GeeTest CAPTCHA

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
GeeTest CAPTCHA
Score 9.0 out of 10
N/A
Powered by volumes of biometric data (mouse movement, click points, gyroscope data, etc.) collected in the past 7 years, GeeTest built a self-learning defense model based on Graph Convolutional Networks (GCN). While identifying bad bots across all GeeTest-protected sites, the technology constantly learns and adjusts itself. By analyzing over 200+ parameters, GeeTest's dynamic defense model provides the user with a broader and deeper understanding of bot activities associated with any API. To…N/A
Pricing
GeeTest CAPTCHA
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
GeeTest CAPTCHA
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
More Pricing Information
User Ratings
GeeTest CAPTCHA
Likelihood to Recommend
9.0
(1 ratings)
User Testimonials
GeeTest CAPTCHA
Likelihood to Recommend
Geetest
I've been using GeeTest for a while now and have had a terrific experience with it; also, I've never encountered such amazing anti-spam software as Gee Test.
Read full review
ScreenShots

GeeTest CAPTCHA Screenshots

Screenshot of GeeTest protects your websites and mobile apps from bad bot attacks with zero user friction.Screenshot of Secure your websites, mobile Apps and APIs from bot threats.Screenshot of Over 260,000 enterprises worldwide chose GeeTest. We are experts at catching bots.Screenshot of Intelligent Combination - The CAPTCHA challenge that is presented to the end user will transform automatically according to mouse track and other security policies. To promote security, Slide and Click challenges will appear with certain probability.Screenshot of Slide Challenge - During the verification, multidimensional information such as the mouse track and equipment information will be collected. This information is analyzed in real time to tell humans and bots apart.Screenshot of Click Challenge - Mouse track and equipment information are collected to differentiate bot from human. The neural network is introduced for rapid picture style transformation. The transformation will promote the difficulty level for bot exponentially with zero friction to users.