{"workflow":{"id":14856,"name":"Screen resumes with GPT-4 Turbo from Gmail and send shortlisted to Slack","views":0,"recentViews":0,"totalViews":0,"createdAt":"2026-04-07T11:39:39.251Z","description":"# AI Resume Screening Workflow using Gmail, OpenAI (GPT-4 Turbo) & Slack\n\nThis workflow automatically fetches resumes from Gmail, extracts text from PDF attachments, analyzes candidate profiles using AI, and shortlists qualified candidates by sending their details to Slack. It significantly reduces manual effort in resume screening and speeds up hiring decisions.\n\n### Quick Implementation Steps\n\n1. Connect your Gmail account in n8n\n2. Connect your OpenAI API (GPT-4 Turbo)\n3. Connect your Slack account\n4. Ensure resumes are received as PDF attachments in Gmail\n5. Update job requirements inside the AI Resume Analyzer node\n6. Run the workflow manually or activate it  \n\n\n## What It Does\n\nThis workflow automates the resume screening process by integrating Gmail, AI, and Slack into a seamless pipeline. It starts by fetching emails containing resume attachments, then processes and validates these files to ensure only PDF resumes are analyzed.\n\nOnce validated, the workflow extracts text from each resume and sends it to an AI model. The AI evaluates candidate details such as skills, experience, and contact information, and calculates a match score based on predefined job requirements.\n\nFinally, the workflow determines whether a candidate should be shortlisted or rejected. Shortlisted candidates are instantly shared on Slack with complete details, enabling faster hiring decisions and reducing manual screening effort.\n\n\n## Who’s It For\n\n- HR teams and recruiters\n- Hiring managers\n- Startups handling large volumes of applications\n- Recruitment agencies\n- Businesses looking to automate candidate screening  \n\n\n## Requirements to Use This Workflow\n\n- n8n (self-hosted or cloud)\n- Gmail account (OAuth connected)\n- OpenAI API key (GPT-4 Turbo access)\n- Slack account (with channel access)\n- Resumes in PDF format\n- Basic understanding of n8n workflows  \n\n\n## How It Works & Set Up\n\n### Setup Instructions\n\n1. **Manual Trigger Setup**\n\nUse the *Start Workflow Manually* node to initiate the workflow.\n\n2. **Gmail Configuration**\n\nConnect your Gmail account in the *Fetch Gmail* node. Ensure emails contain resume attachments.\n\n3. **Attachment Processing**\n\nThe workflow formats and checks attachments. Only emails with attachments proceed further.\n\n4. **PDF Validation**\n\nEnsure resumes are in PDF format. Non-PDF files are ignored automatically.\n\n5. **Text Extraction**\n\nThe *Extract Resume Text* node converts PDF resumes into plain text.\n\n6. **AI Configuration**\n\nAdd your OpenAI credentials in the *OpenAI Chat Model* node. Customize job requirements inside the *AI Resume Analyzer* node prompt.\n\n7. **Evaluation Logic**\n\nCandidates are scored based on:     \n- Skills (50%)\n- Experience (30%)\n- Location (20%)\n\n8. **Output Handling**\n\nIf score ≥ 70 → Sent to Slack as shortlisted. Else → Marked as rejected  \n\n9. **Activate Workflow**\n\nRun manually or activate for continuous use.