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Optimiseur de CV avec l'IA

Avancé

Ceci est unAI Summarization, Multimodal AIworkflow d'automatisation du domainecontenant 18 nœuds.Utilise principalement des nœuds comme Set, Code, Gmail, Merge, Webhook. Faire correspondre les CV aux descriptions d'emplois avec Gemini AI, analyse et rapports par e-mail

Prérequis
  • •Compte Google et informations d'identification Gmail API
  • •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
  • •Peut nécessiter les informations d'identification d'authentification de l'API cible
  • •Clé API Google Gemini

Nœuds utilisés (18)

Set
Code
Gmail
Merge
Webhook
StickyNote
HttpRequest
Agent
ExtractFromFile
RespondToWebhook
LmChatGoogleGemini
OutputParserStructured

Catégorie

Résumé IA
IA Multimodale
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
React Flow
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "id": "TzPKUZdrlcTUenHQ",
  "meta": {
    "instanceId": "d1dc073e8e3059a23e2730f69cb1b90065a2ac39039fea0727fdf9bee77a9131",
    "templateCredsSetupCompleted": true
  },
  "name": "AI CV Optimizer",
  "tags": [],
  "nodes": [
    {
      "id": "08a1bb78-33db-4698-9970-c5b38c25835c",
      "name": "Webhook - Formulaire d'Optimisation de CV",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -224,
        272
      ],
      "webhookId": "d50feff6-c48f-41e8-8df2-62ee9864907c",
      "parameters": {
        "path": "cv-optimizer",
        "options": {},
        "responseMode": "responseNode",
        "multipleMethods": true
      },
      "typeVersion": 2.1
    },
    {
      "id": "310ffa59-1f26-4ddd-881d-c5819b89d7f1",
      "name": "Webhook Response - Formulaire HTML",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        0,
        176
      ],
      "parameters": {
        "options": {},
        "respondWith": "text",
        "responseBody": "=<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n  <meta charset=\"UTF-8\" />\n  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n  <title>AI CV Optimizer</title>\n  <style>\n    :root {\n      --primary: #2563eb;\n      --primary-hover: #1e4ed8;\n      --gray-light: #f9fafb;\n      --gray: #ccc;\n      --text-dark: #333;\n      --radius: 10px;\n    }\n    body {\n      font-family: Arial, sans-serif;\n      background: var(--gray-light);\n      margin: 0;\n      padding: 0;\n      display: flex;\n      justify-content: center;\n      align-items: center;\n      min-height: 100vh;\n    }\n    .container {\n      background: white;\n      padding: 2rem;\n      border-radius: var(--radius);\n      box-shadow: 0 6px 16px rgba(0,0,0,0.1);\n      max-width: 420px;\n      width: 100%;\n    }\n    h2 {\n      margin-bottom: 1.5rem;\n      color: var(--text-dark);\n      font-size: 1.5rem;\n      text-align: center;\n    }\n    label {\n      font-weight: 600;\n      display: block;\n      margin: 1rem 0 0.5rem;\n    }\n    input[type=\"file\"], input[type=\"text\"], input[type=\"email\"] {\n      width: 100%;\n      padding: 0.75rem;\n      border: 1px solid var(--gray);\n      border-radius: var(--radius);\n      font-size: 0.95rem;\n      box-sizing: border-box;\n    }\n    input:focus {\n      border-color: var(--primary);\n      outline: none;\n      box-shadow: 0 0 0 3px rgba(37,99,235,0.15);\n    }\n    button {\n      margin-top: 1.5rem;\n      padding: 0.9rem;\n      background: var(--primary);\n      color: white;\n      border: none;\n      border-radius: var(--radius);\n      width: 100%;\n      font-size: 1rem;\n      font-weight: 600;\n      cursor: pointer;\n      transition: background 0.2s ease;\n    }\n    button:hover {\n      background: var(--primary-hover);\n    }\n    button:disabled {\n      background: #9ca3af;\n      cursor: not-allowed;\n    }\n    .status {\n      margin-top: 1rem;\n      font-size: 0.9rem;\n      text-align: center;\n    }\n    .status.success { color: green; }\n    .status.error { color: red; }\n  </style>\n</head>\n<body>\n  <div class=\"container\">\n    <h2>AI CV Optimizer</h2>\n    <form id=\"cvForm\">\n      <label for=\"cv\">Upload your CV (PDF):</label>\n      <input type=\"file\" id=\"cv\" name=\"cv\" accept=\"application/pdf\" required />\n\n      <label for=\"job_url\">Job Posting URL:</label>\n      <input type=\"text\" id=\"job_url\" name=\"job_url\" placeholder=\"https://linkedin.com/job/123\" required />\n\n      <label for=\"email\">Your Email:</label>\n      <input type=\"email\" id=\"email\" name=\"email\" placeholder=\"you@example.com\" required/>\n\n      <button type=\"submit\">Check My CV</button>\n      <div class=\"status\" id=\"status\"></div>\n    </form>\n  </div>\n\n  <script>\n    const form = document.getElementById(\"cvForm\");\n    const statusDiv = document.getElementById(\"status\");\n\n    form.addEventListener(\"submit\", async (e) => {\n      e.preventDefault();\n\n      const formData = new FormData(form);\n      statusDiv.textContent = \"⏳ Uploading and analyzing your CV...\";\n      statusDiv.className = \"status\";\n\n      try {\n        const res = await fetch(\"https://n8nworkflow.eu/webhook-test/cv-optimizer\", {\n          method: \"POST\",\n          body: formData\n        });\n\n        if (!res.ok) {\n          throw new Error(\"Server error: \" + res.statusText);\n        }\n\n        const data = await res.json();\n        console.log(\"n8n response:\", data);\n        statusDiv.textContent = \"✅ CV submitted successfully! Check your email for results.\";\n        statusDiv.className = \"status success\";\n      } catch (err) {\n        console.error(err);\n        statusDiv.textContent = \"❌ Error: \" + err.message;\n        statusDiv.className = \"status error\";\n      }\n    });\n  </script>\n</body>\n</html>"
