The Remove Null Values operation removes null values from a JSON file recursively. For JSON objects, properties whose value is null are removed. For JSON arrays, null elements are removed. The operation then continues through the remaining nested objects and arrays, so null values are removed at every level of the JSON structure. Values that are not null are preserved.
The operation parses the JSON content, walks through its structure, removes null values, and converts the resulting data back into formatted JSON. For example, an object such as {"name":"Alex","age":null} becomes {"name":"Alex"}. If an array contains null, such as [1,null,2], it becomes [1,2]. The same behavior is applied recursively to nested objects and arrays.
Yes. Remove Null Values works recursively, including inside nested objects. If a JSON object contains another object with a null-valued property, that property is removed as well. This makes the operation useful for cleaning JSON structures where null values can occur at different depths rather than only at the top level.
Yes. Null elements are removed from JSON arrays. The remaining array elements are retained and processed recursively, so nested objects or arrays inside the array are also checked for null values. For example, [null,{"name":"Alex","email":null}] becomes [{"name":"Alex"}].
No. The operation specifically removes values that are null. Empty strings, zero, false, and other non-null values are preserved. For example, {"name":"","count":0,"active":false,"value":null} becomes {"name":"","count":0,"active":false}. This distinction is important when cleaning JSON because an empty or false value is not automatically treated as missing.
A property with a null value is removed from the object. Other properties remain unchanged, and their values are recursively processed. If removing a null property leaves an object with no remaining properties, the object itself is retained as an empty JSON object rather than being removed.
Null elements are filtered out of the array, while all non-null elements remain. The remaining elements are then processed recursively. An array containing only null values therefore becomes an empty array. The operation does not remove an entire array merely because it becomes empty.
Yes. The operation only removes values equal to null. Strings, numbers, booleans, objects, arrays, and other non-null JSON values are retained. Objects and arrays are traversed so that null values inside them can also be removed, while the surrounding structure remains in place.
If the file content cannot be parsed as valid JSON, the operation does not complete the transformation. Instead, Lamuki reports a JSON Decode Error with the message Invalid JSON file. Valid JSON is required because the operation first parses the file content before removing null values.
After null values are removed, the resulting data is converted back to JSON with two spaces of indentation. This produces formatted, readable JSON rather than a compact single-line representation. The formatting is applied when the transformed content is written back to the file.
Yes. The operation handles arrays and objects recursively regardless of where they occur in the JSON structure. For example, an array can contain objects, those objects can contain arrays, and those arrays can contain more objects. Each nested structure is checked so that null values are removed throughout the complete JSON value.
This operation can be useful when working with JSON datasets or configuration files that contain unnecessary null values. It can help clean exported data, simplify JSON structures, prepare data for another processing step, or make files easier to inspect when null properties and array elements are not needed. It is particularly useful when null values occur throughout deeply nested JSON.
Open the JSON workspace in Lamuki, add the JSON files you want to process, select the files you want to work on, and choose the Remove Null Values operation. Lamuki processes the selected JSON content in the browser and updates the processed file with the resulting JSON. You can then review the result and continue with another operation or download the files you need.
Yes. Lamuki supports multiple-file processing in its workspaces, so you can select multiple JSON files and apply the Remove Null Values operation to the selected files. Lamuki also provides unlimited batch processing, making the operation suitable for workflows where the same null-value cleanup needs to be applied across many files.
Lamuki supports uploading an entire folder into a workspace. This can be useful when JSON files are organized into a directory and you want to work with them together rather than selecting files individually. After the files are available in the JSON workspace, you can select the files that need the Remove Null Values operation and process them as part of the same workflow.
Yes. Lamuki provides a complete workspace for working with files, allowing you to review processed results as part of your workflow. After Remove Null Values finishes, the JSON content contains the transformed structure with null values removed. You can inspect the result before downloading the files or continuing with another operation.
Yes. Remove Null Values can be part of a longer JSON workflow in the Lamuki workspace. After the operation completes, you can select another operation from the workspace operation interface and continue working with the same files. You do not need to manually download the files and re-upload them between operations.
Yes. Lamuki is free to use, and its operations are available without a paid subscription. Lamuki also provides unlimited batch processing, so the Remove Null Values operation can be used as part of workflows involving multiple files without introducing a paid processing tier.
Yes. Lamuki is browser software designed to process files directly in the user's browser. For this JSON operation, the file content is parsed and transformed in the browser rather than being transferred to a remote server for processing. This allows you to work with JSON files without sending their contents to a remote processing service.
No account creation or login is required to use Lamuki. You can open the JSON workspace and work with your files directly in the browser. This keeps the workflow straightforward while allowing you to process JSON files, review results, continue with additional operations, and download the files you need.
In JSON, null is a specific value that represents the absence of a value. It is different from an empty string, zero, or false. Remove Null Values only targets the JSON value null. An empty string such as "", a number such as 0, and the boolean value false are not removed by this operation.
Yes. When an object property has null as its value, the property and its key are removed from that object. For example, {"id":123,"description":null} becomes {"id":123}. The operation does not replace the property with another value; it removes the null-valued property from the resulting object.
The operation processes the complete JSON value recursively rather than checking only the top level. Nested objects and arrays are included in the transformation. The resulting JSON therefore reflects null removal throughout the structure while preserving non-null data and the overall object and array structure.
The operation is specifically designed for valid JSON and specifically targets null values. It does not remove empty strings, zero, false, empty objects, or empty arrays. When a null occurs inside an object, that property is removed; when a null occurs inside an array, that array element is removed. The resulting JSON is formatted with two-space indentation, which can make the cleaned file easier to review.
