Building Resilient Automations that Clear CAPTCHAs Comparing solvers fairly involves checking them on identical sites with the same proxies. Across that apples-to-apples footing, self-hosted flat-rate solving tends to come out strong for ongoing workloads. CapSkip's API is designed to mirror the request format of the major CAPTCHA-solving services. In practical terms, tools and scripts that currently call those services can point at CapSkip needing little more than a URL change and zero new code. One of the biggest advantages of running locally is cost. Traditional services bill per solve, so your bill rise as throughput increases. CapSkip goes with flat-rate pricing and uncapped solves, so you can scale without watching the meter. The developer API was built to emulate the endpoints of major CAPTCHA-solving services. What this means, tools and tools that already target those services can switch to CapSkip with minimal changes and zero new code. A switch-over plan keeps the move smooth: repoint your endpoint at CapSkip, verify a few live solves, and then cut over production. Since the request format mirrors popular services, the bulk of the work is essentially done. Image CAPTCHAs remain everywhere, on login forms to checkout screens. CapSkip recognizes a huge range of image CAPTCHA types locally, usually almost instantly. This throughput matters when you process high volumes. Proxies are often necessary for serious automation, and CapSkip works with them without fuss. You can send requests the way your stack needs while still solving CAPTCHAs on your own machine, so the footprint consistent across runs. Selenium remains a staple for browser automation, and CapSkip drops into it cleanly. You keep the WebDriver logic as is and delegate the CAPTCHA to CapSkip whenever one appears, so the run keeps going with no human input. Accessibility auditing frequently runs into CAPTCHAs when checking sign-in forms.