Gemini AI ビデオ分析

中級

これはDesign, AI, Marketing分野の自動化ワークフローで、10個のノードを含みます。主にSet, Wait, HttpRequest, ManualTriggerなどのノードを使用、AI技術を活用したスマート自動化を実現。 🎥 Gemini AI ビデオ分析

前提条件
  • ターゲットAPIの認証情報が必要な場合あり
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
  "id": "hKkZYhJqBNir8amQ",
  "meta": {
    "instanceId": "a943fc71a4dfb51cc3424882233bcd72e7a73857958af1cf464f7c21580c726e"
  },
  "name": "🎥 Gemini AI Video Analysis",
  "tags": [
    {
      "id": "bjzc8PEM2FgX8rUa",
      "name": "Marketing",
      "createdAt": "2025-04-18T13:34:48.192Z",
      "updatedAt": "2025-04-18T13:34:48.192Z"
    },
    {
      "id": "OiWw6VmsJz6ZBAzz",
      "name": "AI",
      "createdAt": "2025-04-25T09:59:58.961Z",
      "updatedAt": "2025-04-25T09:59:58.961Z"
    }
  ],
  "nodes": [
    {
      "id": "f5c9faf8-441a-49ef-a0de-0daa08c3bbfa",
      "name": "待機",
      "type": "n8n-nodes-base.wait",
      "position": [
        400,
        160
      ],
      "webhookId": "7d0cd0c0-ce85-4372-b7a5-b0be061fc2b9",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "c0336074-a30f-4fc0-aa57-7142cea1a3da",
      "name": "動画をダウンロード",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -40,
        160
      ],
      "parameters": {
        "url": "={{ $json.video_url }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "8b04c774-7a02-43ff-bac9-d19a427d514e",
      "name": "動画をアップロード Gemini",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        180,
        160
      ],
      "parameters": {
        "url": "=https://generativelanguage.googleapis.com/upload/v1beta/files?key={{ $vars.GeminiKey }}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "binaryData",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "X-Goog-Upload-Command",
              "value": "start, upload, finalize"
            },
            {
              "name": "X-Goog-Upload-Header-Content-Length",
              "value": "={{ $binary.data.fileSize }}"
            },
            {
              "name": "X-Goog-Upload-Header-Content-Type",
              "value": "=video/{{ $binary.data.fileExtension }}"
            },
            {
              "name": "Content-Type",
              "value": "video/mp4"
            }
          ]
        },
        "inputDataFieldName": "=data"
      },
      "typeVersion": 4.2
    },
    {
      "id": "eacf4317-18bc-441a-a415-488b65bb9545",
      "name": "動画を分析 Gemini",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        620,
        160
      ],
      "parameters": {
        "url": "=https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-exp:generateContent?key={{ $vars.GeminiKey }}",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n    \"contents\": [\n        {\n            \"role\": \"user\",\n            \"parts\": [\n                {\n                    \"fileData\": {\n                        \"fileUri\": \"{{ $json.file.uri }}\",\n                        \"mimeType\": \"{{ $json.file.mimeType }}\"\n                    }\n                },\n                {\n                    \"text\": \"Describe in detail what is visually happening in the video, including key elements, actions, colors, and branding. Note the style, tone, and any notable creative techniques being used.\"\n                }\n            ]\n        }\n    ],\n    \"generationConfig\": {\n        \"temperature\": 1.4,\n        \"topK\": 40,\n        \"topP\": 0.95,\n        \"maxOutputTokens\": 8192,\n        \"responseModalities\": [\"Text\"]\n    }\n}\n",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "ff204f3f-947e-4b6a-a9a3-822d6d57064b",
      "name": "「ワークフローをテスト」クリック時",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -480,
        160
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d842a85d-121d-46ed-9df7-44d2c7849c03",
      "name": "入力を設定",
      "type": "n8n-nodes-base.set",
      "position": [
        -260,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "6e1728e0-4749-47b9-92ae-4d1c0b7008c8",
              "name": "video_url",
              "type": "string",
              "value": "https://video-gru2-1.xx.fbcdn.net/v/t42.1790-2/469342405_958689216107669_4819692307529683812_n.mp4?_nc_cat=109&ccb=1-7&_nc_sid=c53f8f&_nc_ohc=DMM4-vR_LwoQ7kNvwGFIAOW&_nc_oc=AdkqAUzPHupjN-yAD8AGHbbnsMLQptad7NFTL-fuRa3Kq12boE6Ar_elagnzmgR87uU&_nc_zt=28&_nc_ht=video-gru2-1.xx&_nc_gid=ikICtUIUUCoHz775L2uRBw&oh=00_AfHlScWo8zXllEsqzl3wabxNva8z_qiFuA2g-hWzvnlVdg&oe=681596F3"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "efb6ed9b-5f65-4bf3-8ea9-00430abdb247",
