Aspose.OCR for .NET is an AI-powered optical character recognition library designed to extract text from images, scans, smartphone photos, PDFs, and documents with high accuracy. Supporting over 140 recognition languages—including English, Cyrillic, Arabic, Persian, Chinese, Japanese, Korean, Hindi, Tamil, and multilingual combinations—it delivers industry‑grade OCR capabilities with just a few lines of C# code. The library works across all .NET platforms, including .NET, .NET Core, and .NET Framework, and runs on Windows, Linux, macOS, Azure, AWS, and Docker. It enables developers to convert images into text, create fully searchable PDFs, read images in batches, work with multi‑page documents, and apply AI‑enhanced postprocessing using large language models (LLMs).

Features

Global OCR Capabilities

• Recognizes 140+ languages (Latin, Cyrillic, Arabic, Persian, Urdu, Chinese, Japanese, Korean, Hindi, Tamil, etc.).
• Supports mixed‑language documents such as Arabic/French or Chinese/English. High‑Accuracy OCR Processing
• Extracts text from images, scans, PDFs, and smartphone photos.
• Maintains reliability regardless of font, style, orientation, warp, or distortions.
• Powerful preprocessing: dewarping, contrast correction, noise reduction. AI‑Powered Postprocessing (LLM Integration)
• Correct spelling, grammar, and formatting using transformer‑based language models.
• Normalize noisy OCR output across multi‑page documents.
• Customize output using subject‑specific prompts.
• Plug in any external LLM pipeline. Text Recognition Features
• Extract text from images and scanned PDFs.
• Create searchable PDF documents.
• Recognize text from URLs without downloading locally.
• Detect and read text inside photos at scan‑level accuracy.
• Search for text inside images (supports regex & case‑insensitive search).
• Compare text between two images.
• Detect and recognize mathematical formulas. Supported Input Formats Images & documents:
• JPEG, PNG, TIFF, BMP, GIF
• Scanned PDFs (multi‑page)
• DjVu
• ZIP archives, folders Supported Output Formats
• Text (TXT)
• Searchable PDF
• Word (DOCX)
• Excel (XLSX)
• HTML, RTF, EPUB
• JSON, XML, CSV Batch & Multipage OCR
• Read all pages of PDFs, DjVu files, and image folders at once.
• Save all pages in a single searchable PDF or export page‑by‑page. Performance & Optimization
• Balance quality vs. speed through adjustable OCR modes.
• Multithreaded recognition.
• GPU acceleration for CUDA‑enabled systems.
• Fine‑tune recognition settings via customizable parameters. Cross‑Platform Compatibility Runs in any .NET environment:
• Windows, Linux, macOS
• Docker
• Azure
• AWS
• .NET desktop, web, and serverless apps

Benefits

• Extract text from images with minimal C# code.
• Build fully automated OCR workflows without manual retyping.
• Create searchable PDFs for document management and compliance.
• Process large image archives and multi-page documents efficiently.
• Recognize multilingual content with high accuracy.
• Improve OCR quality using AI-based correction and LLMs.
• Integrate OCR into cloud, desktop, web, or microservices environments.
• Ideal for digitization, data extraction, archives, legal, finance, healthcare, and enterprise document processing.