Aspose.OCR for C++ is a powerful C++ library that enables fast, accurate, and flexible optical character recognition on any platform. It converts images, photos, PDFs, and scans into editable and searchable text using minimal C++ code. Designed for desktop, server, embedded, and cloud environments, the library supports 140+ languages—including Latin, Cyrillic, Arabic, Persian, Urdu, Chinese, and several Indian scripts—to extract text from multilingual and mixed-language documents. With robust preprocessing, defect detection, customizable recognition settings, and full batch-processing capabilities, Aspose.OCR for C++ provides a complete solution for enterprise document automation, data extraction, and digitization.

Features

Image-to-Text OCR

• Extract text from JPEG, PNG, TIFF, BMP, and smartphone photos.
• Recognize text from scanned PDFs, multi‑page PDFs, folders, and ZIP archives.
• Convert all supported formats into editable text outputs. 140+ Recognition Languages Supports:
• Latin script: English, Spanish, French, German, Italian, Portuguese, Polish, Indonesian, Vietnamese, Turkish & 80+ more.
• Cyrillic: Russian, Ukrainian, Kazakh, Serbian, Belarusan, Bulgarian.
• Arabic, Persian, Urdu.
• Chinese & Devanagari scripts including Hindi, Marathi, Bhojpuri.
• Auto‑detect mixed languages or manually select for higher accuracy. Photo OCR & Smartphone Image Support
• Extracts text from phone photos with scan-level accuracy.
• Handles rotated, skewed, distorted, low-contrast, or noisy images.
• Automatic image correction and preprocessing. Searchable PDF Creation
• Convert any scanned PDF or image into a fully searchable PDF.
• Create indexable documents for archiving, compliance, and automation. Advanced Recognition Features
• URL recognition — OCR images directly from URLs.
• Any font & style — Detects all major typefaces & formatting.
• Fine-tune recognition — Customize all OCR parameters.
• Spell checker — Automatically correct misspellings.
• Text search — Find keywords or regular expressions inside images.
• Compare image texts — Compare OCR output of two images.
• Limit recognition scope — Restrict detected characters for faster matching.
• Defect detection — Detect low-contrast or problematic image regions.
• Area-based OCR — Recognize only selected regions of an image.
• Batch recognition — Process multiple images, PDFs, or ZIPs in one call. Supported Output Formats
• Text
• PDF
• Microsoft Word (DOCX)
• Microsoft Excel (XLSX)
• RTF
• JSON
• XML Cross‑Platform C++ Power Runs everywhere C++11+ is supported:
• Windows
• Linux
• macOS
• Azure
• AWS
• Docker Easy Installation
• Available via NuGet or direct download as a lightweight archive.
• Minimal dependencies; quick integration into any C++ IDE.
• Trial license available with full functionality for 30 days.

Benefits

• Extract text from images and PDFs with only a few lines of C++ code.
• Achieve high accuracy even on low‑quality or distorted images.
• Supports multilingual and mixed-language documents.
• Automate OCR workflows for large document batches.
• Create searchable PDFs for indexing and compliance.
• Ideal for enterprise document processing, archiving, forms recognition, and data extraction.
• Robust performance with customizable settings for speed vs. accuracy.
• Platform‑independent and suitable for desktop, server, and cloud deployments.