SQL File Viewer

View SQL scripts with syntax highlighting, query analysis, and smart formatting. Free, fast, and secure browser-based viewer.

Drop your SQL file here

or click to browse files

.sql .txt
View SQL scripts with syntax highlighting
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Features

Syntax Highlighting

SQL keywords, strings, numbers, and comments are color-coded for easy reading

Query Analysis

Automatically detects SELECT, INSERT, UPDATE, DELETE, and CREATE statements

Statistics

View statement count, table references, line count, and file size

Privacy First

All processing happens in your browser - files never leave your device

Supported SQL Syntax

This viewer supports SQL scripts from popular databases:

MySQL
PostgreSQL
SQLite
SQL Server
Oracle
MariaDB

Frequently Asked Questions

This viewer supports .sql files and plain text files containing SQL statements. It works with exports from MySQL Workbench, phpMyAdmin, pgAdmin, SQL Server Management Studio, and other database tools. The viewer automatically detects SQL syntax regardless of the source database.

No, this is a read-only viewer designed for viewing and analyzing SQL scripts. It doesn't connect to any database and cannot execute queries. To run SQL statements, you'll need to use a database client connected to your database server.

Yes, your SQL files are completely secure. All file processing happens locally in your browser using JavaScript. Your files are never uploaded to any server, ensuring complete privacy for potentially sensitive database schemas and data.

Formatted: Shows SQL with syntax highlighting for keywords, strings, numbers, and comments. Raw: Displays the original file content without any formatting. Structure: Shows an analyzed breakdown of statements, tables, and operations found in the file.

The viewer can handle SQL files up to 10MB. Larger files may cause performance issues in your browser. For very large database dumps, consider splitting them into smaller files or using a desktop SQL editor.

The viewer provides basic syntax highlighting and statement detection but does not perform full SQL validation. It highlights keywords and structures but cannot verify if queries are syntactically correct or would execute successfully on a database.