      "name": "結果を取得",
      "type": "n8n-nodes-base.set",
      "position": [
        840,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "1ea390b9-3371-4a3a-8741-bd6ec74dc64b",
              "name": "videoDescription",
              "type": "string",
              "value": "={{ $json.candidates[0].content.parts[0].text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "fc917016-b2f3-4d69-8924-0aa16b4b43bc",
      "name": "付箋3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -920,
        -380
      ],
      "parameters": {
        "color": 7,
        "width": 560,
        "height": 520,
        "content": "## Video Analysis with Gemini AI\n\nThis workflow demonstrates how to analyze video content using Google's Gemini 2.0 Flash API:\n1. Download a video from a URL\n2. Upload it to Gemini's servers\n3. Process the video with AI to generate a detailed description\n4. Extract the analysis results\n\nUse cases: Content moderation, video cataloging, accessibility features, etc.\n\nOUTPUT: The workflow produces a detailed text description of the video content in the \"MediaDescription\" variable.\nYou can use this data for content tagging, searchable descriptions, accessibility, moderation, or cataloging.\n\n⚙️ **Before using this workflow**, make sure to set the `GeminiKey` environment variable with your Gemini API key.  \nThis ensures your API key is securely managed and not hardcoded in the workflow.\n\n__SECURITY NOTE__: This workflow contains an API key in the workflow data.  \nFor production use, store your API keys in Credentials or use environment variables (like `GeminiKey`) instead of hardcoding them.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "8854f039-f23f-4174-8821-7acfbc5ecfab",
      "name": "付箋4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -320,
        20
      ],
      "parameters": {
        "color": 5,
        "width": 220,
        "height": 300,
        "content": "## Configuration\nDefine the video URL you want to analyze.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "189ede99-f80f-4f41-8481-c9ba518fd0e7",
      "name": "付箋1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -70,
        -140
      ],
      "parameters": {
        "color": 4,
        "width": 820,
        "height": 460,
        "content": "## Video Processing Pipeline\n\nThis section handles the complete video processing workflow:\n\n1. DOWNLOAD: First, we fetch the video from the provided URL, converting it to binary data that Gemini can process\n\n2. UPLOAD: Next, we send the binary video data to Gemini's servers where it's stored temporarily for AI processing\n\n3. ANALYZE: Finally, we request Gemini's AI to analyze the video content. You can customize the prompt in the \"Analyze video Gemini\" node to focus on specific aspects of the video content you're interested in\n\nThe Wait node ensures the video is fully processed before analysis begins.\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {
    "Upload video Gemini": [
      {
        "json": {
          "file": {
            "uri": "https://generativelanguage.googleapis.com/v1beta/files/7whopq8rwtt8",
            "name": "files/7whopq8rwtt8",
            "state": "PROCESSING",
            "source": "UPLOADED",
            "mimeType": "video/mp4",
            "sizeBytes": "933141",
            "createTime": "2025-04-28T18:12:40.864881Z",
            "sha256Hash": "MWQwYmQ2YWViYmRiNDNjZTYyY2I2ODhkOWRlNzdlMzkyZDJkMTU0NTM5NTE1OWM2MTJlMWRiNTNhNTIyZDVmZA==",
            "updateTime": "2025-04-28T18:12:40.864881Z",
            "expirationTime": "2025-04-30T18:12:40.834671218Z"
          }
        }
      }
    ],
    "Analyze video Gemini": [
      {
        "json": {
          "candidates": [
            {
              "content": {
                "role": "model",
                "parts": [
                  {
