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Tree-Based Schema Editor

Build complex nested schemas through an intuitive tree interface. Visualize objects and arrays in an expandable hierarchy with color-coded type indicators, drag fields up and down to reorder, and see the full path to every field at a glance. Add, duplicate, or delete fields at any level, mark them required with a single click, and switch between read-only View Mode and full Edit Mode without ever leaving the editor.

Schema Builder in Edit mode with the rules panel open on a string field: description, pattern, enum and length limits

Full BSON Types & Validation Rules

Define every constraint MongoDB supports — without writing JSON by hand. Strings get minLength, maxLength, pattern, and enum. Numbers get minimum, maximum, multipleOf, and exclusive bounds. Arrays get minItems, maxItems, and uniqueItems. Objects get required fields and additionalProperties control. Full support for all BSON types including ObjectId, Decimal128, Date, Binary, and polymorphic fields that accept multiple types.

Rules for a string field: description, default, examples, pattern, enum and minimum and maximum length

Verify Against Live Collections

Test your schema against real data before deploying. With one click, VisuaLeaf runs your schema through MongoDB's $jsonSchema operator and lists every document that fails to match, with the field that breaks the rule highlighted — perfect for data quality audits, migration planning, and validation testing. Or work the other way: import an existing collection to auto-generate a schema from sample documents, refine it in the tree editor, then deploy it back as a collection validator.

Verify Schema results listing the documents that break the schema, with the failing field highlighted
VisuaLeaf visual schema diagram generated from existing MongoDB collections

Visual Schema

Pair Schema Validation with the Visual Schema designer to map collection relationships, document field types, and design data models before turning them into validators. Move from diagram to deployed validation rule without leaving VisuaLeaf.

Data Compare canvas pairing source and target collections

Data Compare

Verify a schema against one collection, then use Data Compare to spot drift across environments. Catch schema mismatches between dev, staging, and production before they ship — and sync the differences when you find them.

Want to Learn More?

Read the JSON Schema documentation for a deep dive into BSON types, validation rules, and live verification workflows.

Read the Documentation

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