{"workflow":{"id":14545,"name":"Detect, Analyze and Humanize 🕵️‍♂️🔎 AI-generated text using Rephrasy","views":108,"recentViews":22,"totalViews":108,"createdAt":"2026-04-01T09:11:30.030Z","description":"This workflow is designed to **analyze and humanize AI-generated text automatically** using Rephrasy AI.\n\nThe workflow then sends this text to an AI detection service to evaluate how “AI-like” it is. The text is broken down into individual sentences, and each sentence is scored based on its likelihood of being AI-generated.\n\nUsing a conditional logic step, the workflow identifies sentences with a high AI probability (score > 50). Only those sentences are sent to a humanization API, which rewrites them in a more natural, human-like style. Meanwhile, sentences that are already considered human are left unchanged.\n\nFinally, all processed sentences are recombined into a single output text.\n\n👉 In short, the workflow:\n\n* Detects AI-generated content\n* Filters only the parts that need improvement\n* Rewrites them to sound more human\n* Reassembles the final optimized text\n\n---\n\n### Key Benefits\n\n#### 1. ✅ Selective Humanization\n\nInstead of rewriting the entire text, the workflow only modifies sentences that are likely AI-generated.\nThis preserves natural content and reduces unnecessary changes.\n\n#### 2. ✅ Cost Optimization\n\nBy processing only flagged sentences through the humanizer API, it minimizes API usage and costs.\n\n#### 3. ✅ Improved Text Quality\n\nThe final output sounds more natural and less robotic, improving readability and engagement.\n\n#### 4. ✅ Sentence-Level Precision\n\nThe workflow analyzes text at a granular level, allowing highly targeted improvements rather than bulk rewriting.\n\n#### 5. ✅ Automation & Scalability\n\nOnce set up, the process is fully automated and can handle large volumes of text without manual intervention.\n\n#### 6. ✅ Multi-language Support\n\nThe workflow supports multiple languages (even though the humanization step is set to English), making it adaptable to different use cases.\n\n#### 7. ✅ Maintain Structure & Meaning\n\nSince only specific sentences are modified, the original structure and intent of the text remain intact.\n\n---\n\n### How it works\nThis workflow is designed to process a block of text, detect which sentences are likely AI-generated, and rewrite only those sentences to sound more human-like.\n1.  **Trigger and Input:** The workflow starts manually. A \"Set text\" node allows the user to define the text to be processed (stored in the `text` field).\n2.  **AI Detection:** The text is sent to the **Rephrasy AI Detector** API. The API returns an overall AI score and a breakdown (`sentences`) with individual scores for each sentence.\n3.  **Data Parsing:** A \"Code\" node transforms the API's sentence data into a structured array, tagging each sentence as \"ai\" (if the score > 50) or \"human\".\n4.  **Splitting and Looping:** The \"Split Out\" node separates the sentences into individual items. The \"Loop Over Items\" node then iterates over each sentence to decide if it needs processing.\n5.  **Conditional Humanization:** For 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.\n6.  **Reassembly:** Once the loop finishes, the \"Aggregate Text\" node collects all the sentences (both the rewritten AI sentences and the original human sentences) and reassembles them into a single, final text output.\n\n---\n\n### Set up steps\nTo get this workflow running, you need to configure the connections to the Rephrasy API and define the input text.\n\n1.  **Configure Credentials:**\n    *   The workflow uses two nodes: **AI Detector** and **AI Humanizer**.\n    *   Both require an **HTTP Bearer Auth** credential. You must create a credential in n8n named \"Rephrasy\" (or update the node settings to match your credential's name) and populate it with your valid Rephrasy API key.\n\n2.  **Set Input Text:**\n    *   Locate the **Set text** node.\n    *   Modify the `text` assignment value. Currently, it contains a placeholder (`XXX`). Replace this with the text you wish to humanize, or configure it to reference data from a previous trigger (e.g., from a webhook or form).\n\n3.  **Review Language Settings:**\n    *   In the **AI Humanizer** node, check the `language` parameter inside the JSON body. It is currently set to `\"English\"`. Ensure this matches the language of the text you are processing.\n\n4.  **Activate Workflow:**\n    *   Once the credentials are set and the input text is defined, toggle the workflow from **Inactive** to **Active** (or simply execute it manually using the \"Execute Workflow\" button if no trigger is needed).