✨ AI Diagram to DBML Vision Engine

Image to DBML | Convert ER Diagrams & Whiteboards into Live Code

Upload screenshots, whiteboard photos, or hand-drawn sketches of database schemas.
dbNexus AI Vision extracts tables, columns, and relationships into clean, production-ready DBML.

< 3sSynthesis Speed

99.4%Entity Recognition

100%Automated FK Mapping

100%In-Browser Privacy

Why Image to DBML?

Skip tedious manual transcription. Turn architectural whiteboard sketches and ERD screenshots into live code in seconds.

From Whiteboard to Code

Never re-type diagrams from architecture meetings by hand. Photograph any whiteboard session and compile it directly into clean, standardized DBML.

Precision Vision Extraction

Intelligent OCR and spatial neural networks recognize table headers, column types, primary keys, and relationship connector arrows with 99%+ accuracy.

Instant Canvas & DDL Sync

Instantly load the generated DBML into the visual canvas. Refine schema interactively, generate migration scripts, or export to PostgreSQL, MySQL, and SQLite.

Real-World Transformation

From Image to Clean Relational Code

See how dbNexus takes a raw architecture screenshot and produces standardized, fully linked DBML code in under 3 seconds.

Input Imagearchitecture_sketch.pngHigh Resolution (1920x1080)

usersParsed

🔑idint

usernamevarchar(60)

emailvarchar(255)

created_attimestamp

ordersParsed

🔑iduuid

🔗user_idint

total_amountdecimal(12,2)

statusvarchar(32)

Neural vision detected 2 entities, 8 columns, 2 primary keys, and 1 foreign key relation.

Extracted DBMLschema.dbml

// Generated automatically from Architecture Screenshot

Table users {

id int [pk, increment]

username varchar(60) [not null]

email varchar(255) [unique, not null]

created_at timestamp [default: `now()`]

}

Table orders {

id uuid [pk]

user_id int [not null]

total_amount decimal(12,2) [not null]

status varchar(32) [default: 'pending']

placed_at timestamp [default: `now()`]

}

Ref: orders.user_id > users.id [delete: cascade]

Efficiency & Comparison

Manual Schema Recreation vs. dbNexus AI Vision

See how dbNexus replaces hours of tedious manual diagram transcription, syntax lookup, and relationship wiring with instant, validated, production-ready DBML.

Workflow & Capability	Manual ReconstructionSlow & Manual	dbNexus AI Vision⚡ Automated	Efficiency Gain
Turnaround Speed	✕45–90+ mins typing tables, columns & keys by hand	✓Under 3 seconds end-to-end vision synthesis	⚡ ~98% Faster
Whiteboard & Sketches	✕Guessing messy handwriting and missed sticky notes	✓Neural stroke parser detects boxes, fields, and arrows	✨ Zero Guesswork
Foreign Key Wiring	✕Manually tracing lines & writing tedious Ref: constraints	✓Auto-detects 1:1, 1:N & M:N relations with valid `Ref:` links	🔗 Auto-Wired
Syntax Validation	✕High risk of syntax typos, comma errors, and broken keys	✓100% compiler-verified AST syntax with zero errors	🛡️ Zero Typos
Visual Canvas Studio	✕Flat static text; must redraw diagrams manually on canvas	✓Opens live in dbNexus Canvas with draggable entities	🎨 Live Studio
Production SQL Export	✕Must rewrite DDL manually for each database dialect	✓1-click export to PostgreSQL, MySQL, and 5+ engines	🚀 7+ Dialects