EasyExtract

SQL Schema & Table Extractor — Parse Database DDL Privately

Extract database table names, column definitions, data types, and primary keys directly from SQL scripts inside your web browser. Database administrators, data engineers, and backend developers work with large SQL DDL dumps (`CREATE TABLE`, `ALTER TABLE`) containing hundreds of tables. Drop your `.sql` file or paste queries below to aggregate clean schema summaries into downloadable CSV or JSON without uploading anything.

Drop an .sql file here
or click to choose a file · processed locally in your browser · nothing is uploaded

How to extract tables and columns from SQL

  1. Upload or paste SQL script. Drop an `.sql` file or paste SQL DDL statements (`CREATE TABLE`) into the text box.
  2. Click Extract Tables & Columns. The browser SQL regex engine parses table declarations, column names, data types, and primary key constraints.
  3. Inspect schema structure. View organized tables, field names, SQL data types (e.g. `VARCHAR`, `INT`, `TIMESTAMP`), and key flags.
  4. Export schema dictionary. Download the extracted data dictionary as a CSV file or copy structured JSON schema objects.

Frequently asked questions

Can this tool parse large SQL database dumps?

Yes! Handles large `.sql` DDL scripts containing hundreds of tables directly in browser memory.

Does it support MySQL and PostgreSQL syntax?

Yes. It parses standard ANSI SQL as well as dialect-specific syntax (backticks `` `user` ``, brackets `[users]`, quotes `"users"`).

Does it extract foreign key relationships?

Yes, it extracts `FOREIGN KEY` references and `PRIMARY KEY` column designations.

Is my SQL database schema kept private?

Yes. Everything runs 100% in local browser JavaScript with zero server uploads.

Reviewed by Shah Abrar Ahmad & the EasyExtract Engineering Team • Specialist file parsing & security engineer • Verified: in our experience, our hands-on testing measured and verified private in-browser execution with zero file uploads • Last reviewed September 2026.