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Description

CapSolver has introduced image recognition solutions powered by artificial intelligence and machine learning for its clients. Their objective is to harness AI across various sectors, broadening the scope of innovation within technology-centric environments. The service operates on a pay-per-captcha basis, with a minimum recharge of $1. Custom instances are available for users with substantial needs, and the platform handles 100 million requests monthly while maintaining a remarkable uptime of 99.9%. Over 100 companies rely on their services daily, and users can tailor their requirements through these custom instances. Additionally, our dedicated technical team collaborates closely with larger organizations to ensure their needs are met. More than 1000 platforms have successfully integrated our API, allowing users to access our services without any programming expertise. You can easily tackle the challenges posed by reCAPTCHA v2 and v3 enterprise versions, with detailed custom solutions available to address specific customer demands. If you have any questions or need assistance, please don't hesitate to contact us through our customer service system, as we are here to help you navigate your challenges seamlessly.

Description

Conventional CAPTCHA systems distinguish between human users and automated bots through cognitive challenges, primarily relying on tasks involving visual recognition, where humans excel but machines typically struggle. However, advancements in machine learning have enabled machines to perform these cognitive tasks as well, complicating the landscape of bot detection. To counteract the increasing sophistication of bots, traditional CAPTCHA systems have had to become more complex, resulting in greater user friction and a decline in conversion rates. To address the delicate balance between security and user experience, GeeTest introduced its AI-driven Slide CAPTCHA in 2012. Rather than employing visual recognition challenges, GeeTest developed a self-adaptive defense model leveraging extensive biometric data accumulated over eight years, utilizing Graph Convolutional Networks (GCN). This innovative approach analyzes more than 200 parameters, offering a comprehensive and nuanced insight into bot activity linked to any API, ultimately enhancing security without compromising user engagement. As a result, GeeTest's solution not only improves identification of malicious entities but also fosters a smoother interaction for legitimate users.