\n\n\n## How To Customize Nodes\n\n- **AI Resume Analyzer**  - Modify job requirements (skills, experience, location). Adjust scoring logic or threshold\n\n- **Evaluate Candidate Score**  - Change minimum score (default: 70)\n\n- **Slack Node**  - Customize message format. Change Slack channel\n\n- **Gmail Node**  - Add filters (labels, subjects, senders)\n\n- **Extract Resume Text**  - Extend for other file formats if needed\n\n\n## 1.8 Add-ons (Enhancements)\n\n- Store shortlisted candidates in Google Sheets or database\n- Send rejection emails automatically\n- Add ATS (Applicant Tracking System) integration\n- Include resume ranking system\n- Add duplicate candidate detection\n- Enable multi-role job matching  \n\n\n## 1.9 Use Case Examples\n\n- Automating resume screening for tech hiring\n- Filtering candidates for specific skill sets (e.g., React Native developers)\n- Handling bulk job applications efficiently\n- Shortlisting candidates for remote roles\n- Pre-screening candidates before interviews  \n\nThere can be many more use cases depending on hiring workflows and business needs.\n\n\n## 1.10 Troubleshooting Guide\n\n| Issue                     | Possible Cause                                      | Solution                                                   |\n|---------------------------|-----------------------------------------------------|------------------------------------------------------------|\n| No emails fetched         | Gmail not connected or incorrect filters           | Reconnect Gmail and check filters                          |\n| Attachments not processed | Emails don’t contain attachments                   | Ensure resumes are attached                                |\n| PDF not detected          | Incorrect file type                                | Ensure resumes are in PDF format                           |\n| AI response parsing error | Invalid JSON from AI                               | Check prompt and enforce strict JSON                       |\n| No Slack message          | Slack credentials or channel issue                 | Verify Slack connection and channel ID                     |\n| Low-quality matches       | Incorrect job requirements                         | Update AI prompt with accurate criteria                    |\n\n\n## Need Help?\n\nIf you need assistance setting up this workflow or customizing it for your business needs, we’re here to help.\n\nWhether you want to:\n- Extend this workflow with advanced features\n- Integrate it with your existing systems\n- Build similar automation solutions  \n\nFeel free to reach out to our [n8n workflow development](https://www.weblineindia.com/n8n-automation/) experts at **WeblineIndia** for expert support and tailored workflow development.\n\n👉 Let us help you automate smarter and scale faster.","workflow":{"id":"tNOLOnPY0dAIq3wC","meta":{"instanceId":"14e4c77104722ab186539dfea5182e419aecc83d85963fe13f6de862c875ebfa","templateCredsSetupCompleted":true},"name":"Resume Screener(HR Automation)","tags":[],"nodes":[{"id":"584caae3-044e-493a-ac70-6db4ea431c6b","name":"OpenAI Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[176,624],"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4-turbo","cachedResultName":"gpt-4-turbo"},"options":{}},"credentials":{"openAiApi":{"id":"ERYFwGU6ssapOmLu","name":"OpenAi account 36"}},"typeVersion":1.2},{"id":"9a392def-0ab3-4d3b-82dc-1ecd64bce03c","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-1904,-400],"parameters":{"width":928,"height":496,"content":"## Workflow Overview & Setup Guide\nThis workflow automates the process of screening resumes using AI. It starts by fetching email drafts from Gmail that contain resume attachments. The attachments are formatted and validated to ensure they are usable files, specifically PDFs. Each file is processed individually, and its content is extracted as plain text.\n\nThe extracted resume text is then sent to an AI model, which analyzes candidate details such as skills, experience, and contact information. The AI also calculates a match score based on predefined job requirements. The response is parsed into structured JSON format for consistency.