Davide Boizza This workflow corresponds to n8n.io template #14545 — we link there as the canonical source.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "zcMsl2ECqGK6naSU",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Detect, Analyze and Humanize AI-generated text",
"tags": [],
"nodes": [
{
"id": "ef1f3ff4-b88a-4150-bd67-ddca955fd1cd",
"name": "When clicking \u2018Execute workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-32,
496
],
"parameters": {},
"typeVersion": 1
},
{
"id": "fd13ca46-8b5e-47af-a8d9-dc435580392d",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
176,
352
],
"parameters": {
"color": 7,
"width": 1120,
"height": 560,
"content": "## STEP 1 - Detect text AI\n\"Set Text\" in the relative node\nSupported Languages:\n - English, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Japanese\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nScore Interpretation:\n - Overall Score: Ranges from 0 (human) to 100 (AI).\n - Sentence Scores (mode = \"depth\"): 0 is human, 100 is AI.\n - Other modes: 100 indicates human, 0 indicates AI.\n\nFlesch Score Interpretation:\n - The Flesch score measures readability. Higher scores indicate easier-to-read text.\n - Range: 0-100. A score of 60-70 is easily readable for 13- to 15-year-olds.\n - A higher score often means simpler language."
},
"typeVersion": 1
},
{
"id": "0b83d4a2-b3b8-401c-bb8c-116f64332e9c",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
1168,
496
],
"parameters": {
"include": "allOtherFields",
"options": {},
"fieldToSplitOut": "sentences"
},
"typeVersion": 1
},
{
"id": "2bd02c16-3abe-425b-8cea-aaa2f0dcf982",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1424,
496
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "715bdee9-eea0-4f7b-a94f-231eb7ef4d53",
"name": "Set text",
"type": "n8n-nodes-base.set",
"position": [
240,
496
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9c8ea44b-8910-4d4b-b754-2c79790e6d69",
"name": "text",
"type": "string",
"value": "XXX"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8e122543-dd1a-4f50-8f7d-73434d2b21f9",
"name": "AI Detector",
"type": "n8n-nodes-base.httpRequest",
"position": [
576,
496
],
"parameters": {
"url": "https://detector.rephrasy.ai/detect_api",
"method": "POST",
"options": {},
"jsonBody": "={\n \"text\": \"{{ $json.text }}\", \n \"mode\": \"depth\"\n} ",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.4
},
{
"id": "b2f4a6dc-7c94-4f32-bcc1-37ec40daac27",
"name": "AI Humanizer",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
368
],
"parameters": {
"url": "https://v2-humanizer.rephrasy.ai/api",
"method": "POST",
"options": {},
"jsonBody": "={\n \"text\": \"{{ $json.sentences.text }}\", \n \"model\": \"v3\", \n \"words\": true, \n \"costs\": true, \n \"language\": \"English\"\n} ",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.4
},
{
"id": "ca618c12-023e-44b9-a1b4-7b2d3d8859cd",
"name": "Get sentences",
"type": "n8n-nodes-base.code",
"position": [
864,
496
],
"parameters": {
"jsCode": "const output = [];\n\nfor (const item of $input.all()) {\n\n const input = item.json;\n\n const data = Array.isArray(input) ? input[0] : input;\n\n const sentences = data.sentences || {};\n\n const merged = [];\n\n for (const [text, score] of Object.entries(sentences)) {\n merged.push({\n text,\n score,\n type: score > 50 ? \"ai\" : \"human\"\n });\n }\n\n output.push({\n json: {\n sentences: merged\n }\n });\n}\n\nreturn output;"
},
"typeVersion": 2
},
{
"id": "555d788a-e44c-46f2-985a-9c0a7c513213",
"name": "> 50?",
"type": "n8n-nodes-base.if",
"position": [
1728,
512
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7fdefab6-fba8-4036-a279-7dcff04d23a3",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.sentences.score }}",
"rightValue": 50
}
]
}
},
"typeVersion": 2.3
},
{
"id": "34f11c29-87dd-4855-8d03-985f2a75ae77",
"name": "Text",
"type": "n8n-nodes-base.set",
"position": [
2080,
592
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "70cc6f8a-85f4-41a4-91fa-0f34efdbc8a7",
"name": "text",
"type": "string",
"value": "={{ $json.sentences.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "37f68738-b5d0-4732-a633-cfd601a7ad2d",
"name": "Continue...",
"type": "n8n-nodes-base.noOp",
"position": [
2064,
48
],
"parameters": {},
