Captcha captcha personal information

Captcha: Codes, images and puzzles for spam prevention

Site operators who offer user-generated content save themselves the trouble of manually verifying contributions. In addition, a server is significantly relieved if automatic inputs and queries are blocked before they cause resource-intensive reactions from the system.

AI research is making steady progress. The ability of specialized programs to read alienated texts or to solve logical tasks is improving rapidly. As early as 2014, a Google research team published an approach (PDF download via, . The database used 10 million annotated house numbers, which the team generated via Google Street View.

As early as 2010, researchers at Stanford University (PDF download via showed that Capchas in many cases pose a major challenge even to human internet users. In one study, more than 1,100 people were asked, around 318.

In addition, the researchers found a bounce rate of 50 percent for audio-based capchas. Whether human verification is used and how it is implemented thus also affects the motivation of a visitor to interact with the respective website.

As early as 2009, the SaaS company MOZ published a blog article in this context.In a case study, YouMoz author Casey Henry examined more than 50 different company websites over a period of 6 months and came to the conclusion that the conversion rates of online forms (E.g. However, the amount of spam also decreased by 88 percent.

Especially companies that generate income by Internet users performing interactions on their website should consider whether a bounce rate of this magnitude is acceptable.