Configuration Summary
{{ metrics.documentCount }} {{ metrics.documentCount === 1 ? 'document' : 'documents' }} {{ metrics.totalKeys.toLocaleString() }} keys {{ metrics.totalScalars.toLocaleString() }} scalars Depth {{ metrics.maxDepth }} Preview trimmed
{{ type }}
{{ warn }}
TOML content
Use 0 to disable wrapping.
Field Value Copy
{{ row.label }} {{ row.value }} 
{{ normalizedToml }}
{{ normalizedYaml }}
{{ iniText }}
{{ envText }}
{{ propertiesText }}
Document Path Type Preview Copy
Doc {{ row.docIndex }} {{ row.path || '(root)' }} {{ formatTypeLabel(row.type) }} {{ row.preview }}
Path Types Docs Example
{{ row.path }} {{ row.types }} {{ row.docs }} {{ row.example }}
Tags: Data Format , Devops , Devtools
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Configuration files are structured text documents that describe how an application or service should behave in different environments and on different machines. They often group related settings, such as server ports, database credentials, and feature flags, into sections that are easier for humans to scan and maintain. A configuration converter for structured text files helps you move those definitions between formats while preserving meaning, reducing manual edits and copy paste mistakes.

Configuration conversion here focuses on keeping keys, nested sections, and scalar values consistent, then exposing them as summaries, alternative configuration syntaxes, and environment style key value pairs. You paste or drop existing configuration text, see a quick structural overview of documents, and then reuse the same data in several other configuration formats. That makes it easier to compare versions, audit changes, or standardize formats across different teams and deployment targets.

You might start with a configuration describing a title, server host and port, database user and password, and feature flags for enabling or disabling new behaviour. Within a few seconds you can inspect how many keys and scalar values the document contains and confirm that the nested structure matches what you expect. It is still important to double check production settings by hand, especially when secrets or critical addresses appear in the configuration.

For the clearest results keep related files together, use consistent section names, and avoid mixing temporary notes into the configuration text you paste here. Treat the output as a structural view that helps with refactoring and review rather than as proof that every value is safe or valid for deployment.

By reusing the same configuration through several representations you reduce duplication and make it easier for others to understand the intent behind each setting. You can revisit the tool whenever your configuration grows, compare structures, and keep formats aligned across projects.

Technical Details:

TOML configuration text is parsed into an in memory structure of objects, arrays, and scalar values such as strings, numbers, booleans, dates, and binary blobs. From that structure the tool computes document level metrics, including how many documents were parsed, how many nested keys appear, how many scalar values are present, the maximum nesting depth, and which data types occur most often.

These metrics help you judge configuration complexity, spot unusually deep nesting, and compare multiple documents that may represent different environments or services. The same in memory structure is then rendered back into normalized TOML, human readable YAML, pretty printed JSON, INI style sections, environment variable lines, Java style properties, flattened paths, and a compact schema summary that lists every discovered path with example values.

All representations are derived from the same parsed data, so changing a value in the original text and parsing again updates every export in a consistent way. Numbers are preserved as numeric values where possible, extremely large integers fall back to safe strings, and binary values are exposed through base64 previews so that inspection remains practical even for larger blobs.

Processing pipeline

  1. Normalize line endings in the pasted or loaded configuration text.
  2. Parse the text as TOML into one document or an array of documents.
  3. Walk every value to count keys, scalars, maximum depth, and representative samples.
  4. Flatten nested objects and arrays into string paths and preview snippets.
  5. Render normalized TOML, YAML, and JSON from the parsed structure.
  6. Generate INI sections, environment variable keys, and properties lines from scalar paths.
  7. Assemble overview, path, and schema tables and apply any preview limits.

Identical input text and options always produce identical summaries and exports.

Metrics, symbols, and units

Symbol Meaning Unit / Datatype Source
documentCount Number of separate configuration documents parsed from the input. Integer Derived from parser output.
totalKeys Total count of nested object keys across all documents. Integer Computed during tree walk.
totalScalars Total count of scalar values such as strings, numbers, and booleans. Integer Computed during tree walk.
maxDepth Deepest nesting level observed from the document root. Integer Computed during tree walk.
topTypes Summary of the most common top level value types with counts. Array of strings Aggregated from document summaries.

Validation and configuration options

Field Type Min Max Step / Pattern Error or hint
JSON spacing Select 0 4 0 for minified, 2 or 4 spaces Non positive values fall back to minified output.
YAML indent Number 1 8 Rounded to nearest whole number Out of range or invalid values revert to 2 spaces.
YAML line width Number 0 240 0 disables wrapping Negative values revert to a default wrapping width.
Sort keys Toggle N/A N/A Boolean Controls alphabetical ordering of mapping keys in YAML.
Force quotes Toggle N/A N/A Boolean with quote style select When enabled every scalar is emitted with single or double quotes.
Expand anchors Toggle N/A N/A Boolean Avoids reusing YAML anchors when serializing.
Path style Select N/A N/A Dot or slash notation Controls how nested keys and indices become flattened paths.
Max preview paths Number 50 2000 Rounded to whole number Limits the number of flattened paths shown in the preview table.
ENV prefix Text N/A N/A Optional string Prepended to generated environment variable keys.
Uppercase env Toggle N/A N/A Boolean Controls whether environment keys are uppercased.

