GoCaptcha vs AI
GoCaptcha: First 100k verifications free monthly, fortifying websites against bots and spam.
Simply the best
Although bots are able to bypass conventional CAPTCHAs, the GoCaptcha challenges have been specifically created to effectively counter modern threats. By offering a combination of defensibility, usability, and accessibility, GoCaptcha is a single product that can handle a variety of challenges. In fact, it's the most powerful CAPTCHA solution available.
Effective
GoCaptcha provides a better user experience compared to traditional CAPTCHAs. This is because it uses a combination of fun and interactive challenges that are easy for humans to solve but difficult for bots. Overall, the combination of engaging challenges, clear presentation, and accessibility features makes GoCaptcha a more user-friendly and enjoyable CAPTCHA solution.
Satisfactory
Unlike traditional CAPTCHAs that often require users to decipher blurry or distorted text, GoCaptcha challenges are presented in a clear and visually appealing manner. This not only makes it easier for users to complete the challenge but also helps to reduce frustration and improve overall satisfaction.
Price
GoCaptcha detects a captcha request in three distinct stages: when it is requested, solved, or verified. Verification can only be done by the website owner using a secret key known only to them. The cost to the website owner for verifying captchas is $1 per 1000 successful requests. This ensures that even if someone attempts to make fake requests, the website owner will only pay for successful verifications.
How it works
Whenever a user requests a captcha, we choose a random image from a pre-defined list and extract a random tile of 420x420 pixels from it. This tile is then split into nine equal squares and randomly rotated by 90, 180, or 270 degrees. As a result, the user must click on each square at least once to complete the image. To make it more challenging for automated programs to solve the captcha, we remove a border of 5 pixels around each square. Additionally, we apply some image processing techniques to make it even more difficult to compare neighboring squares and guess the rotations of each square.
