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2026-04

How to unify standards for multi-region number detection? Data from South America, North America, and Southeast Asia cannot be one size fits all.

When doing global number detection, an issue that is easily overlooked is not the detection tool itself, but how to set the standard. Many teams are accustomed to using a set of number detection logic to run all regions at first. They think this is more efficient and the process is unified. However, after running for a long time, they often find that the results of South American data, North American data, and Southeast Asian data are often skewed if they use the same set of standard filters. The problem is not that the number is detected incorrectly, but that the standard should not be one-size-fits-all.

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