portfolios.tools

SQL to TypeScript Generator Tool

Free SQL to TypeScript converter turns CREATE TABLE DDL into TypeScript interfaces with nullable markers. Paste PostgreSQL or MySQL schema and get typed interfaces.

Results

Tables found: 1

export interface Users {
  id?: number;
  /** Required */
  name: string;
}

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How It Works

Paste CREATE TABLE SQL statements into the text area. Toggle JSDoc comments if desired. The tool parses columns and generates TypeScript interfaces. Export from pg_dump, Supabase SQL editor, or MySQL Workbench schema scripts. Remove foreign key ALTER statements if parsing fails and paste table definitions only. Schema first workflows in finance apps often start here before writing API route handlers. Portfolio tracker and transaction ledger schemas convert cleanly with standard INTEGER and DECIMAL columns. Portfolio ledger and holdings tables with INTEGER and DECIMAL columns convert cleanly from pg_dump CREATE TABLE blocks. Export CREATE TABLE from Supabase dashboard or pg_dump without ownership and grant clauses for cleaner parse. Strip FOREIGN KEY and INDEX lines from pg_dump paste for cleaner column only parse. Portfolio ledger and holdings tables with INTEGER and DECIMAL columns convert cleanly from pg_dump CREATE TABLE blocks. Export CREATE TABLE from Supabase dashboard or pg_dump without ownership and grant clauses for cleaner parse. Strip FOREIGN KEY and INDEX lines from pg_dump paste for cleaner column only parse.

Review the generated TypeScript interface code with proper types, optional markers, and JSDoc annotations. Copy or download for your project. Compare output against your ORM generated types to catch nullable mismatches. Regenerate after schema migrations to keep frontend types synchronized with the database. Share generated interfaces with QA teams for contract testing against mock API responses. Version control generated types alongside migration files for audit trails. Regenerate types after each migration: stale interfaces hide breaking column renames until runtime API errors surface. JSDoc option documents column defaults helping frontend forms show server side default values. Paste multiple CREATE TABLE blocks from migration folder to regenerate all entity interfaces in one click. Regenerate types after each migration: stale interfaces hide breaking column renames until runtime API errors surface. JSDoc option documents column defaults helping frontend forms show server side default values. Paste multiple CREATE TABLE blocks from migration folder to regenerate all entity interfaces in one click.

Regenerate types after each migration: stale interfaces hide breaking column renames until runtime API errors surface. JSDoc option documents column defaults helping frontend forms show server side default values.

Use SQL to TypeScript Generator whenever inputs change: after market moves, new contributions, or revised personal assumptions. Bookmark the page for quick reruns without installing software.

Step by step

  1. Paste CREATE TABLE SQL statements
  2. Toggle JSDoc if you want documentation comments
  3. Review and copy the TypeScript output

Worked example

Paste CREATE TABLE SQL statements into the text area. Enter the sample inputs described in How it works to reproduce the scenario step by step.

Adjust one input at a time to see sensitivity. SQL to TypeScript Generator updates instantly so you can stress test optimistic and conservative assumptions before acting.

When to use this calculator

Reach for SQL to TypeScript Generator when convert create table ddl into typescript interfaces.. It suits quick what if analysis before trades, allocation changes, or plan updates.

Pair with related tools when the decision spans taxes, liquidity, or multi year projections beyond what one formula captures.

Common mistakes

Copying outputs without checking input units or stale market prices is a frequent error with SQL to TypeScript Generator. Confirm tickers, percentages, and dates before acting.

Running a single baseline scenario ignores tail risks. Stress test with conservative inputs and compare against related tools listed below when the decision is material.

The Formula

Regex extraction: /CREATE\s+TABLE\s+(?:IF\s+NOT\s+EXISTS\s+)?[`"']?(\w+)[`"']?\s*\(([\s\S]*?)\)\s*;/gi. Type mapping via lookup table. Columns parsed per line with type, nullable, and default detection.