\n\n---\n\n👉 [Subscribe to my new **YouTube channel**](https://youtube.com/@n3witalia). Here I’ll share videos and Shorts with practical tutorials and **FREE templates for n8n**.\n\n[![image](https://n3wstorage.b-cdn.net/n3witalia/youtube-n8n-cover.jpg)](https://youtube.com/@n3witalia)\n\n\n---\n\n### **Need help customizing?**  \n[Contact me](mailto:info@n3w.it) for consulting and support or add me on [Linkedin](https://www.linkedin.com/in/davideboizza/).","workflow":{"id":"zcMsl2ECqGK6naSU","meta":{"instanceId":"a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462","templateCredsSetupCompleted":true},"name":"Detect, Analyze and Humanize AI-generated text","tags":[],"nodes":[{"id":"ef1f3ff4-b88a-4150-bd67-ddca955fd1cd","name":"When clicking ‘Execute workflow’","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":{"id":"1kKmh5OEMecO4Wlf","name":"Rephrasy"}},"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":{"id":"1kKmh5OEMecO4Wlf","name":"Rephrasy"}},"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 “AI-like” 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 “Aggregate Text” 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,"pinData":{},"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 ‘Execute workflow’":{"main":[[{"node":"Set text","type":"main","index":0}]]}}},"lastUpdatedBy":29,"workflowInfo":{"nodeCount":16,"nodeTypes":{"n8n-nodes-base.if":{"count":1},"n8n-nodes-base.set":{"count":3},"n8n-nodes-base.code":{"count":1},"n8n-nodes-base.noOp":{"count":1},"n8n-nodes-base.splitOut":{"count":1},"n8n-nodes-base.aggregate":{"count":1},"n8n-nodes-base.stickyNote":{"count":4},"n8n-nodes-base.httpRequest":{"count":2},"n8n-nodes-base.manualTrigger":{"count":1},"n8n-nodes-base.splitInBatches":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Davide Boizza","username":"n3witalia","bio":"Full-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza and Youtube.com/@n3witalia","verified":true,"links":["https://n3w.it"],"avatar":"https://gravatar.com/avatar/d41b8a0aa81139243509c58870f5b4be292824a507ab57d10ed066d8628ed8da?r=pg&d=retro&size=200"},"nodes":[{"id":19,"icon":"file:httprequest.svg","name":"n8n-nodes-base.httpRequest","codex":{"data":{"alias":["API","Request","URL","Build","cURL"],"resources":{"generic":[{"url":"https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/","icon":"☀️","label":"2021: The Year to Automate the New You with n8n"},{"url":"https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/","icon":"🧬","label":"Why business process automation with n8n can change your daily life"},{"url":"https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/","icon":"📈","label":"Automatically pulling and visualizing data with n8n"},{"url":"https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/","icon":"✍️","label":"Learn how to automatically cross-post your content with n8n"},{"url":"https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/","icon":"🧾","label":"Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"},{"url":"https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/","icon":"🛳","label":"Running n8n on ships: An interview with Maranics"},{"url":"https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/","icon":" 🪢","label":"What are APIs and how to use them with no code"},{"url":"https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/","icon":"⚡️","label":"5 tasks you can automate with the new Notion API "},{"url":"https://n8n.io/blog/world-poetry-day-workflow/","icon":"📜","label":"Celebrating World Poetry Day with a daily poem in Telegram"},{"url":"https://n8n.io/blog/automate-google-apps-for-productivity/","icon":"💡","label":"15 Google apps you can combine and automate to increase productivity"},{"url":"https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/","icon":"🎨","label":"Automate Designs with Bannerbear and n8n"},{"url":"https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/","icon":" 🕸️","label":"How uProc scraped a multi-page website with a low-code workflow"},{"url":"https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/","icon":"📱","label":"Building an expense tracking app in 10 minutes"},{"url":"https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/","icon":"🤖","label":"5 workflow automations for Mattermost that we love at n8n"},{"url":"https://n8n.io/blog/how-to-use-the-http-request-node-the-swiss-army-knife-for-workflow-automation/","icon":"🧰","label":"How to use the HTTP Request Node - 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