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For the complete documentation index, see llms.txt. This page is also available as Markdown.

Image-to-Text Captchas / OCR

We train a model on the exact captcha you're fighting.

Why a custom model wins

An OCR model is only as good as what it was trained on. The public solvers see a huge generic mix and do fine on the average captcha. Your target isn't the average captcha.

Train on the specific font, warp, colors, and noise of one challenge and the accuracy jumps. It's not magic, it's just the right training set. A model that only has to read one style of captcha beats a model that has to read everything.

Other than that, using a big vision model that will use unecessary usage and memory on production for a small task, is never a good choice.

We ensure

  • A near 100% pass rate

  • A fraction of milliseconds for the resolution

  • An almost inexistent resources usage

Example of Captchas

Our OCR model accepts a wide range of images for solving and is optimized for specific captchas. We can also implement new captchas based on client requests with near-perfect accuracy.

Facing those or other custom-website's captchas? Contact us for finding the best solution for your use case

Queue-IT's BotDetect

Queue-IT and SoftBlock provide image-to-text challenges known as BotDetect, which our API can solve efficiently.

TicketMaster SG's Captchas (ATC & Checkout)

Our API quickly and accurately handles TicketMaster SG's image-to-text captchas during ATC and Checkout processes, using advanced pre- and post-processing of images.

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