In a fast-paced work and life environment, how to improve corporate work efficiency and improve user experience has become the common goal pursued by people. In response to market development needs, a text recognition technology that converts text in any scene picture into editable text appears in the public eye. Xiangyun provides a text recognition API based on deep learning algorithms and autonomous OCR core technology.
The text recognition interface can be adapted to maintain efficient and accurate text recognition rate in various complex scenarios. Whether it is printed or handwritten, whether it is ID card, bank card, license plate, document, business card or various invoices, it can easily deal with it. It also supports batch recognition of text. You can obtain clear and editable text content from the pictures with one click upload, greatly saving the time cost of manual entry, reducing the entry error rate, and improving corporate work efficiency and user experience.
Take the ID card identification interface as an example: Nowadays, with the continuous maturity and popularity of Internet technology, when users are conducting online activities, they need to perform real-name authentication of their ID cards. The traditional way of manually entering ID card information is time-consuming and laborious, and the user experience is poor. The ID card recognition API derived from text recognition technology can help enterprises and users get rid of this problem. You only need to upload the ID card picture to automatically extract the text element information on the ID card, making the ID card authentication faster, more accurate and efficient.
Examples of C# text recognition integration are as follows:
var client = new HttpClient();
var request = new HttpRequestMessage(, "/api/");
var content = new MultipartFormDataContent();
(new StringContent("/9j"), "img");
(new StringContent("M***********g"), "key");
(new StringContent("3***********6"), "secret");
(new StringContent("1993"), "typeId");
(new StringContent("json"), "format");
= content;
var response = await (request);
();
(await ());In response to the language needs of different enterprises and different scenarios, Xiangyun provides programming examples for multiple mainstream languages such as Java, PHP, JavaScript, HTTP, C#, C++, python, etc. for text recognition interface scenarios, allowing developers to quickly integrate text recognition functions into systems or applications. In the future, text recognition interfaces will be applied to more application scenarios, making smart data interfaces a new engine for your business growth.
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