                    "text": "Okay, here's a detailed description of the video:\n\n**Overview**\nThe video is a promotional piece for Advanced Sim Racing, featuring a high-end BMW-branded racing simulator setup at a BMW dealership event. It also highlights the presence of a well-known personality: Georges St-Pierre (GSP). The video mixes detailed close-ups of the equipment, shots of people interacting with the simulator, and branding elements.\n\n**Detailed Description:**\n\n*   **0:00-0:01:** Opens with a dynamic shot of someone using the advanced racing simulator. We see triple monitors displaying a race, and the participant grips the steering wheel with intent. The seat is black, with \"OMP\" branded at the top, \"ADVANCED Sim Racing\" and a large BMW logo prominently displayed on its back.\n\n*   **0:01-0:03:** Tight focus on the steering wheel, emphasizing its sophisticated design and multiple buttons.  We see the brand name \"OMP\" on the wheel itself, while the backboard is adorned with the company’s slogan, “ADVANCED Sim Racing”.\n\n*   **0:03-0:07:** We shift to show the simulator being used at a BMW dealership.  A group of people gathers around with the hood open of a BMW car, seemingly intrigued and looking at the person experiencing the simulator.\n\n*   **0:07-0:11:** George St-Pierre appears among the crowd.\n\n*   **0:11-0:13:** Close-up of the SimuCube motor\n\n*   **0:13-0:15:** George St-Pierre gets onto the simulator while people assist him.\n\n*   **0:15-0:21:** Focus on the haptic feedback engine and the back of an employee’s t-shirt that says “ADVANCED Sim Racing DBOX SIMUCUBE”\n\n*   **0:22-0:24:** Small lego replica of the BMW 3 series next to one of the monitor’s along with the car’s front side view with distinct headlights.\n\n*   **0:24-0:25:** The outside of the event, labeled BMW Laval with the BMW logo, ice cream booth nearby.\n\n*   **0:25-0:27:** More participants getting on the simulator\n\n*   **0:27-0:29:** The ranking for different drivers\n\n*   **0:29-0:33:** View of the racing pedals and the race seat with the “OMP” brand.\n\n**Key Elements & Equipment**\n*   **Sim Racing Rig:** A highly advanced racing simulator is central to the video.  It is equipped with a racing seat, steering wheel, pedals, multiple monitors and a SimuCube haptic engine for feedback\n*   **BMW Branding:** The presence of the BMW logo and the incorporation of BMW vehicles underscore the affiliation.\n\n**Style & Tone:**\n*   **High-Tech:**  The video conveys a sense of sophisticated technology and realistic immersion in simulated racing.\n*   **Promotional/Enthusiastic:**  The music and the editing suggest excitement and interest in the product.\n*   **Stylish:** Use of slow-motion shots, close-ups and selective focus adds a modern, visually appealing look.\n\nI hope this helps!"
                  }
                ]
              },
              "avgLogprobs": -1.1206862455033986,
              "finishReason": "STOP"
            }
          ],
          "modelVersion": "gemini-2.0-flash-exp",
          "usageMetadata": {
            "totalTokenCount": 10149,
            "promptTokenCount": 9441,
            "promptTokensDetails": [
              {
                "modality": "TEXT",
                "tokenCount": 36
              },
              {
                "modality": "AUDIO",
                "tokenCount": 825
              },
              {
                "modality": "VIDEO",
                "tokenCount": 8580
              }
            ],
            "candidatesTokenCount": 708,
            "candidatesTokensDetails": [
              {
                "modality": "TEXT",
                "tokenCount": 708
              }
            ]
          }
        }
      }
    ]
  },
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "5f8d8d62-091e-4883-bbb0-8087ebe7b501",
  "connections": {
    "f5c9faf8-441a-49ef-a0de-0daa08c3bbfa": {
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    },
    "d842a85d-121d-46ed-9df7-44d2c7849c03": {
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    "8b04c774-7a02-43ff-bac9-d19a427d514e": {
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    "eacf4317-18bc-441a-a415-488b65bb9545": {
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    "ff204f3f-947e-4b6a-a9a3-822d6d57064b": {
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  }
}
よくある質問

このワークフローの使い方は?

上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。

このワークフローはどんな場面に適していますか?

中級 - デザイン, 人工知能, マーケティング

有料ですか?

このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。

ワークフロー情報
難易度
中級
ノード数10
カテゴリー3
ノードタイプ5
難易度説明

経験者向け、6-15ノードの中程度の複雑さのワークフロー

作成者
SamirLiu

SamirLiu

@samir

Seasoned Data Engineer with over 8 years of experience in digital marketing analytics and workflow automation. Expert in leveraging tools like n8n, Python, and SQL to streamline data integration and optimize operational efficiency. Passionate about enhancing productivity through innovative automation strategies.

外部リンク
n8n.ioで表示

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カテゴリー

カテゴリー: 34