Configuration Summary
{{ metrics.documentCount }} {{ metrics.documentCount === 1 ? 'document' : 'documents' }} {{ metrics.totalKeys.toLocaleString() }} keys {{ metrics.totalScalars.toLocaleString() }} scalars Depth {{ metrics.maxDepth }} Preview trimmed
{{ type }}
{{ warn }}
.env content
Use 0 to disable wrapping.
Field Value Copy
{{ row.label }} {{ row.value }} 
{{ 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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Environment configuration files are collections of named values that tell an application where to connect and which features to enable. They sit between code and infrastructure and keep sensitive details out of your source tree.

Environment variables make it easy to switch between local development and production setups, and a converter for environment settings helps you reuse the same information across different configuration styles. Here you work with one configuration input, see it summarised in a small dashboard, and decide which representation best suits your workflow.

You provide the plain text that already drives your application, and the page analyses it into keys, values, and a rough sense of structure. The results include a summary of counts and nesting, a flattened list of paths, and ready to copy views for several configuration formats.

For example you might paste the environment file you use during staging, then generate a structured representation for a deployment system that prefers a different format. Along the way you can check that related keys share consistent prefixes and that you are not carrying unused or duplicated entries.

Because configuration often includes secrets, treat the tool as a safe place for working copies rather than a long term vault and clean shared outputs before committing them. When you revisit a service later, compare summaries instead of scanning line by line to spot growth in settings and possible simplification opportunities.

Technical Details:

Environment configuration here is modelled as a single document of key and value pairs. Each key identifies one piece of configuration such as a host name, port number, feature flag, or logging level, and the document summary reports the number of keys, scalar values, and the maximum depth of any nested structures.

The parser reads the input text line by line, ignoring blank lines and comments that start with a hash. Every remaining line must combine an optional export keyword and a name, followed by an equals sign and the raw value text. When the same name appears more than once, the later value replaces the earlier one and a warning records the change.

Value parsing distinguishes quoted strings, unquoted booleans, and numeric literals. Double quoted values unescape newline, carriage return, and tab escapes, single quoted values keep all characters literally, bare values that match true or false become booleans, and bare values that match an integer or decimal pattern become numbers. All other values remain as plain strings so they survive export unchanged.

Structured output is produced from that internal document in several families. JavaScript Object Notation (JSON) output can be minified or pretty printed with a configurable indentation step, YAML Ain't Markup Language (YAML) output respects indentation width, line wrapping, key sorting, anchor expansion, and optional forced quoting, while initialisation file (INI) output groups keys into sections derived from their paths. Additional exports generate a flattened environment style listing and a properties file with dotted paths.

The flattening stage walks the document recursively and records one row for every scalar location. For each row it keeps the document index, a path in either dot notation or slash notation, the detected type, and a short preview of the value. A separate schema view collapses rows with the same path to show all observed types, the number of documents they appear in, and an example value for that path.

From these traversals the tool computes summary metrics, including total nested keys, scalar counts, and the deepest discovered level. The path preview is limited to a configurable number of rows between 50 and 2000, and when the full set of paths exceeds that limit a badge and warning note that only the first portion is visible while exports still include every path.

Processing pipeline

  1. Normalise line endings in the pasted text so Windows and Unix styles are treated the same.
  2. Split the text into individual lines and discard any line that is empty or starts with a comment marker.
  3. Parse remaining lines into name and raw value segments, flagging lines that do not match the expected structure.
  4. Coerce each raw value to boolean, number, or string based on quoting and pattern matching rules.
  5. Build an in memory document from the keys and values, then walk it recursively to gather statistics.
  6. Flatten every scalar location into a path row with document index, type label, and a shortened preview.
  7. Generate YAML, JSON, INI, environment listing, properties file, and schema tables from the shared document representation.

Summary metrics reference

Parameter Meaning Unit/Datatype Typical range Sensitivity Notes
Document count Number of configuration documents derived from the pasted text. Integer 1 Low Current parser builds a single document per input.
Total nested keys All keys discovered during the recursive walk, including nested objects. Integer 1 to many Medium Useful for spotting configuration growth over time.
Scalar values Count of leaf values that are not objects or arrays. Integer 1 to many Medium Tracks how many distinct settings are actually populated.
Maximum depth Deepest level of nesting reached by any key. Integer 1 to many High Higher values suggest more complex structures or naming schemes.
Top types Most frequent value kinds, such as string, number, or boolean. String list Varies Low Gives a quick feeling for how strongly typed the configuration is.

