DocumentationWorkflowsanymize

De-anonymize node

Swaps placeholders like [NAME_1] back for the original values. Needs the placeholder mapping from the Anonymize block. Typical use: put original data back before replying to the user. Learn how to configure it, map inputs and outputs, run a test and resolve common errors.

7 min readUpdated

What this node does

Swaps placeholders like [NAME_1] back for the original values. Needs the placeholder mapping from the Anonymize block. Typical use: put original data back before replying to the user.

Use De-anonymize as a clearly defined step in an anymize workflow.

  • Processes one input.
  • Provides one output for following steps.
  • Runs as a regular step in the flow.

Set up the node

  1. 01Open a workflow and add De-anonymize from the node catalog.
  2. 02Complete the required fields and map values from previous steps.
  3. 03Run the node with a small test record and inspect its output.
  4. 04Connect the successful output and activate the workflow after an end-to-end test.

Operations and modes

De-anonymize has one focused purpose. Its available settings appear when you select the node.

Settings

FieldMeaningArea
Anonymized textThe text with placeholders like [NAME_1]. Easiest: drag the result field over from the Anonymize block or from the AI agent.Standard
Run once per itemOff (default): the node runs once for the whole input. On: if it receives several items (e.g. from Split Out), it runs once PER item, and {{ $json }} is that one item each time. This is how you work through a file list entry by entry.Standard
If one item fails"Skip" writes an `error` field for the failed item and keeps processing the rest, instead of losing the whole run to a single unreadable file.Standard
Pause between items (milliseconds)Wait before every run except the first. 1000 = 1 second per item. Useful when the other side would otherwise throttle you. Maximum 300000 (5 minutes).Standard

Inputs and outputs

InputMeaningType
textThe anonymized text.text
mappingPlaceholder → original values.json
OutputMeaningType
De-anonymized textThe re-hydrated original text.text
Source textThe anonymized input text (passed through unchanged).text

This node can process lists item by item. Error handling and the delay between items are available in advanced settings.

Example and test run

Anonymized LLM reply: begin with a small, recognizable record. Inspect the output and only map fields that are present there.

Test-run example

{
  "anonymized_text": "Vielen Dank [NAME_1], wir melden uns an [EMAIL_1] zurück."
}

Access and security

Before activation, review which data enters this step and what its output contains.

Store keys and credentials in the protected connection manager. Never paste them into normal workflow fields, test data or descriptions.

Troubleshooting

  • No output: inspect the latest run and confirm that the previous node returned the expected fields.
  • Empty variable: open the previous step output and use a field name from the real test data.
  • List processed once: enable per-item execution in advanced settings.