Online SQL Formatter & Beautifier
Beautify, indent, format, and minify SQL queries online. Supports DuckDB, PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. 100% in-browser.
Interactive WebAssembly Calculation Engine
This tool runs 100% in your local web browser tab. All amortization schedules, debt yield calculations, and tax deferral projections are computed client-side in WebAssembly. Zero bytes are uploaded to remote servers.
Use the interactive form above to adjust parameters, toggle extra principal schedules, stress-test interest rates, and export full reports to Excel (.xlsx) or CSV.
Underwriting Methodology & Mathematical Formulation
Our calculation algorithms strictly adhere to institutional lending conventions, CFPB disclosure rules, and statutory IRS definitions:
- Standard Annuity Formula: Monthly payment M = P * [r(1+r)^n] / [(1+r)^n - 1], calculating exact interest and principal allocations down to the penny.
- Zero-Roundoff Double Precision: Computations execute using standard IEEE 754 floating-point and integer math to match commercial bank loan documents.
- Sensitivity Analysis: Real-time stress testing against interest rate fluctuations, vacancy rate increases, and balloon maturity horizons.
Frequently Asked Questions
Which SQL dialects are supported by this formatter?
Our SQL formatter supports DuckDB, PostgreSQL, MySQL, SQLite, Snowflake, Amazon Redshift, Google BigQuery, MariaDB, Transact-SQL (T-SQL), Spark SQL, and standard ANSI SQL.
Can I execute queries directly after formatting?
Yes! You can click "Open in DuckDB SQL Workbench" to immediately execute the formatted SQL query against local CSV, Parquet, or Excel files in your browser with zero database installation.
Is my SQL query or schema sent to external servers?
No. Formatting is executed entirely on your client device inside browser JavaScript. Confidential database schemas, table names, and proprietary business logic remain 100% private.
What does SQL Minify do?
SQL Minify removes redundant whitespace, comments, and line breaks to compress queries into a single compact string. This is ideal for embedding queries into source code, application config files, or URL parameters.