Smart Document Engine OCR system employs cutting-edge artificial intelligence techniques to identify and convert text from images, whether they are photos or scans. The system has the capability to automatically detect and recognize printed text in more than 100 languages, including English and those with Latin alphabets, Arabic, Greek, Armenian, Chinese, Japanese and more, making it highly adaptable to diverse problem.
Developed by our team of scientists and engineers as part of our Green AI initiative, our GreenOCR® technology boasts speed and accuracy of recognition with minimal power consumption and environmental impact. The system can recognize up to 15 pages per second on the server without GPU, and can fully process an A4 sheet photo in just 3-4 seconds on a smartphone, while maintaining the highest level of accuracy.
Smart Document Engine can even recognize text on documents that have been folded or crumpled, making it a powerful tool for turning your smartphone into an instant scanner, replacing the need for traditional flatbed scanners.
The Smart Document Engine is a remarkable tool that offers flexible integration of full-text recognition into your company’s current activities. The software (SDK) can be easily and conveniently integrated into existing business processes without disrupting the usual user experience. The solution is available for integration with a variety of information systems.
Full-text recognition is crucial for document input for electronic document management systems, business process management systems, electronic archives, and RPA-systems.
With the Smart Document Engine’s high speed and accuracy in data extraction, you can elevate the automation of document processing to a whole new level.
Source image
Recognition results (per line)
Smart Engines software:
AI functions autonomously, without the need for cloud solutions (SaaS) or third-party services. It is private, secure, and works 100% on-device/on-premise.
No wasting time and money on employee errors with the latest high-precision GreenOCR®, developed by scientists of our company
On a 32-core HPC without a GPU, the full-text recognition speed reaches 15 pages per second
Windows, Linux, macOS, React Native, Flutter, Android, iOS, etc. on x86, x86_64, ARMv7-v8 (AArch32 and AArch64), MIPS (MIPS32 and MIPS64) CPU architectures
Recognizes text data in 100+ languages including Latin, Arabic, Armenian, Persian, Urdu, Japanese, Chinese, Korean, and others
The software (SDK) has a small footprint and doesn’t demand substantial computing resources or excessive memory usage. It seamlessly integrates into current business workflows without any complications.
Robust to capturing conditions such as camera angles, camera distortions, or lighting, and created to run on edge devices with unprecedented speed and quality
Smart Document Engine is delivered as an autonomous full-text recognition SDK (software development kit) which contains all the necessary precompiled libraries, programming interface documentation and integration examples for various programming languages. Developers are provided with a simple but multifunctional API (application programming interface), which allows to integrate the document recognition solution into the client’s software using languages C++, C#, Java, Python and Objective-C for a wide range of systems: iOS, Android, Linux, Windows, MacOS, etc. The following hardware platforms are supported: x86_64, ARM v7, v8 (Aarch32, Aarch64), MIPS. It is possible to connect to the popular RPA frameworks.
Smart Document Engine can be bundled with Smart ID Engine to provide functionality for entering ID documents data, the solution provides high quality and fast recognition of more than 2484 document types. Recognition of codified objects such as machine-readable zones (MRZ) and barcodes is available through the use of Smart Code Engine.
Any printed text document.
Abkhaz, Afrikaans, Albanian, Armenian, Aymara, Azerbaijanian, Belarusian, Berber (Latin alphabet), Bosnian, Bulgarian, Cantonese, Castilian, Catalan, Chewa (Latin alphabet), Chibarwe (Latin alphabet), Chichewa (Latin alphabet), Comorian (Latin alphabet), Croatian, Czech, Danish, Dutch, English, Estonian, Fiji Hindi (Latin script), Fijian, Filipino, Finnish, French, Georgian, German, Greek, Haitian Creole, Hebrew, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Kazakh, Kinyarwanda, Kirundi, Korean, Kyrgyz, Latvian, Lithuanian, Luxembourgish, Macedonian, Malay (Latin alphabet), Maltese, Mandarin, Maori, Moldovan, Mongolian (Cyrillic alphabet), Nauruan, Ndau, Ndebele, Northern Sotho, Norwegian, Ossetian, Palauan, Polish, Portuguese, Quechua, Romanian, Russian, Serbian, Seychellois Creole, Shangani, Shona, Slovak, Slovene, Somali (Latin alphabet), Sotho, Southern Ndebele, Spanish, Swahili (Latin alphabet), Swazi, Swedish, Thai, Tajik, Tamazight (Latin alphabet), Tetum, Tok Pisin, Tonga, Tsonga, Tswana, Turkish, Turkmen, Ukrainian, Uzbek, Woleaian, Xhosa, Zulu.
Mobile SDK includes React Native and Flutter integration interfaces.
Integration with other programming languages and frameworks (such as Go, Perl, Xamarin, etc.) is ensured by using the API in C
The SDK already contains examples of using Smart Document Engine in Java / Python / C++ / C / Swift / Objective C / C# / Java / PHP.
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pricing and trial SDK for Android, iOS, Linux, Windows.