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JSON Timestamp Converter - Convert Timestamps in JSON

Detect and convert all timestamps in JSON between Unix, ISO 8601, and locale formats.

Input

json
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Paste your JSON here...
or drop a file anywhere in this pane

Output

json

Converted JSON will appear here...
press to convert timestamps

What Is JSON Timestamp Conversion?

JSON timestamp conversion is the process of detecting time-related values — such as Unix epoch seconds, Unix milliseconds, or ISO 8601 strings — within a JSON document and converting them to a consistent format. Many systems store timestamps in different formats, making cross-platform data integration challenging.

This is used for:

  • Data Normalization: Convert all timestamps in a dataset to ISO 8601 before loading into a data warehouse.
  • API Response Cleaning: Standardize date fields from multiple APIs that each use different timestamp conventions.
  • Debugging & Auditing: Make Unix timestamps human-readable by converting them to locale-aware date strings.

How to Use the JSON Timestamp Converter Online

  1. Paste your JSON: Enter any JSON document containing timestamp values.
  2. Click Convert Timestamps: The tool recursively scans every value for Unix seconds, milliseconds, and ISO 8601 patterns.
  3. Get normalized output: All detected timestamps are replaced with formatted ISO 8601 strings for consistent readability.

Frequently Asked Questions

What timestamp formats are detected?

The tool detects Unix timestamps in seconds (10 digits), Unix milliseconds (13 digits), and ISO 8601 strings like 2024-01-01T00:00:00Z. It also recognizes variations with timezone offsets.

Is this tool safe?

Yes. All processing happens 100% client-side in your browser. Nothing is uploaded to any server.

Is this tool free?

Yes, completely free with no usage limits or registration required.

Real-World Examples

A data engineer ingesting logs from microservices that emit Unix timestamps alongside a CRM API that uses ISO 8601 can run the combined JSON through this converter. The output normalizes every date field, making downstream ETL processes much simpler.

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