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Database utility

SQL Schema Visualizer

Create database diagrams from SQL, explore table relationships, and customize PostgreSQL, MySQL, or SQLite schema templates.

  • Free to use
  • No account
  • Browser processing
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Purpose-built workflow

Understand SQL tables and relationships visually

  • Table diagram
  • PK and FK markers
  • Mermaid export
  1. InputPaste structured input
  2. RefinePaste CREATE TABLE statements
  3. ReviewInspect table cards, keys, and relationships
  4. FinishCopy or download Mermaid ER syntax

Database utility

What does SQL Schema Visualizer do?

Turn PostgreSQL, MySQL, or SQLite CREATE TABLE statements into a clear database diagram. The SQL schema visualizer maps tables, columns, data types, primary keys, foreign keys, and references so you can understand a data model without tracing raw DDL by hand.

Start from a curated database schema template or paste your own SQL. Parsing runs entirely in the browser, so private database definitions stay on your device.

Generate an organized database diagram from common CREATE TABLE syntax.
Search tables and inspect column types, primary keys, foreign keys, and relationships.
Use SaaS, e-commerce, content, project management, social, and authentication schema templates.
Copy Mermaid ER source or export the visible schema as an SVG diagram.

Common use cases

Planning a new relational database
Understanding an unfamiliar SQL schema
Documenting table relationships
Creating an ER diagram for technical review

Step-by-step

How to use this tool

  1. 1

    Add content to SQL Schema Visualizer

    Paste the source data or code into the input.

  2. 2

    Configure the result

    Choose the transformation or validation option.

  3. 3

    Review and export

    Check the output, then copy the result for your project.

Tips for a better result

  • Start with a representative sample before running a large sql schema visualizer workflow.
  • Keep the original input until you have checked the downloaded or copied result.
  • Review quality, compatibility, and output size before publishing or sharing the result.

FAQ

Common questions

Everything you need to know before processing your files.

It parses common terminated CREATE TABLE statements used by PostgreSQL, MySQL, and SQLite. It is intended for schema exploration rather than full dialect validation, so procedures, triggers, and ALTER TABLE statements are not rendered.

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