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Keeping It Private: The Case for Solving CAPTCHAs Locally Proxy support is often necessary for serious automation, and CapSkip plays nicely with them without fuss. You can route requests the way your setup requires while still solving CAPTCHAs locally, which keeps the footprint natural across sessions. At its core, a CAPTCHA solver interprets a challenge and produces the answer a site is looking for, so an automated script can continue. The difference with CapSkip is that everything happens locally - no challenge data is shipped off to a stranger, and you avoid per-solve fees. That combination of control and predictable cost is hard to beat for steady workloads. GeeTest puzzles can be famously tricky for automation, so running a solver that supports them is a real plus. CapSkip handles GeeTest locally, so workflows that depend on these targets keep running when the challenge appears. A common misstep is picking any solver as the same. Match the tool to the CAPTCHA mix, the volume, and the cost ceiling - CapSkip spans the common types at one price, which fits the majority of real workloads. A switch-over plan makes the switch painless: repoint the endpoint at CapSkip, verify some real solves, then flip production. Since the API matches popular services, most of the work is essentially done. Good docs plus tutorials shorten onboarding smoother. Between the setup guide to the API reference and the FAQ, most questions are clear answers without ever filing a ticket, so your team spends effort on building instead of troubleshooting. The v3 flavor takes a different tack: instead of a visible challenge, it scores behavior behind the scenes. Getting a usable score requires tooling that handles the way v3 works, and CapSkip is designed to handle it, producing results in seconds so your pipeline continues. Used responsibly, CAPTCHA solving supports legitimate use cases such as QA, monitoring, and permitted scraping.