Flattened paths, env keys, and properties

The flattener walks every object and array, recording a path string and a preview for each value. Dot style paths use dotted names with numeric indices in brackets, while slash style paths join segments with forward slashes and escape any literal slashes in key names.

Environment variable names are derived from paths by replacing separators with underscores, stripping punctuation, compressing repeated underscores, and optionally adding a configurable prefix. For multiple documents, keys gain a document index segment so that values from different sources do not collide when exported together.

INI sections use the first segment of the normalized path as the section name, with remaining segments forming the key, while properties output keeps the full path so that nested structure remains visible to consumers that expect dotted keys. Only scalar values appear in env, INI, and properties exports, while empty objects and arrays are still represented in the paths and schema tables.

Units, precision, and rounding

Scalar numbers are preserved as JavaScript numbers where possible, with a standard decimal point separator and no extra rounding applied. Very large integer values that cannot be represented safely as numbers are converted to strings, ensuring that digit sequences are not altered by formatting.

Dates remain as date objects and are shown in preview and exports using ISO style string representations. Binary values are converted into base64 strings for previews, truncated for display so that tables stay readable while the full value remains available in the underlying data.

Assumptions and limitations

  • Heads-up Configuration content is assumed to be valid TOML; syntax errors stop parsing and prevent exports until corrected.
  • Multiple documents are supported only when the parser returns an array; other multi file workflows require combining text manually.
  • Heads-up Preview text for values is truncated beyond a fixed length, so very long strings or binaries appear shortened in tables.
  • Empty objects and arrays are represented with simple markers and do not show internal structure beyond their presence at a path.
  • Heads-up Environment keys are generated heuristically and may not match project specific naming conventions without adjusting the prefix and casing options.
  • INI sections derive from the first path segment, which may not align with existing hand written section names.
  • Heads-up JSON output uses a best effort replacer that marks circular references instead of serializing them, which can differ from the original structure.
  • YAML and TOML formatting depend on the embedded language engines and may differ slightly from other formatters or style guides.

Complex or deeply nested configurations may produce large path and schema tables, so raising the preview limit can improve visibility but increases memory and rendering work.

Edge cases and error sources

  • Malformed TOML input raises a parse error message and stops downstream exports until the syntax is fixed.
  • Unsupported or missing TOML parser code triggers a warning that the parser is unavailable and suggests reloading the page.
  • Failures in YAML formatting are reported with an explicit error, and YAML output is skipped while other formats remain available.
  • Numbers outside the safe integer range may appear as quoted strings in JSON and other outputs.
  • Circular structures introduced by custom preprocessing are replaced with a literal marker in JSON output.
  • Binary values are truncated in previews, so comparing hashes or long keys requires inspecting the full value separately.
  • Changing path style after exporting env or properties can lead to mismatched expectations if old exports are still in use.
  • Very high preview limits with very large documents can slow rendering when thousands of paths are present.
  • Locale settings do not affect numeric formatting in JSON, so thousands separators in the UI do not appear in exported data.
  • Dropping a non text file or a very large file may fail or produce unreadable characters if the underlying file is not plain text.

If repeated errors occur, simplifying the configuration and reintroducing sections gradually helps isolate problematic constructs or values.

Scientific and standards context

The parsing and formatting flow is designed to respect the TOML language specification for structured configuration data, providing predictable round trips between text and the internal representation.

YAML serialization reflects common YAML mapping and sequence rules, while JSON output follows the data model and syntax defined for JavaScript Object Notation. INI and properties exports align with widely used configuration conventions in application servers and libraries.

Privacy and compliance

Processing is browser based and client only, with no configuration content transmitted or stored on any server by this tool. Because configuration files may contain secrets such as passwords or tokens, avoid pasting sensitive production values when possible and treat any generated env or properties files as sensitive artifacts in your own workflow.

No data is transmitted or stored server side, and there is no authentication, tracking, or external logging beyond what the hosting site itself may provide.

Step-by-Step Guide:

Configuration conversion and inspection here follow a straightforward path from pasting text to exporting several synchronized representations.

  1. Paste or drop your TOML configuration into the main input area marked with TOML content.
  2. Open the advanced options and adjust JSON spacing, YAML indent, and line width to match your formatting preferences.
  3. Choose a path style and, if needed, set an ENV prefix and casing rules for environment keys.
  4. Wait a moment for parsing to complete and review the configuration summary badges that show document count, key totals, scalar values, and maximum depth.
  5. Browse the normalized TOML, YAML, JSON, INI, env, properties, paths, and schema views to confirm that structure and values look as expected.
  6. Use the copy or download actions in each view to extract the formats you need for deployment, testing, or documentation.

