I’ve had the same struggle, especially when we tried to roll out a payment app for travelers. What I noticed is that the biggest problem wasn’t just the OCR itself but how it handled different angles, glare, or cards that weren’t perfectly aligned. Some older tools would just choke if the lighting wasn’t ideal. Recently, I came across something more consistent: OCR Studio’s bank card scanner. What I like about it is that it works with both web and mobile setups, and the accuracy is genuinely high even when the card is slightly rotated or the font isn’t the standard embossed style. We tested it on cards from multiple banks across different countries, and the recognition rate was way above 99%. The best part for us was the flexibility—there are options for integration via SDK or API, which is helpful when you need a quick prototype versus a production-ready solution. It’s not perfect, nothing is, but at least it gave us fewer headaches than other OCRs we tried.

That’s actually pretty interesting to hear, thanks for sharing. I haven’t worked with that particular tool, but I’ve run into similar frustrations with lighting and unusual card designs. Sometimes it feels like you spend more time tweaking camera settings than doing actual development. It’s encouraging to know that there are scanners getting better at handling those tricky real-world scenarios.