Computer Character Recognition, commonly known as Optical Character Recognition (OCR), is a key technology that combines optical technology with computer technology to read the text printed or written on paper and return it in the form of text to achieve high-speed text entry.
ADVANCE OCR, developed independently by ADVANCE.AI, is widely used in ID document recognition and business form recognition. It also provides mobile-OCR quality inspection s
ervices. ADVANCE OCR has earned a solid reputation in Asia and the global market with its quick, highly accurate, and reliable technology features.
ADVANCE ID Document Recognition, which is embedded in ADVANCE OCR technology, is the flagship product of ADVANCE.AI. It instantly and accurately extracts structured identity information from images of ID documents, and significantly improves user-experiences in data recording, remote onboarding, real-name authentication and identity recognition. In India, ADVANCE ID Document Recognition optimises and localises OCR service to recognise Indian ID cards and gain a competitive edge through superior and highly accurate OCR technology.
Difficulties of OCR with Indian Documents
Multiple document versions: According to the feedback from Indian colleagues and market research, there are many versions of AADHAAR and PAN cards, which are widely used in India, with five standard versions of PAN and more than a dozen versions of AADHAAR.
Low image quality: India's Internet development has been significantly different from China's. India skipped the PC Internet era, entering the mobile Internet era directly, and became the fastest-growing global smartphone market. Due to high income inequality, Indians are more concerned about "cost performance" and "free of charge", making the $50-$250 smartphones the majority in the market. Together with the general equipment and environment of Indian users, the quality of images taken and uploaded by users is relatively poor.
Advantages of ADVANCE OCR
In India, ADVANCE OCR enables us to solve the problem of recognising multiple versions of Indian IDs. It can guide users to upload high-quality images in real-time through the front-end SDK, and provide full-process supervisory feedback, which can be applied to various elaborate scenarios of image capture, thus improving the digitising efficiency of ID information and cutting the operation cost of users. The ADVANCE OCR model is trained based on millions of samples, covering a wide range of document types, ensuring high accuracy and a high pass rate of the recognition service.
High accuracy: key fields accuracy is over 99%.
High reliability: it supports complicated backgrounds, different lighting conditions, and various rotation angles (90°, 180° & 270°), saving the operation cost in complex settings and improving user experience.
Full process support: from image acquisition, image classification, and image quality detection to image recognition, full-process supported.
Full type support: support all types of AADHAAR and PAN document recognition, covering all end users.
Data Performance of ADVANCE OCR
Using the same number of samples to test different platforms of Indian OCR products, it can be found from the results that the accuracy of ADVANCE OCR is significantly higher than the market level.
Applications of ADVANCE OCR
Due to its strong function, ADVANCE OCR can be applied to a variety of different business purposes:
E-commerce: e-commerce ID validation, fraud detection and prevention, mobile Apps.
Visitor management systems: residential access control, access to events or campuses.
Government border control: access control, ID validation and authorisation, traffic police.
Banking/Insurance: digital banking, branch banking, account establishment.
Transportation (Car dealers / Auto sales): car rental, airline service.
Get a free trial of ADVANCE OCR
ADVANCE.AI offers top-quality OCR service to Asian clients, and has earned a solid reputation for its quick, reliable, and high-accuracy user experience. In India, ADVANCE OCR technology is trusted by local clients, and the API has already achieved over 1,000,000 requests (calls) per day.