Create a normalized query fingerprint

Replace literal strings, numeric literals, and recognized parameter markers with ?, remove comments/insignificant whitespace, and uppercase common SQL words to expose the reusable query shape.

SQL input

SELECT * FROM orders WHERE customer_id = 42 AND status = 'paid' AND created_at >= :since;

Fingerprint

—Statements

—Original params

—Table refs

—Fingerprint bytes

A lexical fingerprint is useful for grouping similar log/query shapes. It is not a cryptographic hash, SQL optimizer signature, security sanitizer, or proof that two statements are semantically equivalent.

Browser-local SQL workflow

The v10.73 SQL layer keeps transformation, generation, and inspection in the browser. Existing v7.6/v10.7 SQL engines remain intact while the new inspector adds statement, table/CTE, placeholder, clause, and bounded structural-warning context.

Parser and execution boundary

WebToolArc does not connect to a database or execute these statements. The shared scanner handles common lexical structures, quoted strings/identifiers, comments, parameters, and practical references, but it is not a vendor-complete grammar, schema validator, optimizer, lineage engine, or security review. Use a real database/parser when those guarantees matter.

How to use this SQL Query Fingerprint Generator

Generate a normalized SQL fingerprint by replacing strings, numbers, and parameter markers while preserving structural query shape.

Enter, paste, upload, or choose the inputs shown in the tool above.
Adjust the available options for the result you need.
Review the output before copying, downloading, or using it elsewhere.

What this tool does

Create copy-ready templates for grouping similar SQL logs locally; fingerprints are lexical shapes, not semantic equivalence proofs.

Practical tips and limits

Review the inputs and result before using the output elsewhere. Keep the original data when the operation changes or replaces content.