Output is TypeScript interface definitions. Supports standard PostgreSQL/MySQL CREATE TABLE DDL. Does not generate Zod schemas, Prisma models, or runtime validators. Extend output manually for production type safety. Supabase and PlanetScale exports work well as paste sources for quick type generation. BIGINT columns map to number which may lose precision above 2^53. No Zod or Prisma output: extend interfaces with runtime validators before trusting browser parsed API data. ENUM columns map to string union manually after export when you want strict literal types. VARCHAR length not preserved in TypeScript type: all string columns map to plain string type. Extend output with Zod schemas manually when runtime validation required in browser apps. No Zod or Prisma output: extend interfaces with runtime validators before trusting browser parsed API data. ENUM columns map to string union manually after export when you want strict literal types. VARCHAR length not preserved in TypeScript type: all string columns map to plain string type. Extend output with Zod schemas manually when runtime validation required in browser apps.

Limitations and assumptions

Output is TypeScript interface definitions. Supports standard PostgreSQL/MySQL CREATE TABLE DDL. Does not generate Zod schemas, Prisma models, or runtime validators. Extend output manually for production type safety. Supabase and PlanetScale exports work well as paste sources for quick type generation. BIGINT columns map to number which may lose precision above 2^53. No Zod or Prisma output: extend interfaces with runtime validators before trusting browser parsed API data. ENUM columns map to string union manually after export when you want strict literal types. VARCHAR length not preserved in TypeScript type: all string columns map to plain string type. Extend output with Zod schemas manually when runtime validation required in browser apps. No Zod or Prisma output: extend interfaces with runtime validators before trusting browser parsed API data. ENUM columns map to string union manually after export when you want strict literal types. VARCHAR length not preserved in TypeScript type: all string columns map to plain string type. Extend output with Zod schemas manually when runtime validation required in browser apps. SQL to TypeScript Generator does not replace personalized advice. Fees, slippage, account specific rules, and behavioral constraints may change real world outcomes.

Key terms

How are SQL columns parsed
The parser extracts CREATE TABLE statements via regex, identifies column names, SQL types, nullability from NOT NULL, and default values.
What is the SQL to TypeScript type mapping
VARCHAR, CHAR, TEXT map to string.
Model assumption
By default nullable columns get optional (?

Compare alternatives

API Mock Generator creates sample JSON payloads matching your generated interfaces. Use those calculators when sql to typescript generator alone does not capture the full decision.

Internal links on portfolios.tools help you chain calculators: run SQL to TypeScript Generator first, then validate edge cases with a specialized tool from the related section below.

FAQ

How are SQL columns parsed?

The parser extracts CREATE TABLE statements via regex, identifies column names, SQL types, nullability from NOT NULL, and default values. Constraints (PRIMARY, FOREIGN, UNIQUE, CHECK, INDEX) are skipped. Composite types and generated columns may parse partially. Multi line column definitions inside parentheses are handled line by line. Inline comments after column definitions are stripped before parsing. CHECK constraints and GENERATED ALWAYS AS columns require manual TypeScript adjustment after export. Regex parser skips CONSTRAINT lines and extracts column name type NOT NULL and DEFAULT per line. SERIAL and BIGSERIAL columns map to number type in generated TypeScript interface. Regex parser skips CONSTRAINT lines and extracts column name type NOT NULL and DEFAULT per line. SERIAL and BIGSERIAL columns map to number type in generated TypeScript interface.

What is the SQL to TypeScript type mapping?

VARCHAR, CHAR, TEXT map to string. INT, BIGINT, SERIAL, NUMERIC, DECIMAL, FLOAT, DOUBLE map to number. BOOLEAN maps to boolean. TIMESTAMP, DATE map to string. UUID maps to string. JSON and JSONB map to Record<string, unknown>. ENUM types map to string unless you extend the mapping manually after export. SMALLINT and TINYINT also map to number in the default lookup table. PostgreSQL IF NOT EXISTS and MySQL backtick quotes both supported in CREATE TABLE paste. PostgreSQL IF NOT EXISTS and MySQL backtick quotes both supported in CREATE TABLE paste.

