HIP, Metal, Vulkan, and CPU — with a platform × backend matrix.... Auto-detection When PreferredAcceleratio...Apple Silicon Mac Metal (auto-detected) Intel iGPU Vulkan No GPU...

    docs.aspose.com/llm/net/product-overview/suppor...
  10. Recognition|Documentation

    Extracting text from images, web links, scanned PDFs, folders, and other content....Extract text from the image auto result = asposeocr_recognize...result ); Document areas detection Detecting image defects Analyzing...

    docs.aspose.com/ocr/cpp/recognition/