Hide JSON Strings

What It Does

The Hide JSON Strings tool lets you instantly mask all string values inside a JSON object, replacing them with a customizable placeholder such as `***`, `[HIDDEN]`, or any text you choose. The JSON structure — including all keys, numbers, booleans, arrays, and nested objects — is preserved exactly as-is, so the shape of your data remains fully visible while the sensitive content is concealed. This is an essential utility for developers, technical writers, and API teams who regularly work with real data but need to share or publish sanitized versions. Whether you're writing API documentation, filing a bug report, asking a question on Stack Overflow, or demoing a product to a client, raw JSON often contains names, email addresses, tokens, passwords, or personally identifiable information that must never be exposed publicly. Rather than manually hunting through every string field — a process that's tedious and error-prone — this tool processes the entire JSON payload in one pass, guaranteeing that no string value slips through. It's equally useful for creating JSON schema templates: by hiding the real values, you produce a clean skeleton that shows exactly which fields are present and what types they hold, without revealing anything confidential. The result is always valid, well-formed JSON that can be pasted directly into documentation, tickets, or code reviews.

How It Works

Hide JSON Strings swaps one pattern, character set, or representation for another. The interesting part is not just what appears in the output, but how consistently the replacement is applied across mixed input.

Replacement logic usually follows the exact match rule the tool expects. Small differences in case, punctuation, or surrounding whitespace can explain why one segment changes and another does not.

All processing happens in your browser, so your input stays on your device during the transformation.

Common Use Cases

• Sanitizing JSON API responses before pasting them into public GitHub issues or Stack Overflow questions to avoid leaking user data or auth tokens.
• Generating safe example payloads for API documentation where the structure must be accurate but real customer data cannot be shown.
• Creating redacted JSON fixtures for onboarding new team members who need to understand the data shape without accessing production values.
• Stripping sensitive strings from webhook payloads or third-party API responses before sharing them with external support teams during incident investigations.
• Building JSON schema templates from live data by replacing all string values with descriptive placeholders like '[string]' to illustrate field names and nesting.
• Preparing demo datasets for product walkthroughs or sales presentations where real customer information must remain private.
• Auditing large JSON configurations to understand the structure without exposing secrets, environment variables, or credentials embedded as string values.

How to Use

1. Paste or type your JSON into the input panel — this can be any valid JSON object or array, regardless of depth or complexity.
2. Choose your placeholder text in the settings field. The default is typically '***' but you can enter any string such as '[HIDDEN]', '[REDACTED]', 'XXXX', or a descriptive label like '[string]'.
3. Click the 'Hide Strings' button to process the JSON. The tool traverses every node in the structure and replaces each string value with your chosen placeholder while leaving numbers, booleans, nulls, keys, and structural characters untouched.
4. Review the output in the result panel to confirm all string values have been masked and the JSON structure looks correct. Nested objects and arrays should appear exactly as in the original.
5. Copy the sanitized JSON using the Copy button and paste it wherever you need — documentation, a bug tracker, a chat message, or a code repository.

Features

• Deep recursive traversal that masks string values at every level of nesting, including strings inside arrays and deeply nested objects, with no depth limit.
• Fully customizable placeholder text so you can match the conventions of your documentation or team style guide — use '***', '[REDACTED]', '[string]', or any value you prefer.
• Non-destructive processing that preserves all JSON keys, numeric values, boolean flags, null values, array ordering, and object structure so the output is structurally identical to the input.
• Guaranteed valid JSON output that can be parsed, reformatted, or validated by any standard JSON tool immediately after masking.
• Handles complex real-world payloads including deeply nested API responses, mixed-type arrays, and configurations with hundreds of fields without performance issues.
• Instant client-side processing that keeps your sensitive data private — JSON is never transmitted to a server, making it safe to use with confidential production payloads.
• Clear visual diff between input and output so you can immediately see which fields were masked and verify nothing structural was altered.

Examples

Below is a representative input and output so you can see the transformation clearly.

{"email":"ada@example.com","token":"abc123"}

{"email":"***","token":"***"}

Edge Cases

• Very large inputs can still stress the browser, especially when the tool is working across many JSON values. Split huge jobs into smaller batches if the page becomes sluggish.
• Overlapping patterns and global replacements can produce broader changes than expected, so preview a small sample before full input.
• If the output looks wrong, compare the exact input and option values first, because Hide JSON Strings should be repeatable with the same settings.

Troubleshooting

• Unexpected output often means the input is being split or interpreted at the wrong unit. For Hide JSON Strings, that unit is usually JSON values.
• If a previous run looked different, check for hidden whitespace, changed separators, or a setting that was toggled accidentally.
• If nothing changes, confirm that the input actually contains the pattern or structure this tool operates on.
• If the page feels slow, reduce the input size and test a smaller sample first.

Tips

When choosing a placeholder, pick something descriptive rather than just '***' if you're creating documentation — a placeholder like '[user-provided string]' or '[ISO 8601 date]' adds context for readers trying to understand the API. If your JSON contains strings that are actually identifiers or enum values (like status codes or type labels) that you want to keep visible, consider reviewing the output manually and restoring those specific values. For very large JSON payloads, paste a trimmed version first to verify the placeholder setting looks right before processing the full dataset. Always validate the output with a JSON linter before including it in official documentation to catch any edge cases.