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Pipeline template

Remove Null Fields

Remove null and empty values from JSON while preserving useful fields, making API responses cleaner for export, validation, and sharing.

Runnable example

Run this template on your JSON

Start from the sample input, edit the JSON, and open the same pipeline in the visual editor when you want to customize it.

{
"users": [
{
"id": 1,
"name": " Alice Johnson ",
"email": "alice@example.com",
"phone": null,
"bio": "Software engineer ",
"tags": [],
"address": {
"street": "123 Main St",
"city": "Portland",
"state": "OR",
"zip": "97201",
"apartment": null
},
"preferences": {
"newsletter": true,
"theme": "dark",
"language": "",
"notifications": null
}
},
{
"id": 2,
"name": "Bob Smith",
"email": "bob@example.com ",
"phone": null,
"bio": "",
"tags": [
"developer",
"mentor"
],
"address": {
"street": "456 Oak Ave ",
"city": "Seattle",
"state": "WA",
"zip": "98101",
"apartment": ""
},
"preferences": {
"newsletter": false,
"theme": " light ",
"language": null,
"notifications": []
}
}
]
}
Output
Output will appear here after you run the pipeline.

Love the result?

Use this exact pipeline in your app, backend, or LLM workflow.

No setup needed. Works with curl, Node, Python.

Uses example data. For edited input, copy from the playground.

Read integration guide

Need multiple transformations?

Try ForgeJSON Pipeline to combine extraction, cleanup, normalization, validation, and export steps into one reusable workflow.

Try ForgeJSON Pipeline