\n\nNext, the workflow evaluates the candidate using the match score. If the score meets or exceeds the defined threshold, the candidate is shortlisted and their details are sent to a Slack channel. If not, the candidate is marked as rejected.\n\nSetup steps:\n1. Connect your Gmail account to fetch drafts with attachments\n2. Configure OpenAI API credentials for AI analysis\n3. Connect Slack account for notifications\n4. Ensure resumes are in PDF format\n5. Adjust job requirements in AI prompt if needed\n\nThis workflow reduces manual screening effort and speeds up the hiring process efficiently.\n"},"typeVersion":1},{"id":"1909bf65-f0be-4679-941c-e6fbc7043d0c","name":"Fetch Gmail","type":"n8n-nodes-base.gmail","position":[-1648,384],"webhookId":"5c78cfcf-4296-437c-b820-cc81c3b62a56","parameters":{"filters":{},"operation":"getAll"},"credentials":{"gmailOAuth2":{"id":"ke55irdef9ghJdEG","name":"Gmail account 42"}},"typeVersion":2.1},{"id":"cbb75e96-60a8-4620-ad83-c44bcad28f78","name":"Format Attachments","type":"n8n-nodes-base.function","position":[-1424,384],"parameters":{"functionCode":"const attachments = items[0].binary || {};\n\nconst files = Object.keys(attachments).map(key => {\n  return {\n    json: {\n      fileName: key\n    },\n    binary: {\n      data: attachments[key]\n    }\n  };\n});\n\nreturn files;"},"typeVersion":1},{"id":"fc0829f2-a829-44c0-8eaf-5cbed9d51ff2","name":"Check Attachments Exist","type":"n8n-nodes-base.if","position":[-1200,384],"parameters":{"conditions":{"boolean":[{"value1":"={{Object.keys($binary || {}).length > 0}}","value2":"={{ true }}"}]}},"typeVersion":1},{"id":"7bf4f5c6-e1de-44b5-9484-ef09822eac37","name":"Process Each Attachment","type":"n8n-nodes-base.splitInBatches","position":[-864,384],"parameters":{"options":{},"batchSize":1},"typeVersion":1},{"id":"0bc95d8b-35a5-430f-86db-6e3ae27a4b86","name":"Validate PDF File","type":"n8n-nodes-base.if","position":[-656,384],"parameters":{"conditions":{"string":[{"value1":"={{$binary.data.mimeType}}","value2":"application/pdf"}]}},"typeVersion":1},{"id":"75bf5aeb-610e-4b49-bd72-7b42e95cddb9","name":"Extract Resume Text","type":"n8n-nodes-base.extractFromFile","position":[-272,384],"parameters":{"options":{},"operation":"pdf"},"typeVersion":1},{"id":"aaf1d2ac-5865-4363-b054-8f9fdf307ea1","name":"AI Resume Analyzer","type":"@n8n/n8n-nodes-langchain.agent","position":[176,384],"parameters":{"text":"=You are an expert HR assistant and resume parser.\n\nYour task is to extract structured information from resume text and evaluate the candidate against job requirements.\n\nYou MUST return ONLY valid JSON. No explanation, no markdown, no extra text.\n\n\n\nJOB REQUIREMENTS:\n- Skills: React Native, JavaScript, REST APIs, Git, Expo\n- Experience: 3+ years\n- Location: India (preferred)\n\nRESUME TEXT:\n{{ $json.text }}\n\n---\n\nINSTRUCTIONS:\n\n1. Extract the following fields:\n- full_name\n- email\n- phone\n- skills (array)\n- total_experience (in years, number)\n- current_company (if available)\n\n2. Match candidate skills with job requirements.\n\n3. Calculate a score out of 100 based on:\n- Skills match (50%)\n- Experience (30%)\n- Location relevance (20%)\n\n4. Decision:\n- If score >= 70 → \"SHORTLISTED\"\n- Else → \"REJECTED\"\n\n---\n\nOUTPUT FORMAT (STRICT JSON):\n\n{\n  \"full_name\": \"\",\n  \"email\": \"\",\n  \"phone\": \"\",\n  \"skills\": [],\n  \"total_experience\": 0,\n  \"current_company\": \"\",\n  \"match_score\": 0,\n  \"decision\": \"SHORTLISTED or REJECTED\",\n  \"reason\": \"\"\n}","options":{},"promptType":"define","hasOutputParser":true},"typeVersion":3},{"id":"cf8226b3-a0ec-45ea-aa5e-9fa03c9751bb","name":"Parse AI Response","type":"n8n-nodes-base.code","position":[480,384],"parameters":{"jsCode":"return