Holding CAPTCHA Data On-Premises: Compliance by Design Proxies are often necessary for serious automation, and CapSkip works with them without fuss. Teams can send requests however your setup needs while and still solving CAPTCHAs on your own machine, so the footprint consistent across runs. CapSkip's API was built to mirror the endpoints of the major CAPTCHA-solving services. In practical terms, tools and scripts that currently target those services are able to point at CapSkip with minimal changes and zero coding. The browser extension brings solving right into Chrome, Firefox and Chromium browsers such as Brave, Opera and Edge. For hands-on tasks or light automation, it handles challenges and needs no extra configuration. QA engineers hit CAPTCHAs too, especially when testing staging environments that mirror production. Instead of disabling those tests, teams can let CapSkip clear the challenge so coverage remains complete. Data control is a real concern when every challenge is sent to a remote service. With CapSkip, nothing departs your machine, so private projects stay contained. If you handle sensitive work, this is often the clincher. One of the biggest advantages of running on your own hardware is price. Traditional services bill per solve, so your bill climb as throughput grows. CapSkip uses flat-rate pricing and unlimited solves, so scaling does not mean worrying about the meter. Data control has become a genuine issue when every challenge is sent to a remote service. With CapSkip, no challenge data leaves your hardware, so sensitive projects stay on your own systems. If you handle sensitive work, this can be the clincher. A Python codebase projects get a clean path with CapSkip, since it emulates the API of major solving services. In practice, that means aiming current code at CapSkip takes minimal effort - nothing to rebuild. Image CAPTCHAs remain extremely common, from sign-up pages to checkout screens.