OCR for video and pictures

A multilingual OCR module designed for high-accuracy text recognition from both images and video streams. The solution supports real-time and offline processing, enabling extraction of printed and digital text across multiple languages and writing systems.

Key capabilities include:

• Recognition of text from images, scanned documents, screenshots, and live or recorded video
• Multi-language support with automatic language detection
• High-performance OCR optimized for low-latency video frame processing
• Support for Latin, Cyrillic, Asian, Arabic, and mixed-language content
• Detection and extraction of subtitles, overlays, captions, license plates, forms, receipts, and documents
• Frame-by-frame video analysis with timestamp synchronization
• Advanced preprocessing for noisy, blurred, rotated, or low-resolution content
• Batch processing and scalable API integration
• Structured output in JSON, XML, plain text
• GPU acceleration support for high-throughput workloads

The module can be integrated into media platforms, surveillance systems, document management solutions, automation pipelines, compliancetools, analytics platforms, and AI-driven content indexing systems.

Typical use cases include:

• Video subtitle extraction
• Automated document digitization
• Real-time translation workflows
• Media monitoring and content moderation
• License plate and identity document recognition
• Searchable video archives
• Data extraction from invoices, forms, and receipts

Built with scalability and integration flexibility in mind, the OCR module provides SDK and API support for backend services, cloud deployments, and edge devices.