items.map(item => {\n  let raw = item.json.output;\n\n  try {\n    // Step 1: Clean string (remove line breaks)\n    raw = raw.replace(/\\\\n/g, '');\n\n    // Step 2: Parse JSON string\n    const parsed = JSON.parse(raw);\n\n    return {\n      json: parsed\n    };\n\n  } catch (err) {\n    return {\n      json: {\n        success: false,\n        error: \"JSON_PARSE_ERROR\",\n        raw_output: item.json.output\n      }\n    };\n  }\n});"},"typeVersion":2},{"id":"53ba0675-ecaa-46a1-8d7e-aceace3c25a2","name":"Evaluate Candidate Score","type":"n8n-nodes-base.if","position":[928,384],"parameters":{"conditions":{"number":[{"value1":"={{ $json.match_score }}","value2":70,"operation":"largerEqual"}]}},"typeVersion":1},{"id":"dd3d6690-bca9-4c7d-8cfb-fa05b2196a1a","name":"Send Shortlisted to Slack","type":"n8n-nodes-base.slack","position":[1536,368],"webhookId":"4c4950c8-a9f7-4ce4-baa9-4e9a1fb0c1d8","parameters":{"text":"=Candidate Shortlisted\n\nName: {{ $json.full_name }}\nEmail: {{ $json.email }}\nPhone: {{ $json.phone }}\n\nCurrent Company: {{ $json.current_company }}\nExperience: {{ $json.total_experience }} years\n\nSkills: {{ $json.skills.join(\", \") }}\n\nMatch Score: {{ $json.match_score }}%\n\nReason: {{ $json.reason }}\n\nStatus: SHORTLISTED\nReady for next round of evaluation/interview","select":"channel","channelId":{"__rl":true,"mode":"list","value":"C0ALTQD6L0H","cachedResultName":"feature-addition"},"otherOptions":{}},"credentials":{"slackApi":{"id":"dRQEMAne82jxjlmX","name":"Slack account 36"}},"typeVersion":2.3},{"id":"72451af3-e284-486f-9d6f-ef2cd2f37073","name":"Mark as Rejected","type":"n8n-nodes-base.set","position":[1536,592],"parameters":{"values":{"string":[{"name":"status","value":"Rejected candidate"}]},"options":{}},"typeVersion":1},{"id":"715f2534-55f0-4473-b186-c6351fd40469","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-1920,208],"parameters":{"color":7,"width":896,"height":432,"content":"## Fetch and Prepare Resume Files\nThis section retrieves email drafts from Gmail and prepares attachments for processing. It ensures all attached files are structured properly and checks whether attachments exist before moving forward. This helps in filtering only relevant emails that contain resume files for further evaluation."},"typeVersion":1},{"id":"9150f935-748f-4220-9fb7-037570cb8b84","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-928,192],"parameters":{"color":7,"width":448,"height":448,"content":"## Process and Validate Resume Files\nThis section handles multiple attachments by splitting them into individual items. It validates whether each file is a PDF and ensures only supported resume formats are processed. This step prevents errors and guarantees that only valid resume files proceed to text extraction."},"typeVersion":1},{"id":"8c602ea8-5cde-4822-9eb2-0eb19dfbe31c","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[-384,192],"parameters":{"color":7,"width":368,"height":448,"content":"## Extract Resume Content\nThis section extracts readable text from PDF resumes. The extracted content is essential for AI analysis. It converts unstructured resume files into plain text format, enabling further processing like data extraction, skill matching, and candidate evaluation."},"typeVersion":1},{"id":"00373f58-a8e4-4138-afe3-437691f43e4f","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[96,192],"parameters":{"color":7,"width":608,"height":592,"content":"## Analyze Resume with AI\nThis section sends extracted resume text to an AI model for structured analysis. The AI extracts candidate details such as name, skills, and experience, and calculates a match score. The response is then cleaned and converted into proper JSON format for further decision-making."