"typeVersion": 1
},
{
"id": "c7086527-1ac1-4c4b-83d2-45e64c8f294c",
"name": "Text 2",
"type": "n8n-nodes-base.set",
"position": [
2432,
704
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "7ae2d5b9-fe1d-478e-b276-4ed9bdca522f",
"name": "text",
"type": "string",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8327437e-b39d-4a59-a257-fb9c0a7a9b8c",
"name": "Aggregate Text",
"type": "n8n-nodes-base.aggregate",
"position": [
1744,
48
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "text"
}
]
}
},
"typeVersion": 1
},
{
"id": "3b7efced-5217-4134-a3fd-4eaabb3319d6",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
176,
-96
],
"parameters": {
"width": 1120,
"height": 432,
"content": "## Detect, Analyze and Humanize AI-generated text automatically\nThe workflow then sends this text to an AI detection service to evaluate how \u201cAI-like\u201d it is. The text is broken down into individual sentences, and each sentence is scored based on its likelihood of being AI-generated.\n\n### How it works\n\nThe workflow takes an input text, sends it to the Rephrasy AI Detector, and receives sentence-level scores showing how likely each sentence is to be AI-generated. A code step labels each sentence as AI or human, then the workflow loops through them and only routes sentences with a score above 50 to the AI Humanizer for rewriting. Sentences already considered human are kept unchanged, and all results are merged back into one final text.\n\n### Setup steps\n\nCreate and connect an HTTP Bearer Auth credential in n8n for both the AI Detector and AI Humanizer nodes using your Rephrasy API key. Then update the **Set text** node with the text you want to process, or map in text from another trigger such as a webhook or form. Check that the `language` field in the AI Humanizer node matches your input language, then run the workflow manually or activate it for ongoing use.\n"
},
"typeVersion": 1
},
{
"id": "7e8c2f91-e216-4d7b-be8e-52efb57d6f9d",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1696,
240
],
"parameters": {
"color": 7,
"width": 992,
"height": 672,
"content": "## STEP 2 - Conditional Humanization\n\nFor each sentence, the \"> 50?\" node (IF condition) checks the AI score. If the score is greater than 50 (indicating AI), the workflow routes the sentence to the **AI Humanizer** node to be rewritten. If the score is 50 or less (human), the sentence is passed through unchanged."
},
"typeVersion": 1
},
{
"id": "358246c3-08d2-4edb-8f96-89c76ced1438",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1696,
-96
],
"parameters": {
"color": 7,
"width": 992,
"height": 320,
"content": "## STEP 3 - Reassembly\n\nOnce the loop finishes, the \u201cAggregate Text\u201d node collects all the sentences (both the rewritten AI sentences and the original human sentences) and reassembles them into a single, final text output."
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"binaryMode": "separate",
"executionOrder": "v1"
},
"versionId": "0633093c-7dbb-429d-af22-f7ad8847b499",
"connections": {
"Text": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"> 50?": {
"main": [
[
{
"node": "AI Humanizer",
"type": "main",
"index": 0
}
],
[
{
"node": "Text",
"type": "main",
"index": 0
}
]
]
},
"Text 2": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Set text": {
"main": [
[
{
"node": "AI Detector",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"AI Detector": {
"main": [
[
{
"node": "Get sentences",
"type": "main",
"index": 0
}
]
]
},
"AI Humanizer": {
"main": [
[
{
"node": "Text 2",
"type": "main",
"index": 0
}
]
]
},
"Get sentences": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Aggregate Text": {
"main": [
[
{
"node": "Continue...",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "Aggregate Text",
"type": "main",
"index": 0
}
],
[
{
"node": "> 50?",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Set text",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
httpBearerAuth
Pro
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About this workflow
This workflow is designed to analyze and humanize AI-generated text automatically using Rephrasy AI.
Source: https://n8n.io/workflows/14545/ — original creator credit. Request a take-down →
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