What does the JSDoc option do?

By default nullable columns get optional (?) markers. Enabling JSDoc adds /** comments */ for default values and required annotations above each field. JSDoc helps IDE autocomplete show column constraints without opening the SQL schema. Useful when sharing generated types with frontend teams who do not maintain the database. Required fields without defaults surface as non optional TypeScript properties for stricter compile time checks. TIMESTAMP WITH TIME ZONE columns still map to string; add branded types manually for date safety. BIGINT maps to number which loses precision above 2^53: use string branded types manually for snowflake IDs. JSDoc on optional columns documents NULL allowed from database constraint for frontend form validation. BIGINT maps to number which loses precision above 2^53: use string branded types manually for snowflake IDs. JSDoc on optional columns documents NULL allowed from database constraint for frontend form validation.

Which CREATE TABLE syntax is supported?

The parser works on standard DDL with parentheses, type annotations, NOT NULL, and DEFAULT clauses. Complex expressions in defaults are extracted as strings. PostgreSQL IF NOT EXISTS and MySQL backtick quoting are supported. Does not parse ALTER TABLE, views, or stored procedures. Paste one or more CREATE TABLE blocks separated by semicolons. Array and custom PostgreSQL types default to string unless you extend the mapping table manually. SQLite CREATE TABLE exports work but may need type affinity adjustments after import. ALTER TABLE and VIEW statements ignored: paste only table definitions for interface generation. ALTER TABLE and VIEW statements ignored: paste only table definitions for interface generation.

Can I convert multiple tables at once?

Each CREATE TABLE becomes one TypeScript interface named after the table (capitalized). Multiple CREATE TABLE statements produce multiple interfaces separated by newlines. Interface names follow PascalCase from snake_case table names. Copy output into your types folder or download as a .ts file for import into NestJS, Prisma companion types, or API layers. Add readonly modifiers manually for immutable database views after export. Composite primary keys may need manual interface splitting after generation. Multiple CREATE TABLE statements produce multiple PascalCase interfaces in one download for ORM free projects. Download typescript file directly into monorepo packages types folder beside Prisma schema. Multiple CREATE TABLE statements produce multiple PascalCase interfaces in one download for ORM free projects. Download typescript file directly into monorepo packages types folder beside Prisma schema.

How do I use this SQL to TypeScript generator on a phone or tablet?

Yes. SQL to TypeScript Generator runs entirely in your mobile browser with the same formulas as desktop. Optional localStorage may remember inputs on your device when enabled in browser settings.

Where is my data stored when I use SQL to TypeScript Generator?

Nowhere on our servers. Calculations execute locally in your browser. Optional localStorage saves form fields on your device only and never transmits portfolio numbers over the network.

Should I rely on SQL to TypeScript Generator for tax or legal decisions?

No. SQL to TypeScript Generator provides educational math only. Tax law, account rules, and personal circumstances vary. Consult a qualified tax or legal professional before transactions with material consequences.

Related Tools

API Mock Generator creates sample JSON payloads matching your generated interfaces. Regex Transaction Parser helps validate CSV import formats for finance apps built on the same schema. Cron Market Scheduler supports scheduled ETL jobs that sync database tables to TypeScript typed APIs. Enterprise Value Calculator schemas often share similar column patterns for financial statement tables. Drizzle and Kysely users paste output as companion types alongside inferred schema definitions. YAML JSON Portfolio converter complements SQL first backends when config also lives in version control. JSON to OpenAPI documents HTTP layer while this tool types database layer for full stack finance apps. YAML JSON Portfolio converter complements SQL first backends when config also lives in version control. JSON to OpenAPI documents HTTP layer while this tool types database layer for full stack finance apps.