Smart Column Matcher

Paste two lists of field names (or upload a CSV / XLSX whose first row holds the names) and get a suggested mapping with a score, a confidence level and the reason for each pair. It understands camelCase, snake_case and kebab-case, expands common abbreviations (cust = customer, nm = name, qty = quantity, SAP-style short names) and compares spelling. This is statistical string matching, not a neural model: review the medium and low confidence rows before using them, for example in the Mapping Sheet to Code tool.