Worked example:

APP_ENV=production
APP_NAME=example
DB_HOST=127.0.0.1
DB_PORT=5432
CACHE_ENABLED=true

With this input the parser reports one document, five top level keys, five scalar values, and a maximum depth of one. Flattened paths list each key, while exports provide matching JSON, YAML, INI, environment listing, and properties representations that all carry the same values.

Input validation and bounds

Field Type Min Max Step / Pattern Error text Placeholder
.env content Multiline text 1 key line Not enforced Lines matching optional export, name, equals, value “No key-value pairs detected in the .env content.” Sample environment snippet with several keys and values
JSON spacing Select integer 0 8 Options for 0, 2, or 4 spaces Invalid entries are sanitised to a supported value. Default of two spaces for pretty printing
YAML indent Numeric input 1 8 Rounded to the nearest whole number Out of range values fall back to a safe default. Default of two spaces
YAML line width Numeric input 0 240 Zero disables wrapping, others rounded to an integer Invalid entries revert to the standard width. Default of 80 characters
Max preview paths Numeric input 50 2000 Rounded and clamped to the allowed window Too small values are raised to the minimum. Default of 400 paths
ENV prefix Single line text None Not enforced Trimmed and appended before generated key names Empty prefixes are simply ignored. Example prefix such as APP

I/O formats

Input Accepted families Output Encoding / precision Rounding
Pasted text or dropped file .env style configuration with comment lines Internal document of keys and typed values Unicode text assumed, booleans and numbers stored as native types No numeric rounding beyond JavaScript number representation
Internal document Objects with scalar leaves JSON export Configurable indentation, escaped according to JSON rules No additional rounding, values preserved as parsed
Internal document Objects with scalar leaves YAML export Indentation, wrapping, quoting, and anchors controlled by options No rounding, only formatting changes
Flattened paths One row per scalar INI, environment listing, properties file Strings built from paths, types preserved where possible No rounding, textual representations only

Assumptions and limitations

  • Input is treated as Unicode text, and unusual encodings may appear with replacement characters.
  • Heads-up Only lines with a single name and value pair are parsed; anything more complex must be simplified first.
  • Heads-up Duplicate keys are allowed, but only the last value is kept in the document and shown in exports.
  • Comments are recognised only when the first non whitespace character on a line is a hash.
  • Boolean detection is limited to plain true and false, ignoring case, so other words remain strings.
  • Number detection accepts simple integers and decimal forms, and does not enforce application specific ranges.
  • INI sections are derived from path segments and may not match naming conventions of every target system.
  • Schema and path tables describe shape and types, not business meaning or requiredness of any key.

Edge cases and sources of error

  • Lines that lack an equals sign are skipped with a warning and do not contribute keys or values.
  • Names and values are trimmed, so trailing spaces are removed and may not be preserved when exporting.
  • Unmatched quotes cause a value to be treated as unquoted text instead of a quoted string.
  • Very long values are shortened in previews after 120 characters, though the full content is still preserved.
  • Values that look numeric but exceed safe integer ranges remain representable but may lose precision in other tools.
  • Binary like data pasted into the input may not display cleanly, and previews fall back to generic summaries.
  • Circular structures cannot arise from .env parsing, but the JSON exporter still guards against cycles in data.
  • YAML export depends on an in page formatting library; if that fails to load, a warning explains that YAML is unavailable.
  • Clipboard and download actions rely on browser permissions, and restrictive settings can block copying or saving.
  • Changing path style or preview limits does not alter underlying values, but it does affect how tables are read.

Privacy and compliance

Configuration snippets and files are processed within the browser session and remain on the device in use. Files are processed locally; nothing is uploaded, yet you should still avoid pasting secrets that conflict with organisational policies or data handling rules.

Step-by-Step Guide:

Environment configuration conversion here turns raw key and value lines into tidy formats that are easier to share, review, and reuse across tools.

  1. Paste or drop your environment file content into the main text area.
  2. Review the configuration summary to confirm document counts, key totals, and the general mix of value types.
  3. Open the YAML or JSON tab to inspect structured exports for other systems.
  4. Switch to the Paths and Schema tabs to explore flattened paths, types, and example values.
  5. Adjust advanced options such as JSON spacing, YAML indentation, and path style to match your target environment.
  6. Warning Before copying or downloading, scan for secrets and remove or mask values that should not leave secure storage.
  7. Use the copy or download buttons on each tab to move the chosen representation into version control, automation, or documentation.

