SQL Tokenizer and Viewer: Inspect SQL Tokens Online
This SQL tokenizer reads pasted or dropped SQL and displays a parsed, color-coded view of strings, numbers, identifiers, comments, and punctuation. It reports the number of statements, total tokens, and a breakdown by token type. Unterminated strings and comments are flagged with line and column positions, helping you inspect SQL structure without treating the tool as a query executor.
SQL Viewer & Tokenizer is a browser-based SQL tokenizer for developers who want to inspect SQL text and understand its structure. Paste or drop your input to see a parsed view with strings, numbers, identifiers, comments, and punctuation displayed in different colors. The tool also reports statement and token totals, along with a breakdown by token type.
The tokenizer identifies the tokens in the input and presents them by category; it does not execute SQL. Unterminated strings and comments are flagged with their line and column positions, which can help you locate those specific issues. No additional conversion options are described: the output includes the token view and counts for the SQL you provide.
SQL is a language used to express statements for working with databases, while the viewer presents that text as recognizable lexical units. Inspecting tokens can make unfamiliar SQL easier to scan, help you check how a value is structured, or let you find and copy a useful excerpt. The statement count and per-type breakdown offer another way to understand the input at a glance.
SQL Viewer & Tokenizer runs entirely in your browser. Your input is processed on your device and is not uploaded, stored, or sent to a server; once the page has loaded, the tool works offline. It is useful for developers and DevOps engineers who need a quick way to read, review, and inspect SQL text.
Step 1: Paste or drop your SQL into the tool. You can provide the SQL text you want to inspect.
Step 2: Review the parsed, color-coded view. Tokens are grouped visually by type, including strings, numbers, identifiers, comments, and punctuation.
Step 3: Check the statement and token counts. The tool also provides a per-type breakdown to help you understand the input's structure.
Step 4: Look for flagged unterminated strings or comments, then copy the output or details you need.
Use case: Inspect an SQL document you did not write and find its structure more easily by viewing color-coded token types.
Use case: Check how a value in an SQL statement is tokenized before writing code that consumes or processes the SQL.
Use case: Copy a useful excerpt from a large SQL document after locating the section you need in the parsed view.
Use case: Review statement and token counts to get a quick overview of an SQL input.
Use case: Investigate an unterminated string or comment by checking the reported line and column positions.
Use case: Scan identifiers, comments, punctuation, and other token types in unfamiliar SQL without having to read it as an unformatted block.