Convert SVG to TOML

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SVG vs TOML Format Comparison

Aspect SVG (Source Format) TOML (Target Format)
Format Overview
SVG
Scalable Vector Graphics

SVG is an XML-based vector image format defined by the W3C. It describes two-dimensional graphics using shapes, paths, text elements, and CSS styling. SVG files are plain text, resolution-independent, and natively supported by all modern web browsers. They can include animations, interactivity, and embedded metadata.

Vector Graphics XML-Based
TOML
Tom's Obvious Minimal Language

TOML is a configuration file format designed to be easy to read and write. It maps unambiguously to a hash table and supports typed values including strings, integers, floats, booleans, dates, arrays, and tables. TOML is used in Rust's Cargo, Python's pyproject.toml, and many modern configuration systems.

Configuration Data Format
Technical Specifications
Structure: XML-based plain text with vector elements
Encoding: UTF-8
Standard: W3C SVG 1.1 / SVG 2.0
MIME Type: image/svg+xml
Extension: .svg
Structure: Key-value pairs with sections (tables)
Encoding: UTF-8 (required)
Standard: TOML v1.0.0 (2021)
MIME Type: application/toml
Extension: .toml
Syntax Examples

SVG uses XML tags to define vector graphics:

<svg xmlns="http://www.w3.org/2000/svg"
     width="200" height="100">
  <rect width="200" height="100"
        fill="#3498db" rx="10"/>
  <text x="100" y="55"
        text-anchor="middle"
        fill="white" font-size="18">
    Hello SVG
  </text>
</svg>

TOML uses clear key-value syntax:

title = "Hello SVG"

[metadata]
width = 200
height = 100

[[elements]]
type = "text"
content = "Hello SVG"
x = 100
y = 55
Content Support
  • Vector shapes (rect, circle, ellipse, polygon)
  • Paths with Bezier curves and arcs
  • Text elements with font styling
  • CSS styling and class attributes
  • Gradients, patterns, and filters
  • Animations (SMIL and CSS)
  • Embedded raster images
  • Metadata and accessibility attributes
  • Typed values (string, integer, float, boolean)
  • Date and datetime values
  • Tables (sections) and nested tables
  • Arrays and arrays of tables
  • Inline tables for compact data
  • Multi-line strings (basic and literal)
  • Comments for documentation
Advantages
  • Resolution-independent scalable graphics
  • Plain text XML, human-readable and editable
  • Native browser support without plugins
  • CSS and JavaScript interactivity
  • Small file size for simple graphics
  • Accessible text content within images
  • Extremely human-readable syntax
  • Unambiguous type system
  • Comment support for documentation
  • Maps directly to hash tables
  • Growing adoption in modern tooling
  • Simpler than YAML, more expressive than INI
Disadvantages
  • Complex graphics produce large file sizes
  • Not suitable for photographic images
  • Security concerns with embedded scripts
  • Inconsistent rendering across browsers
  • Limited support for complex text layouts
  • Verbose for deeply nested data
  • Less mature than JSON or YAML ecosystems
  • Not suitable for complex data serialization
  • Limited support in older tools
  • No schema validation standard
Common Uses
  • Web icons, logos, and illustrations
  • Interactive data visualizations and charts
  • UI design assets and wireframes
  • Scalable diagrams and flowcharts
  • Animated web graphics and banners
  • Rust Cargo.toml project configuration
  • Python pyproject.toml package setup
  • Hugo and other static site generators
  • Application configuration files
  • Infrastructure and deployment settings
Best For
  • Scalable web graphics and icons
  • Interactive and animated visuals
  • Resolution-independent illustrations
  • Accessible vector content with text
  • Configuration files for applications
  • Project metadata and build settings
  • Human-editable structured data
  • Settings that need clear documentation
Version History
Introduced: 2001 (SVG 1.0 by W3C)
SVG 1.1: 2003 (Second Edition 2011)
SVG 2.0: Candidate Recommendation (ongoing)
MIME Type: image/svg+xml
Introduced: 2013 by Tom Preston-Werner
Version 1.0: January 2021
Status: Stable, growing adoption
MIME Type: application/toml
Software Support
Browsers: Chrome, Firefox, Safari, Edge (native)
Editors: Inkscape, Adobe Illustrator, Figma
Libraries: D3.js, Snap.svg, SVG.js, Raphal
Other: Any text editor (XML source)
Rust: toml crate (native Cargo support)
Python: tomllib (stdlib 3.11+), tomli, toml
Go: BurntSushi/toml, pelletier/go-toml
Editors: VS Code, IntelliJ with TOML plugins

Why Convert SVG to TOML?

Converting SVG to TOML allows you to extract structured data from vector graphics and represent it in a clean, human-readable configuration format. TOML's typed key-value pairs and table structure are well-suited for organizing SVG metadata, text content, and element attributes into a format that can be easily read and processed by configuration-aware tools.

One common use case is asset management. When building design systems or icon libraries, extracting SVG metadata into TOML creates a catalog that can be consumed by build tools, static site generators, and CI/CD pipelines. TOML's clear syntax makes the catalog easily editable by team members.