      },
      "typeVersion": 1.4
    },
    {
      "id": "5f221527-5476-49cb-a166-eb3213f5d4a6",
      "name": "Extraire le Texte du CV (PDF)",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        0,
        384
      ],
      "parameters": {
        "options": {},
        "operation": "pdf",
        "binaryPropertyName": "=cv"
      },
      "typeVersion": 1
    },
    {
      "id": "75eb814c-8d04-4310-bc01-3fcaf1640634",
      "name": "Préparer le Texte du CV",
      "type": "n8n-nodes-base.set",
      "position": [
        224,
        384
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "be5e5936-7940-43be-b905-62b54d9db076",
              "name": "cv_text",
              "type": "string",
              "value": "={{ $json.text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "da50a5a9-a727-45f9-b07c-e75844f89d45",
      "name": "Récupérer l'Offre d'Emploi",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        448,
        304
      ],
      "parameters": {
        "url": "={{ $(' Webhook - CV Optimizer Form').item.json.body.job_url }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "405c1c1d-afa1-4b9e-a595-a7eef3772303",
      "name": "Fusionner Données CV + Offre",
      "type": "n8n-nodes-base.merge",
      "position": [
        896,
        368
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3.2
    },
    {
      "id": "f7e1ebf8-5e4e-48b8-a384-d88f53d771bb",
      "name": "Gemini Model - Primaire",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1120,
        592
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "qQGrvqnSPqWFH6I6",
          "name": "Google Gemini(PaLM) Api account 5"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "cf43c082-b2ae-42e0-8d3d-83db4a4d9f9d",
      "name": "Analyser la Sortie AI JSON",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1248,
        592
      ],
      "parameters": {
        "autoFix": true,
        "jsonSchemaExample": "{\n  \"job_title\": \"Frontend Developer (React)\",\n  \"location\": \"Helsinki, Finland\",\n  \"fit_summary\": \"The candidate has solid React, TypeScript, and JavaScript experience, supported by practical work on full-stack applications. They also demonstrate CI/CD knowledge and testing skills (Cypress, Jest), which align well with the role. However, the CV does not explicitly highlight advanced CSS frameworks or accessibility practices that are emphasized in the job description.\",\n  \"recommendation\": \"Consider\",\n  \"fit_score\": 7,\n  \"missing_critical\": [\n    \"Advanced CSS framework experience (e.g., Tailwind, Material UI)\",\n    \"Accessibility (WCAG) best practices\"\n  ],\n  \"cv_optimization\": \"Add a section highlighting hands-on experience with CSS frameworks (Tailwind, Material UI) and accessibility best practices (WCAG). Include concrete project examples that demonstrate user-focused design and frontend performance improvements.\",\n  \"final_recommendation\": \" The candidate is a good potential match but should strengthen their CV by explicitly mentioning CSS framework expertise and accessibility knowledge to move from 'Consider' to a stronger 'Apply'.\"\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "51bd8f61-dea2-4763-beb3-d0171ca55660",
      "name": "Gemini Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1328,
        800
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "qQGrvqnSPqWFH6I6",
          "name": "Google Gemini(PaLM) Api account 5"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a0bbfaab-6717-4a88-9766-97d70dec3f03",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -224,
        -304
      ],
      "parameters": {
        "width": 512,
        "height": 272,
        "content": "## AI CV Optimizer: Match Your CV to Job Descriptions with AI\n\nThis workflow uses AI to automatically analyze a candidate’s CV against any job posting. It extracts key skills, requirements, and gaps, then generates a clear fit summary, recommendations, and optimization tips. Candidates also receive a structured email report, helping them improve their CV and focus on the right roles.\n\nNo more guesswork, the workflow delivers objective. \n### AI-powered career insights in minutes."
      },
      "typeVersion": 1
    },
    {
      "id": "91fb8dbc-2126-47dc-a4ae-a42d8b9c4397",
      "name": "Note adhésive1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1152,
        192
      ],
      "parameters": {
        "color": 6,
        "width": 224,
        "content": "### AI - Compare CV with Job\n\nYou can adjust the AI Agent prompt for output schema, scoring, or language.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "0343291b-6da2-4155-9a52-164f4c4ab1d1",
      "name": "Note adhésive2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1088,
        736
      ],
      "parameters": {
        "color": 5,
        "width": 208,
        "height": 112,
        "content": "###  Gemini / AI \nCredentials:  \nUse **Google Gemini/PaLM** credential."
      },
      "typeVersion": 1
    },
    {
      "id": "14e53603-87f5-4d4e-92ef-216eb5917964",
      "name": "Note adhésive5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1584,
        528
      ],
      "parameters": {
        "color": 5,
        "width": 192,
        "height": 96,
        "content": "### Send report \nSend Email\nCredentials: Use **Gmail OAuth2** credential. (required)."
      },
