- TH-OCR SDK
- OCR Text Recognition System
- TH-OCR Minority Document Recognition
Function Introduction
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Recognition of Many Languages
Support recognition of more than ten languages such as Chinese simplified and traditional, Tibetan, Uyghur, Arabic, Kazakh, Kirgiz and so on
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Wide Recognition Character Set
Support the recognition of rare characters, and the recognizable character set is greater than 16000
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Customizable Development Character Set
New character sets can be customized and developed according to user needs
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Multiple Layout Text Analysis
TH-OCR minority document recognition supports horizontal text, vertical text, tables, pictures and other layout text analysis
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Powerful Image Processing Functions
TH-OCR minority document recognition can realize automatic tilt correction, automatic rotation, automatic underline removal, automatic decontamination, automatic cropping and other functions
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Intelligent Filtering of Interference
TH-OCR minority document recognition automatically filters out interference such as tilt, deformation, light change, line pressure, grid, stamp, blur, low resolution, etc.
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Support a Variety of Acquisition Methods
Images captured by cameras such as mobile phones, tablet computers, scanners, high-speed cameras, and digital cameras can be recognized
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Supports Multi-System Applications
Supports applications in various versions of Windows operating systems 32-bit 64-bit, various Linux operating systems 32-bit 64-bit system environment
Product Superiority
The Second Prize of National Science and Technology Progress
- TH-OCR Technology won the Second Prize of National Science and Technology Progress, the First Prize of Science and Technology Progress of the Ministry of Education and many other awards
Serving Multiple Ministries
- Serving the Organization Department of the CPC Central Committee, the Central Commission for Discipline Inspection, the State Administration of Taxation, the Ministry of Public Security, the General Administration of Customs, the Ministry of Foreign Affairs and other ministries and commissions
High Single-Character Recognition Rate
- TH-OCR text recognition SDK supports set-character proofreading and comprehensive proofreading functions, with high single-character recognition rate
Application Scenarios
- Digital processing of archives
- Electronic archives security management system
- Intelligent Hardware
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Digital processing of archives
Connect Wintone Science & technology TH-OCR text recognition SDK with business systems such as information service system, smart office system, and file digitization system, and apply it to the management and digitization of large amounts of data files. By scanning enterprise paper files, it can be exported Double-layer PDF, TXT, WORD, XML, XLS and other format files are convenient for enterprises to edit and find file information, realize digital management of files, and improve efficiency and intelligence.
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Electronic archives security management system
Wintone TH-OCR character recognition SDK is used in computer terminal security inspection system, electronic document security management system, e-mail prevention and control management system, electronic file security management system and other systems. The ultra-high recognition rate provides technical support for data security and risk prevention.
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Intelligent Hardware
The Wintone Science & technology character recognition SDK is embedded in the multi-function all-in-one machine, scanner or other intelligent hardware, which can quickly identify and extract characters during document entry and realize the digital management of enterprise information.
Case
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- License plate recognition camera applied to smart logistics park platform
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- Credential recognition improves telecom authentication efficiency
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- Wintone OCR empowers enterprise dealer system digitization
Online experience
TH-OCR Minority Document Recognition Distinguish
The recommended: size of the image is about 200KB, and the bit depth is more than 24Recommended resolution of scanned image: 300dpi, less than 3m.
- TH-OCR SDK
- Result
- JSON Data
