Aspose.OCR for JavaScript via C++ is a high‑performance Optical Character Recognition (OCR) library that runs directly in the user’s web browser using WebAssembly (Wasm) technology. It enables developers to extract text from scanned pages, photos, screenshots, and other images on client-side web pages or in cross-platform Electron applications — without requiring a backend server. This fully client‑side architecture provides maximum performance, privacy, and security, enforcing browser sandboxing, same‑origin restrictions, and permission policies. The library supports more than 140 recognition languages, including Latin, Cyrillic, Arabic, Persian, Chinese, Hindi, and other Asian scripts. Built‑in preprocessing filters automatically correct skew, distortion, noise, and low contrast, delivering highly accurate text recognition even from challenging images. Aspose.OCR for JavaScript via C++ operates seamlessly across Windows, Linux, and macOS, supporting modern browsers and environments where WebAssembly is available.

Features

Fast and Precise OCR

• High-speed recognition through optimized C++ algorithms compiled to WebAssembly.
• Extract text directly in the browser without server-side processing.
• Supports photos, scanned documents, screenshots, and camera-captured images. Extensive Language Support (140+ languages) Recognizes global writing systems including:
• Extended Latin (English, French, Spanish, German, Portuguese, Italian & 80+ more)
• Cyrillic (Russian, Ukrainian, Kazakh, Serbian, Belarusan)
• Arabic, Persian, Urdu
• Chinese, Japanese, Korean
• Indic/Devanagari scripts (Hindi, Marathi, Bhojpuri, etc.)
• Mixed-language detection supported. Supported Input Formats Works with common scanner and camera outputs:
• JPEG, PNG, TIFF, BMP
• ZIP archives (for batch OCR)
• File uploads in browser
• Web URLs Supported Output Formats Recognition results export to:
• Text
• JSON
• XML Advanced Image Processing Preprocessing filters improve OCR accuracy:
• Skew and rotation correction
• Noise, glare, and distortion removal
• Auto-contrast
• Upscaling and resizing
• Black-and-white and grayscale conversion
• Detection of problematic image areas
• Automatic corrections for photos and mobile captures Specialized OCR Modes
• Photo OCR for mobile images
• Document mode to preserve text layout
• Table mode to handle tabular data extraction
• URL OCR — recognize images from online links
• Customizable recognition alphabet to boost accuracy and performance Client-side Wasm Integration
• Zero server infrastructure required
• Runs entirely on the end user’s device
• Works in modern browsers and Electron apps
• Ensures maximum privacy and compliance Batch OCR Supports multiple file recognition:
• ZIP archives
• Multiple input images
• Various document structures (tables, mixed content, pages)

Benefits

• Enables secure, private, fully client-side OCR without uploading images to a server.
• High-speed processing due to WebAssembly and C++ engine.
• Global multilingual support for diverse applications.
• Works in any modern browser or Electron-based app with no backend dependencies.
• Enhances accessibility, automation, and productivity by converting images to editable text instantly.
• Ideal for form scanning, document digitization, table extraction, data processing, and content creation.
• Reduces infrastructure costs since no server OCR engine is required.
• Easy integration via JavaScript, suitable for web developers of all skill levels.