After months of development and initial beta testing, we’re excited to share some early results of NLPCaptcha implementation and our vision for the future of this technology.
We’ve been running NLPCaptcha on a select group of partner websites for the past three months, and the results have been extremely encouraging:
As we continue to develop NLPCaptcha, we’ve encountered and overcome several technical challenges. Today, I want to share some insights into these challenges and how we’ve addressed them using Python and various NLP techniques.
As an early founding engineer I’m excited to share our journey in developing NLPCaptcha, a revolutionary technology that’s set to transform both web security and digital advertising.
Traditional CAPTCHAs, while effective in distinguishing humans from bots, have become a source of frustration for users. They often involve deciphering distorted text, which can be time-consuming and irritating. Moreover, they represent a missed opportunity for website owners and advertisers.