      "typeVersion": 1
    },
    {
      "id": "c05f35ba-eeb9-4752-80ef-23eefbcca0f2",
      "name": "Envoyer le rapport",
      "type": "n8n-nodes-base.gmail",
      "position": [
        1616,
        368
      ],
      "webhookId": "ce5d269e-ee40-4c92-9479-e5af8baec199",
      "parameters": {
        "sendTo": "={{ $(' Webhook - CV Optimizer Form').item.json.body.email }}",
        "message": "=<p>Hi,</p>\n\n<p>We’ve analyzed your CV against the job posting for <b>{{ $json.output.job_title }}</b> in <b>{{ $json.output.location }}</b>.</p>\n\n<p><b>Summary:</b><br>\n{{ $json.output.fit_summary }}</p>\n\n<p><b>Critical gaps identified:</b></p>\n<ul>\n  {{ $json.output.missing_critical.map(gap => `<li>${gap}</li>`).join(\"\") }}\n</ul>\n\n<p><b>FinalFit Score:</b> {{ $json.output.fit_score }} / 10 <b> Recommendation: <b/> {{ $json.output.recommendation }}</p>\n<p>\n<b>Tips for improving CV: </b>{{ $json.output.cv_optimization }}\n</p>\n<p><b>AI Advice:</b><br>\n{{ $json.output.final_recommendation }}\n</p>\n\n<p>Best of luck with your applications,<br>AI CV Optimizer</p>",
        "options": {},
        "subject": "=Your CV Review: {{ $json.output.job_title }} in {{ $json.output.location }}"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "jkKHvU2Pb9X5WJk5",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "8918b88f-f90d-4e68-b28b-84dd68ad854a",
      "name": "Note adhésive11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -16,
        16
      ],
      "parameters": {
        "color": 5,
        "width": 160,
        "height": 144,
        "content": "### Submission form\n**POST (required)**\n- `Upload CV`\n- `Job Link` \n- `email` "
      },
      "typeVersion": 1
    },
    {
      "id": "03491b28-4df7-4be4-88b1-4128e92fe9b7",
      "name": "Analyseur de CV par IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1152,
        368
      ],
      "parameters": {
        "text": "=CV:\n{{ $json[\"cv_text\"] ? $json[\"cv_text\"].slice(0, 18000) : \"\" }}\n\nJOB:\n{{ $json[\"job_text\"] ? $json[\"job_text\"].slice(0, 18000) : \"\" }}\n\nTasks:\n1) Extract the \"job_title\" and \"location\".  \n2) Identify \"matched_skills\" and \"missing_critical\" skills.  \n3) Write a short \"advice\" paragraph (max 100 words).  \n4) Write a friendly \"email_body\" addressed to the candidate, summarizing:\n   - Job title & location  \n   - What they already match well  \n   - Areas to improve or learn for better fit  \n   - A motivating closing sentence \n5)5) Write a short final_recommendation paragraph.\n\n6) Provide **two recommendations**:  \n   - \"recommendation\": Apply / Consider / Not a fit (must align with fit_score)  \n   - \"cv_optimization\": Clear advice on how to improve the CV for similar roles.  \n6) The \"fit_score\" must always align with \"recommendation\":  \n   - Apply → fit_score between 9 and 10  \n   - Consider → fit_score between 7 and 8  \n   - Not a fit → fit_score between 1 and 6  \n\n⚠️ IMPORTANT: Return ONLY valid JSON in this schema:\n{\n  \"job_title\": \"string\",\n  \"location\": \"string\",\n  \"fit_score\": 0,\n  \"recommendation\": \"Apply|Consider|Not a fit\",\n\"final_recommendation\": [\"string\"],\n  \"matched_skills\": [\"string\"],\n  \"missing_critical\": [\"string\"],\n  \"advice\": \"string\",\n  \"cv_optimization\": \"string\",\n  \"email_body\": \"string\"\n}",
        "options": {
          "systemMessage": "You are a professional career assistant.  \nYour task is to compare a candidate’s CV with a job description and return a structured JSON output.  \n\n⚠️ RULES:  \n- Follow the schema exactly.  \n- Every field must be included.  \n- All values must be plain text, arrays, or integers — never nested objects.  \n- `fit_score` must be an integer (1–10) aligned with `recommendation`:  \n   - \"Apply\" → 9–10  \n   - \"Consider\" → 7–8  \n   - \"Not a fit\" → 1–6  \n- Do not add responsibilities, requirements, or benefits.  \n- Do not include any text outside the JSON.  \n\nSchema:\n{\n  \"job_title\": \"string\",\n  \"location\": \"string\",\n  \"fit_score\": 0,\n  \"recommendation\": \"Apply|Consider|Not a fit\",\n  \"matched_skills\": [\"string\"],\n  \"missing_critical\": [\"string\"],\n  \"advice\": \"string\",\n  \"cv_optimization\": \"string\",\n  \"email_body\": \"string\",\n\"final_recommendation\": : \"string\",\n\n}"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "798f0b85-bd22-4ad8-a9c3-a3535d955069",
      "name": "Nettoyeur de Texte d'Offre",
      "type": "n8n-nodes-base.code",
      "position": [
        672,
        304
      ],
      "parameters": {
        "jsCode": "const raw = $json.data || \"\";\nconst text = raw\n  .replace(/<script[\\s\\S]*?<\\/script>/gi, \"\")\n  .replace(/<style[\\s\\S]*?<\\/style>/gi, \"\")\n  .replace(/<\\/?[^>]+(>|$)/g, \" \")\n  .replace(/\\s+/g, \" \")\n  .trim();\nreturn [{ job_text: text }];"
      },
      "typeVersion": 2
    },
    {
      "id": "eef4754b-adb0-4859-93df-cfc361f8175c",
      "name": "Note adhésive3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        384,
        -304
      ],
      "parameters": {
        "color": 2,
        "width": 304,
        "height": 144,
        "content": "## Customization checklist\n✅ Update Webhook URL\n✅ Configure Google Gemini credentials\n✅ Set Gmail OAuth2 credentials\n✅ Adjust AI prompt if schema changes"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "039ce290-aa42-4e4a-a346-65841445a6a6",
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Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Résumé IA, IA Multimodale

