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Document SDK - OCR

Convert Scanned Documents to Searchable PDFs with OCR

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Digitize and extract document content

Extract text from scanned documents and images, process multilingual content, and improve extraction accuracy through image preprocessing and OCR workflows.

Extract text from documents in .NET

Extract text from scanned documents

Convert scanned PDFs and images into searchable, machine-readable content. Use this feature when information stored in image-based documents needs to be indexed, searched, or processed automatically.

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Multi-Language recognition in .NET

Recognize text in multiple languages

Process scanned PDFs and images in multiple languages using OCR language models. Use this feature when processing multilingual documents across international business operations.

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Image enhancement .NET

Enhance images for better recognition

Enhance scanned PDFs and images for OCR using image preprocessing features such as deskewing, denoising, and contrast enhancement. Use this feature when low-quality scans impact text recognition results.

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Frequently Asked Questions

Yes. The PDF Library performs OCR locally within your application without requiring external cloud OCR services or third-party providers.

Yes. The Document SDK recognizes text in multiple languages with automatic language detection and supports documents containing different languages within a single processing workflow.

Yes. The Syncfusion PDF Library automatically detects and corrects rotated or skewed pages before OCR, helping improve text recognition accuracy on scanned documents.

Yes. The PDF Library OCR processor converts image documents (JPG, PNG) and scanned PDFs into fully searchable PDF files with recognized text embedded and indexed.

Yes. With Document SDK, you can extract text from specific areas of a document image, control which characters are recognized, and capture text along with its location.

Yes. The Document SDK is purpose-built for enterprise-scale document processing, document automation platforms, and high-volume document workflow systems.

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Awards

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