DATA BRIDGE UTILITY

SQL to Frontend

Automate the boring part of API development. Convert SQL CREATE TABLE scripts or raw query results into high-quality TypeScript interfaces and JSON payloads instantly.

SQL Schema / Rows
Generated Output
Production types will appear here...

Database-to-UI Acceleration

Every backend transition starts with a Database Schema. Manually rewriting these schemas into TypeScript Interfaces is not just tedious—it's error-prone. One typo in a property name or a mismatched nullability constraint can lead to silent failures in your production app.

Our SQL to TypeScript Converter bridges the infrastructure gap. By parsing your CREATE TABLE statements directly, we infer the correct primitives (string, number, Date) and maintain structural integrity. This ensures your frontend models are always an exact mirror of your source of truth.

Beyond Schemas: Result Set Parsing

Sometimes you don't have the schema, only the data. If you copy a grid result from DBeaver, PGAdmin, or TablePlus, this tool automatically detects the headers and infers the types from the actual runtime values—including number vs string detection and Boolean parsing.

  • Zero Hallucination
    Strict mapping rules ensure every SQL type has a predictable TS counterpart.
  • Smart camelCase
    Converts created_at to createdAt automatically to follow JS standards.

General Inquiries

Solving standard data impedance mismatches.

Our parser is optimized for standard SQL-92 but works perfectly with PostgreSQL, MySQL, SQLite, and SQL Server syntax. It targets the core column definition patterns used across nearly all relational databases.

Simply copy the headers and data rows from your database manager (like DBeaver) and paste them into the input area. The tool will notice it is not a 'CREATE TABLE' script and will switch to 'Inference Mode', naming the keys based on your column headers.

Yes. If a column is defined as JSON or JSONB, the tool will assign it the 'any' type in TypeScript or an empty object in JSON mode. For data inference, if it detects valid JSON in a string, it will parse it into a nested object.

Currently, the tool focuses on TypeScript interfaces and JSON structures to maintain a lightweight footprint. However, advanced validator generation is planned for a future update in our 'Pro Utilities' suite.

From the Builder

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