- General OCR
- Handwriting Fonts Recognition
- TH-OCR SDK
- Arabic OCR
Function Introduction
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1:1 reduction of reconstructed forms
Supports automatic recognition of analyzed forms and 1:1 reduction of reconstructed forms to ensure data integrity
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OCR Recognize newspapers and magazines with different layouts
OCR Recognizes the contents of newspapers and magazines with different layouts and accurately reproduces the original layout.
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Support a variety of collection methods
Images acquired through cell phones, tablet PCs, high-frequency cameras, scanners, digital cameras and other means can be recognized.
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Ocr recognizes multiple languages with wide character sets
Supports ocr recognition of printed simplified Chinese, handwritten simplified Chinese, printed traditional Chinese, handwritten traditional Chinese, rare characters, mixed text of handwritten and printed Chinese, and general English.
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Supports ocr recognizing and exporting images/files in various formats
Support for ocr recognizing BMP, JPG, JPEG, PNG, PDF and other mainstream image formats; export JSON, TXT, double PDF and other formats of the file
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Automatically rotate images
TH-OCR text recognition supports 45 °, 90 °, 180 °, 270 ° and other multi-angle picture rotation.
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Can be integrated with a variety of system applications
Provide standard API interface to realize rapid integration with archive, OA, ERP and other application systems.
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Multiple deployment methods
Support both B/S end service deployment and PC end SDK integration deployment
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Support for CPU and GPU hardware configuration deployment
Support CPU and GPU hardware configuration deployment under the same identification performance, saving hardware investment costs.
Product Superiority
Expanding applications
- Support to expand the application with AI scanners and other hardware products to achieve the management and digitization of large amounts of data files
Automatically Image Rectification
- Support automatically rectify the tilt image cased by scanning
Support layout analysis and layout restoration
- Supports automatic layout analysis of images and 1:1 restoration of layout format and information according to the analysis results.
OCR Intelligent Recognition
- Online recognize the text characters location and font size ，can recognize multiple PDF file
Support Uncommon Words Recognition
- High Accuracy Recognition a various of uncommon words
Remove Underline, Filter Color and Recognize
- Filter image pink and red interference background color
Ensure Data Security
- Deploy with enterprise intranet to meet users' requirements for data security
Fast OCR Recognition
- Single image can be recognized within a second, recognition accuracy is as high as 99%
Wide Range of Application
- State Intellectual Property Office, Geological Survey Bureau, etc., have integrated Sinosecu OCR text recognition into enterprise application system
Support localization environment deployment
- Supports the adaptation of a variety of localized operating systems
Application Scenarios
- Electronic Archives Security Management System
- System Office Software
- File Digital Processing
- Smart Hardware
- Contract Management
- Large model
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Electronic Archives Security Management System
Our OCR text recognition system can be applied to computer terminal security inspection system, electronic document security management system, mail prevention and control management system, electronic archive security management and other systems. Our product’ ultra-high recognition rate provides efficient technical support for data security and risk prevention.
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System Office Software
The OA software office system is an necessary software tool for enterprises. Our OCR SDK is embedded in the OA office software and installed on the client together with the OA software to provide terminal customers with the text extraction function of official documents or internal data, which is convenient to operate , improve overall work efficiency and save labor costs.
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File Digital Processing
Our OCR text recognition system can be connected with business systems such as information service systems, smart office systems, and file digitization systems which can be applied to the management and digitization of large amounts of data files. By scanning corporate paper files, you can export double-layer PDFs, TXT, WORD, XML, XLS and other format files are convenient for enterprises to edit and find file information, realize digital file management, and improve efficiency and intelligence.
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Smart Hardware
Our Character Recognition SDK can be integrated into a multifunction machine, scanner or other intelligent hardware, which can identify and extract characters quickly of inputting documents, and realizing the digital management of enterprise information.
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Contract Management
Our OCR intelligent recognition technology can be applied into the contract comparison, which recognizes the text information in the contract, extracts the key information in the contract text automatically,and it can identify the position and size of the word in the original text, and outputs the image recognition into an editable file format to store so as to realize that the computer review and comparison by replacing manual processing which solves the problem of high manual review time cost and high labor cost in contract management work.
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Large model
Sinosecu OCR recognition technology combined with big models can more accurately recognize and classify information by understanding the overall content and structure of documents, thus significantly improving the efficiency of document retrieval and management. For example, the deep learning model can understand complex document layouts, automatically extract key information, handle various text and layout styles, and ensure the quality and editability of the converted electronic text, greatly reducing the time and cost of manual operations.
Case
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- How does Traditional Hotels Transform into Smart Hotels
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- The Combination and Verification of Person and Document in the Hotel
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- ID Card Reader Increases Hotel Occupancy
Online experience
TH-OCR SDK 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