TOML is also ideal for configuration-driven workflows. If your application generates SVG content dynamically, converting existing SVG files to TOML provides a template of the data structure needed, which can then be modified and used to regenerate graphics programmatically.

Our converter parses the SVG XML structure, extracts text elements, metadata, and key attributes, then generates a well-organized TOML document with appropriate sections and typed values.

Key Benefits of Converting SVG to TOML:

  • Readable Structure: TOML's clear syntax makes SVG data easy to understand and edit
  • Typed Values: Numbers, strings, and booleans are properly typed in TOML
  • Tool Integration: Use SVG data in Cargo, pyproject.toml, or Hugo configs
  • Asset Cataloging: Build searchable metadata catalogs from SVG libraries
  • Version Control: Track SVG content changes in plain text TOML with Git
  • Configuration Templates: Generate TOML configs for dynamic SVG generation

Practical Examples

Example 1: Icon Metadata

Input SVG file (icon.svg):

<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24">
  <title>Search Icon</title>
  <desc>Magnifying glass icon for search functionality</desc>
  <circle cx="10" cy="10" r="7" fill="none" stroke="#333"/>
  <line x1="15" y1="15" x2="22" y2="22" stroke="#333"/>
</svg>

Output TOML file (icon.toml):

title = "Search Icon"
description = "Magnifying glass icon for search functionality"

[dimensions]
width = 24
height = 24
viewBox = "0 0 24 24"

[[elements]]
type = "circle"
cx = 10
cy = 10
r = 7

[[elements]]
type = "line"
x1 = 15
y1 = 15
x2 = 22
y2 = 22

Example 2: Chart Configuration

Input SVG file (chart.svg):

<svg xmlns="http://www.w3.org/2000/svg" width="500" height="300">
  <title>Sales Dashboard</title>
  <text x="250" y="30" text-anchor="middle">Monthly Revenue</text>
  <text x="80" y="280">Jan</text>
  <text x="180" y="280">Feb</text>
  <text x="280" y="280">Mar</text>
</svg>

Output TOML file (chart.toml):

title = "Sales Dashboard"

[dimensions]
width = 500
height = 300

[[text_elements]]
content = "Monthly Revenue"
x = 250
y = 30

[[text_elements]]
content = "Jan"
x = 80
y = 280

[[text_elements]]
content = "Feb"
x = 180
y = 280

[[text_elements]]
content = "Mar"
x = 280
y = 280

Example 3: Design Token Extraction

Input SVG file (design.svg):

<svg xmlns="http://www.w3.org/2000/svg" width="200" height="200">
  <title>Brand Colors</title>
  <rect width="200" height="50" fill="#3498db"/>
  <text x="100" y="30" text-anchor="middle" fill="white">Primary Blue</text>
  <rect y="50" width="200" height="50" fill="#2ecc71"/>
  <text x="100" y="80" text-anchor="middle" fill="white">Success Green</text>
</svg>

Output TOML file (design.toml):

title = "Brand Colors"

[dimensions]
width = 200
height = 200

[[text_elements]]
content = "Primary Blue"
x = 100
y = 30

[[text_elements]]
content = "Success Green"
x = 100
y = 80

Frequently Asked Questions (FAQ)

Q: What is TOML format?

A: TOML (Tom's Obvious Minimal Language) is a configuration file format created by Tom Preston-Werner (co-founder of GitHub). It uses clear key-value pairs, sections (tables), and typed values to store structured data in a human-readable format. TOML is widely used in Rust (Cargo.toml), Python (pyproject.toml), and many other tools.

Q: What SVG data is included in the TOML output?

A: The converter extracts text elements with their content and positions, title and description metadata, SVG dimensions, and key element attributes. The data is organized into TOML tables and arrays for a clean, structured representation.

Q: Can I use the TOML output as application configuration?

A: Yes, the generated TOML file can serve as a configuration template for applications that generate SVG content dynamically. You can modify the values and use them to programmatically create or update SVG graphics through your application code.

Q: How does TOML compare to JSON or YAML for this use case?

A: TOML is more readable than JSON (supports comments, no quotes on keys) and less error-prone than YAML (no indentation-based nesting issues). For configuration and metadata extraction from SVG, TOML provides the best balance of readability and structure.

Q: Are SVG numeric values preserved as numbers in TOML?

A: Yes, the converter detects numeric values in SVG attributes (coordinates, dimensions, font sizes) and represents them as TOML integers or floats rather than strings. This preserves type information and makes the data immediately usable in calculations.

Q: Can I reconstruct the SVG from the TOML output?

A: The TOML output captures text content and basic metadata, but complex visual elements like paths, gradients, and filters are not fully represented. For simple SVG files, the TOML data may contain enough information for reconstruction, but complex graphics cannot be fully recreated.

Q: How are SVG namespaces handled?

A: SVG XML namespaces are not directly represented in TOML, as TOML does not have a namespace concept. The converter focuses on extracting the content and attributes that carry meaningful data, stripping away XML-specific structural information.

Q: Which programming languages can parse the output TOML?

A: TOML parsers are available for virtually all major languages: Python (tomllib built-in since 3.11), Rust (toml crate), Go (go-toml), JavaScript (toml-node), Java, Ruby, PHP, and more. This makes the output highly portable across technology stacks.