ID and Certificate Recognition
A diverse array of card and certificate recognition products, offering ID and bank card recognition for multiple countries and regions with high-precision structured text extraction capabilities. It can be used independently or integrated with TextIn's Image Detection products to effortlessly facilitate any eKYC process, providing robust ID document verification and recognition capabilities.
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Key features
High recognition rate
Textin's intelligent character recognition capability is industry-leading, thanks to its advanced algorithm and deep learning detection and recognition model. With a recognition accuracy of 99.7% and a quick user experience, it is suitable for various industries and scenarios.
Multiple mainstream languages are supported
Textin supports recognition of 50+ mainstream languages, multi-directional text, multi-format images, table extraction and recognition, document layout analysis, and text recognition and extraction for text and table images of any format. It also supports common image formats.
Multiple complex scenarios are supported
With 16 years of expertise, we excel in intelligent text recognition, overcoming recognition problems in 10+ complex scenarios, including dithering, fuzziness, skew, reflection, distortion, blur, uneven illumination, shadow, long distance/low pixel, complex background/font, and multi-language integration.
Deployment Mode
SaaS
Our public cloud services are secure, dependable, and swift, backed by 16 years of technological expertise. Simply access TextIn products by directly calling the API
On-premises
Our intelligent character recognition technology can be deployed locally, allowing for privatization of products in CPU/GPU environments
SDK
End-side devices (Windows, Android, IOS) is supported, you can use intelligent text recognition products without network
AIoT
TextIn supports hardware device integration, including scanners, scanning pens, and other devices. It enables real-time calculation on the hardware and delivers intelligent text recognition results
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DEMO
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