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I’ve been experimenting with different OCR tools lately, and one thing I keep running into is that some scanners are really sensitive to the angle of the card. If you tilt it slightly or if the light isn’t great, accuracy drops fast. I’m curious if anyone here has tested multi-format or multi-angle scanning solutions that actually work reliably across devices https://ocrstudio.ai/bank-card-scanner/? I feel like this is a big issue for apps that need to scan cards quickly without forcing users to hold everything in the “perfect” position.

[ValensiaRomaro]

That’s a very real issue. I had the same frustration when I was building a small prototype app last year. At first, I relied on a basic open-source library, but it would fail almost every time the card wasn’t perfectly centered. Then I moved to solutions that were designed with multiple formats in mind, and the difference was huge. What helped most was finding a system that could handle tilted or partially cropped images without breaking. For example, there are tools like the Bank Card Scanner by OCR Studio that emphasize not just precision (they claim above 99% in tests) but also adaptability to different card angles and formats. I’ve tried it on standard credit cards, gift cards, and even ones with unusual layouts, and it did surprisingly well. The integration options are flexible too — you can go with WebAssembly for browser apps or SDKs if you’re working on mobile. That flexibility makes it much easier to test in real environments rather than just in controlled demos.

[[email protected]]

I agree with both of you, the angle problem is one of those “real world vs. demo” differences that you only notice when testing with actual users. It’s interesting to hear that newer solutions are finally addressing it. I haven’t implemented any yet, but it sounds like supporting multiple formats and angles should be a basic requirement nowadays, especially with how diverse user setups can be.

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