For example, you can paste the sample configuration, confirm the counts and sample values in the overview, then download JSON for application code and env lines for a staging deployment file.

  • If parsing fails, start by simplifying the input, then reintroduce sections until you pinpoint the problematic line.
  • Keep a copy of the original configuration file so you can compare normalized output with source formatting when reviewing changes.
  • Use the schema table when you need to explain available paths and types to teammates who will consume the configuration programmatically.

Once you are comfortable with the workflow, you can use the converter as a quick checkpoint whenever configuration files change or new environments are introduced.

Features:

  • Parses TOML configuration text into a structured representation that drives every export.
  • Provides a document overview with counts of keys, scalar values, maximum depth, and sample keys and values.
  • Exports normalized TOML, formatted YAML and JSON, INI like configuration, env lines, and Java style properties.
  • Flattens nested structures into paths, with a preview table and CSV exports for downstream tooling.
  • Builds a schema summary that lists every path, its observed types, document coverage, and an example value.
  • Offers formatting controls for indentation, line width, key sorting, quoting, path style, preview size, and env key prefixes.
  • Supports copy to clipboard and CSV downloads from overview, paths, and schema views for easier sharing.

FAQ:

Is my configuration data stored?

No. Parsing and conversions run entirely in the browser, and the tool does not send configuration content to any server or persist it between page loads.

Avoid pasting production secrets where possible.
How accurate are the conversions?

The converter relies on dedicated parsing and serialization engines for TOML, YAML, and JSON, so any input they accept will round trip consistently within their supported type systems.

Differences from other tools usually reflect formatting preferences, not data loss.
Which formats can I export?

You can work with normalized TOML, YAML, JSON, INI style configuration, env style key value lines, Java style properties, and CSV exports of overview, paths, and schema tables.

All exports derive from the same parsed configuration data.
Can I use it without a network?

After the page has loaded and the engines are available, parsing and formatting run locally without further network requests, so repeated conversions do not depend on an active connection.

Refreshing the page may require connectivity again to load supporting code.
What does a trimmed preview mean?

When the paths preview reaches the configured limit, a trimmed warning appears, indicating that only the first group of paths is shown while exports still include every discovered path.

Increase the preview limit if you need to browse more paths directly.
How do I inspect the schema quickly?

Use the schema view to see each flattened path, the types observed for that path, how many documents contain it, and a representative example value for quick inspection.

Schema exports to CSV help when documenting configuration contracts.
Are there limits on size or depth?

There is no hard coded document size cap, but very large files or extremely deep nesting will increase processing time and may require raising the preview limit to see enough paths.

If performance degrades, split configuration into smaller documents.
Can I rely on this for deployment checks?

The converter confirms structure and types but does not know project specific rules, so treat results as a structural sanity check and keep existing validation and deployment pipelines in place.

Use it alongside, not instead of, dedicated configuration validation.

Troubleshooting:

  • If you see a TOML parse error, copy the message, locate the reported section, and simplify or correct the surrounding lines.
  • When the parser is reported as unavailable, reload the page and ensure that scripting is enabled in your browser.
  • If YAML output is empty while other views work, check the warnings area for any YAML formatting error messages.
  • When env or properties exports are empty, confirm that the configuration actually contains scalar values and not just nested empty tables or arrays.
  • If copy buttons appear to do nothing, check browser clipboard permissions or try again from a secure context.
  • Slow behaviour with very large files can often be improved by lowering the preview limit or splitting configuration into smaller logical units.

Most issues can be resolved by checking error or warning messages, adjusting preview and formatting options, and simplifying the input configuration before rebuilding exports.

Advanced Tips:

Once you are comfortable with the basics, these techniques can make configuration reviews and handoffs even smoother.

  • Use sorted YAML keys when you want stable diffs between configuration versions in version control systems.
  • Switch path style and regenerate exports to see which notation best matches existing tooling and documentation in your environment.
  • Raise the preview limit temporarily when exploring a new configuration, then lower it again to keep tables responsive for day to day use.
  • Use env exports for quick local testing while keeping canonical configuration in TOML, so you can switch environments with minimal risk.
  • Keep a standard set of formatting options for your team and share them so everyone sees comparable outputs when reviewing changes.
  • Export schema tables regularly to document which paths are stable and which are still evolving across services or environments.

Glossary:

TOML
A structured configuration format based on key value pairs, tables, and arrays.
YAML
A human friendly data serialization format used for configuration files and messages.
JSON
JavaScript Object Notation, a lightweight structured data format for objects and arrays.
INI
A simple configuration format built from sections and key value assignments.
Environment variable
A key value pair exposed by the operating system to configure running processes.
Scalar value
A single value such as a string, number, boolean, date, or binary blob.
Flattened path
A string that represents a nested location using dot or slash separated segments.
Schema row
One entry in the schema table that lists a path, types, coverage, and example.
Preview limit
The maximum number of flattened paths shown in the on screen preview table.
Maximum depth
The deepest nesting level observed when walking the configuration tree.