JSON Simple Merge Tool Online - EXUtil Extended Utilities
Free online JSON simple merge tool. Perform shallow merge of two JSON objects where properties from the latter overwrite those with the same name from the former, perfect for quickly merging configuration data.
How to use
- Paste or import the content you want to process.
- Choose an available action and run the tool.
- Review the result, then copy or download the output.
Frequently asked questions
- What is JSON simple merge?
- JSON simple merge (shallow merge) combines the top-level properties of two JSON objects into a new object. If both objects have properties with the same name, the value from the second object will overwrite the first. This merge does not recursively process nested objects and is suitable for quickly merging configuration data.
- What is the difference between simple merge and deep merge?
- Simple merge only combines top-level object properties, and nested objects are directly replaced; Deep merge recursively merges nested objects, combining properties of both nested objects. For example, if both objects have an address property, simple merge will completely replace it, while deep merge will merge the properties within the address.
- How are arrays handled during merge?
- Both simple merge and deep merge will directly replace arrays rather than merging them. If a property in the second object is an array, it will completely replace the property with the same name in the first object (even if that property in the first object is also an array).
- Can merged data be undone?
- The merge operation does not modify the original data but generates a new merged JSON object. If you want to revert to the pre-merge state, simply clear the output area and re-enter the original data. It is recommended to backup original data before performing important data merges.
- What size of JSON data is supported for merging?
- Most regular-sized JSON objects are supported. For large objects over 1MB, browser performance may be affected. If you encounter performance issues, consider processing in batches or simplifying the data structure before merging.