Hanwang Bill Recognition Technology is based on deep learning technology, which automatically distinguishes various financial documents, value-added tax invoices, train tickets, taxi tickets, flight itinerary sheets, various local tax invoices, and financial and statistical reports of various enterprises and institutions according to the pre-defined bill table and document categories of users, and efficiently and accurately identifies the content information, and converts it into structured data output. Without the need for manual intervention, it can quickly identify a large number of documents, tables, and document information in large quantities and of various types.
Hanwang provides enterprises with an efficient and convenient bill recognition system, which automatically determines the type of bill and extracts key field information, making financial reimbursement, statistics and other work no longer cumbersome, greatly improving the efficiency of reimbursement and review. It can not only save the cost of manual input, but also reduce the probability of errors caused by data input, and can be classified and annotated according to needs for convenient query, statistics, and auditing. Realize digital transformation in industries such as banking and taxation.
ID card recognition
Using OCR technology such as ID card, bank card, passport recognition, etc. for government affairs, banking, finance O2O、 Remote user identity authentication in transportation and other applications supports automatic recognition and input of various field information, reducing user input costs and effectively improving user experience.
Real estate certificate identification
Based on deep learning algorithms, the average recognition rate reaches 98%, with strong adaptability; Support the recognition of real estate certificates nationwide, with a second level response to meet real-time business needs. Support for images captured by scanners and mobile phones, simple and easy to operate, fast and efficient; Provided to users in SDK format, supporting offline recognition on mobile devices; Support online recognition of high-speed cameras and scanners; Support private deployment of Windows and Linux servers.
Handwritten manuscript recognition
After years of research and development, Hanwang has made a breakthrough in solving the global problem of recognizing freely written documents based on massive data training. The content of freely written documents can be converted into text in seconds with just a snap, with a recognition rate of over 95% and a conversion speed of 0.3 seconds per page, which is at least 500 times faster than manual input. Whether it's copy paper with severe background interference or paper drafts with curved shapes, they can be easily handled, truly achieving recognition by the human eye. A manuscript entry in a data room requires 50 people to do it for 10 years, while we only need one machine to run it for 3 months. At the same time, a dual core system of Chinese and English has been introduced, and high-precision recognition of English manuscripts has also been achieved.
Form recognition
The Hanwang OCR Form Recognition System, which recognizes various types of bills, documents, tables, and textual materials, has become an important means for related industries to establish image indexes and replace manual work due to its fast, accurate, and low-cost characteristics. At the same time, it can provide logical and arithmetic operation relationships between table data, and design unique processing functions for table forms. The electronic processing system for report business can improve users' management level, reduce operating costs, and carry out new businesses such as e-commerce. Combining the characteristics of various industries, OCR products that meet the data requirements of banks, securities, insurance, taxation, public security, customs airports, industry and commerce, library archives and other related industries can be developed
Business license recognition
Using OCR technology such as ID card and business license recognition to achieve e-commerce, food delivery O2O、 Merchant identity authentication and qualification document review in scenarios such as transportation services can improve platform service quality and avoid business risks such as malicious violations.