A common workflow is to paste the configuration from a shared secret manager, verify that key names and counts look sensible, generate a standard YAML export for infrastructure automation, and archive the flattened schema table as lightweight documentation for the team.

  • Use the key sorting switch when you want stable ordering across environments and commits.
  • Set an environment prefix to generate compatible names for systems that require namespaced keys.
  • Toggle uppercase generation when exporting environment style listings for platforms that expect uppercased keys.
  • Increase the maximum preview paths when analysing large configurations, then export the full path table for deep audits.
  • Keep one tab focused on the overview while you adjust settings, using it as a quick regression check for changes.
  • Save exported files alongside application code so configuration history can be reviewed together with functional changes.

FAQ:

Is my configuration data stored?

No, configuration text and files are processed inside the browser session and kept in memory only for the duration of your visit. Clipboard and file downloads move data directly between your device and the page.

Always follow your organisation's policies when handling secrets.
How accurate is the parsing?

The parser handles standard name and value pairs, including optional export prefixes, comments, and simple quoting rules. Lines that do not fit the expected pattern are skipped with a warning so they do not silently distort exported formats.

If many lines are skipped, adjust formatting before relying on exports.
What formats can I export?

You can export structured configuration as JSON, YAML, and INI, plus environment style listings and properties files built from flattened paths. All exports share the same underlying document, so values stay aligned between views.

YAML export depends on the formatting library being available.
Can I use it without a network?

Once the page has loaded, parsing, flattening, and export logic run in the browser. If you open the tool while offline, some assets such as external libraries may not load, which can disable specific exports like YAML until connectivity returns.

Check for warnings if an export tab appears empty.
Does it cost anything to use?

The converter is presented as a convenience utility for working with environment configuration. You do not need a license key or account within this interface, although you should still respect any licensing that applies to the surrounding site or bundled code.

Consult project documentation if you redistribute generated files.
How do I analyse a large .env file?

Increase the maximum preview paths in the advanced section, then recompute to see a wider slice of the flattened tree. Use the path and schema CSV exports for detailed analysis in a spreadsheet, and rely on the overview metrics to track complexity over time.

Very large files may still feel easier to scan in a dedicated editor.
What does “Preview trimmed” mean?

When the number of discovered paths exceeds your preview limit, the interface shows only the first portion in the paths table and marks the summary with a trimmed badge. All exports continue to include every path, so no data is lost from the underlying document.

Raise the limit when you need to inspect more rows directly.

Troubleshooting:

  • No overview appears after pasting text: confirm at least one line contains a name, an equals sign, and a value.
  • Many warnings mention skipped lines: check for indentation, stray characters, or multi line constructs that do not match simple key lines.
  • An export tab looks empty: verify that the corresponding format is enabled and that no error message is shown above the panel.
  • Copy buttons seem unresponsive: browser privacy settings, clipboard permissions, or extensions may be blocking programmatic copy actions.
  • Downloaded files show unexpected encoding: ensure the original text is plain UTF-8 and remove exotic control characters before retrying.
  • Path previews feel incomplete: raise the maximum preview paths, recompute, and use CSV export to inspect the full set in an external viewer.
  • Generated environment names look wrong: adjust the prefix, uppercase toggle, or path style until generated names match your platform conventions.

Advanced Tips:

  • Use the schema CSV export as a lightweight contract between teams that share configuration responsibilities.
  • Keep related keys under common prefixes so flattened paths and INI sections naturally group by feature or subsystem.
  • Store one exported format in version control and regenerate others on demand to avoid divergence between configuration copies.
  • Use forced quoting in YAML when downstream tools might misinterpret bare values such as yes, no, or numeric identifiers.
  • Periodically compare key counts and maximum depth between environments to catch configuration drift before it causes incidents.
  • Use the properties export with dotted paths when generating configuration documentation or search indices for operations teams.

Glossary:

Environment configuration file
Text file listing named settings that control application behaviour.
Key
The name on the left side of a configuration entry.
Value
The data associated with a key, parsed as string, number, or boolean.
Scalar value
A leaf value that is not an object or array.
Flattened path
A single string describing the location of a value in the document.
Schema row
An entry summarising the types and example for one path.
Document index
A numeric label identifying which document a row belongs to.
Preview
Shortened representation of a value for quick scanning.