},"typeVersion":1},{"id":"403cc3f4-9e9c-42f3-bf96-6d6159a0eaf0","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[800,192],"parameters":{"color":7,"width":384,"height":448,"content":"## Evaluate Candidate Eligibility\nThis section evaluates the candidate based on the AI-generated match score. It checks whether the score meets the required threshold. Based on the result, the workflow decides if the candidate should be shortlisted or rejected for further processing."},"typeVersion":1},{"id":"c2dd667a-835f-4da4-95e8-728e7f2abcd3","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[1296,192],"parameters":{"color":7,"width":544,"height":608,"content":"## Send Results and Final Status\nThis section handles the final outcome of the evaluation. Shortlisted candidates are sent to Slack with detailed information, including skills and match score. Rejected candidates are marked accordingly. This ensures clear communication and proper tracking of candidate status."},"typeVersion":1},{"id":"118ad8f9-4af8-43dc-b8b6-d66d2b45d06f","name":"Start Workflow Manually","type":"n8n-nodes-base.manualTrigger","position":[-1872,384],"parameters":{},"typeVersion":1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"db6caaf6-1fd4-4570-95a5-3922a0888f44","connections":{"Fetch Gmail":{"main":[[{"node":"Format Attachments","type":"main","index":0}]]},"Mark as Rejected":{"main":[[]]},"OpenAI Chat Model":{"ai_languageModel":[[{"node":"AI Resume Analyzer","type":"ai_languageModel","index":0}]]},"Parse AI Response":{"main":[[{"node":"Evaluate Candidate Score","type":"main","index":0}]]},"Validate PDF File":{"main":[[{"node":"Extract Resume Text","type":"main","index":0}]]},"AI Resume Analyzer":{"main":[[{"node":"Parse AI Response","type":"main","index":0}]]},"Format Attachments":{"main":[[{"node":"Check Attachments Exist","type":"main","index":0}]]},"Extract Resume Text":{"main":[[{"node":"AI Resume Analyzer","type":"main","index":0}]]},"Check Attachments Exist":{"main":[[{"node":"Process Each Attachment","type":"main","index":0}]]},"Process Each Attachment":{"main":[[{"node":"Validate PDF File","type":"main","index":0}]]},"Start Workflow Manually":{"main":[[{"node":"Fetch Gmail","type":"main","index":0}]]},"Evaluate Candidate Score":{"main":[[{"node":"Send Shortlisted to Slack","type":"main","index":0}],[{"node":"Mark as Rejected","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":20,"nodeTypes":{"n8n-nodes-base.if":{"count":3},"n8n-nodes-base.set":{"count":1},"n8n-nodes-base.code":{"count":1},"n8n-nodes-base.gmail":{"count":1},"n8n-nodes-base.slack":{"count":1},"n8n-nodes-base.function":{"count":1},"n8n-nodes-base.stickyNote":{"count":7},"n8n-nodes-base.manualTrigger":{"count":1},"n8n-nodes-base.splitInBatches":{"count":1},"@n8n/n8n-nodes-langchain.agent":{"count":1},"n8n-nodes-base.extractFromFile":{"count":1},"@n8n/n8n-nodes-langchain.lmChatOpenAi":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"WeblineIndia","username":"weblineindia","bio":"A Leading Software Engineering, Consulting & Outsourcing Services Company in USA & India serving Clients Globally since 1999.","verified":true,"links":["https://www.weblineindia.com/hire-n8n-developers/"],"avatar":"https://gravatar.com/avatar/a229d43aefca4588581583c58bb37b4773aebbdf4c1fef86a08bb1d38eae91fa?r=pg&d=retro&size=200"},"nodes":[{"id":14,"icon":"fa:code","name":"n8n-nodes-base.function","codex":{"data":{"alias":["Code","Javascript","Custom Code","Script","cpde"],"details":"The Function node allows you to execute JavaScript in your workflow. 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