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

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Code
34 NœudsGerald Denor
Productivité personnelle
Évaluateur de transcription
Analyse et visualisation de conversations audio avec DeepGram et GPT-4o
Set
Code
Html
+
Set
Code
Html
54 NœudsRealSimple Solutions
Intelligence Artificielle
Envoi automatique de factures aux clients
Automatisation du traitement des factures avec OCR.Space, GPT-4 et Google Drive vers Gmail
If
Set
Code
+
If
Set
Code
29 NœudsMichael Taleb
Résumé IA
Comparaison des profils LinkedIn avec les descriptions de postes via Groq AI et GhostGenius
Comparer l'adéquation entre un profil LinkedIn et une offre d'emploi avec Groq AI et GhostGenius
If
Set
Code
+
If
Set
Code
17 NœudsStephan Koning
Divers
Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds18
Catégorie2
Types de nœuds12
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Auteur
Mychel Garzon

Mychel Garzon

@mychel-garzon
Liens externes
Voir sur n8n.io →

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Catégories

IA Multimodale
1540
Intelligence Artificielle
1108
Création de contenu
695
Résumé IA
516
Marketing
419
Chatbot IA
251
Ingénierie
241
Étude de marché
203
Divers
193
Autres
176
Ventes
162
Opérations IT
156
Extraction de documents
147
RAG IA
146
Blocs de construction
144
Réseaux sociaux
137
Génération de leads
125
Productivité personnelle
117
DevOps
111
Ressources Humaines
101
Support
97
Nurturing de leads
87
CRM
82
Finance
81
Produit
77
Chatbot de support
76
Design
70
Gestion des tickets
67
Opérations de sécurité
57
Traitement des factures
53
Trading crypto
49
Gestion de fichiers
39
Gestion de projet
35
Wiki interne
32

Catégories: 34