- Printing Fonts Recognition
- Handwriting Fonts Recognition
Customizable Development Character Set
New character sets can be customized and developed according to user needs
Powerful Image Processing Functions
TH-OCR text recognition SDK can realize automatic tilt correction, automatic rotation, automatic underline removal, automatic decontamination, automatic cutting and other functions
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
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
Multiple Recognition Languages
Support recognition of handwriting such as pure English, simplified and traditional Chinese
Wide Recognition Character Set
General handwritten character recognition supports recognition of 7000 + characters, supports first-class and second-class characters of numbers, English and Chinese characters, and has high comprehensive recognition accuracy
Intelligent filtering of correction traces, avoiding the interference of complex situations such as tilt, deformation, illumination changes, line pressure, grids, stamps, low resolution, etc.
Handwritten Rare Words Recognition
Support complex recognition of handwritten rare words, alteration filtering, cursive writing, etc.
High Single-Character Recognition Rate
- TH-OCR text recognition SDK supports set-character proofreading and comprehensive proofreading functions, with high single-character recognition rate
Wide Range of Applications
- State Intellectual Property Office, Geological Survey Bureau, etc., all use Wintone handwritten text recognition to realize digital file management, contract management, paper electronic, etc.
- Supports layout analysis, can automatically distinguish between horizontal and vertical text
Guarantee Data Security
- Enterprise intranet deployment to meet the needs of user data security
- CPC Central Commission for Discipline Inspection
- Intelligent teaching management
- Intelligent collection of information by public opinion monitoring system of government departments
CPC Central Commission for Discipline Inspection
Make contributions to the collection of information on anti-corruption and promoting integrity through the recognition of handwritten report letters.
Intelligent teaching management
Using Wintone Science & technology handwritten text recognition technology, realize automatic recognition of students' daily homework, classroom notes, test papers and other handwritten content, which is convenient for students to quickly edit book abstracts and notes content, and teachers can intelligently mark students' test papers and homework online. , optimize the teaching management workflow and improve the efficiency of reviewing.
Intelligent collection of information by public opinion monitoring system of government departments
The news monitoring system quickly collects the information released by the public opinion platform, including printed and handwritten content, and searches and stops reactionary speech in a timely manner.
Handwriting Fonts 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.
- JSON Data