会議メモジェネレーター
中級
これはAI Summarization, Multimodal AI分野の自動化ワークフローで、8個のノードを含みます。主にCode, Slack, GoogleDrive, OpenAi, GoogleDriveTriggerなどのノードを使用。 GPT を使って会議録要を自動生成し、Google Drive から Slack へ共有
前提条件
- •Slack Bot Token または Webhook URL
- •Google Drive API認証情報
- •OpenAI API Key
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
{
"meta": {
"instanceId": "c8a161ccc9e6113553701825d60b54fb91bb0fc28cec75dbb04ffae3dcfe1522"
},
"name": "minutes_generator",
"tags": [],
"nodes": [
{
"id": "af25423f-a461-4b1d-9614-c91438b3196f",
"name": "Google Drive Trigger",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
-704,
144
],
"parameters": {
"event": "fileCreated",
"options": {},
"pollTimes": {
"item": [
{}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "id",
"value": "__GOOGLE_DRIVE_FOLDER_ID__"
}
},
"typeVersion": 1
},
{
"id": "6049c9c7-3d0b-4eda-b309-98727bc8af8a",
"name": "ファイルをダウンロード",
"type": "n8n-nodes-base.googleDrive",
"position": [
-496,
144
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{$json.id || $json.fileId}}"
},
"options": {},
"operation": "download"
},
"typeVersion": 3
},
{
"id": "43d793f5-7bf8-441a-ab4e-afe05f35a9cc",
"name": "モデルにメッセージ",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-80,
144
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-5",
"cachedResultName": "GPT-5"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "# Goal\nSummarize the meeting transcript concisely and in a structured way. Include all key discussion points, decisions, and follow-up tasks without omission.\n\n# Steps\n1. Review the provided meeting transcript text.\n2. Summarize into 3–7 key topics of discussion.\n3. Separate confirmed decisions from pending/undecided items.\n4. List follow-up tasks (Task | Owner | Deadline | Notes) in a table if mentioned.\n5. Mark unclear or missing information as N/A.\n6. Verify the final summary with a checklist to ensure no omissions.\n\n# Output format\n- Structure:\n 1. Meeting overview (date, participants, purpose – only if available)\n 2. Key discussion points (list format)\n 3. Decisions (list format)\n 4. Pending items (list format)\n 5. Follow-up tasks (table: Task | Owner | Deadline | Notes)\n- Use Markdown\n- Use N/A where information is missing\n\n# Notes\n- If there are uncertainties, ask up to 3 clarification questions before proceeding.\n- Base the summary strictly on the original text. Do not guess or invent.\n- Self-check before submission:\n • Are all key discussions, decisions, and tasks included? \n • Are N/A markers used for missing info? \n • Is the Markdown structure followed?"
},
{
"content": "={{$json.transcript}}\n"
}
]
}
},
"credentials": {
"openAiApi": {
"id": "1Lp07lb1bLg8lVeX",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "97a34395-14af-42f6-9103-0f993bc89e08",
"name": "議事録を準備",
"type": "n8n-nodes-base.code",
"position": [
-288,
144
],
"parameters": {
"jsCode": "const out = [];\nfor (const it of $input.all()) {\n const b64 = it.binary?.data?.data; // from Drive Download\n if (!b64) throw new Error('No binary \"data\". Use Download for txt/md');\n const text = Buffer.from(b64, 'base64').toString('utf8');\n const title = it.json?.name || it.json?.fileName || '회의록';\n\n out.push({\n json: { title, transcript: text },\n binary: it.binary // keep original file for Slack upload\n });\n}\nreturn out;\n"
},
"typeVersion": 2
},
{
"id": "f96a5216-a8f8-4e73-8ca2-b772f5918a4a",
"name": "Make Minutes",
"type": "n8n-nodes-base.code",
"position": [
272,
144
],
"parameters": {
"jsCode": "const it = $input.first();\n\n// Pick the model output from any of the shapes n8n returns\nconst md =\n it.json?.message?.content ?? // Message a model (simplified)\n it.json?.output_text ?? // some builds expose this\n it.json?.data?.choices?.[0]?.message?.content ??// raw OpenAI response\n it.json?.choices?.[0]?.message?.content ?? // another raw variant\n '';\n\nconst title = it.json?.title || '회의록';\nconst filename = `${title}.md`;\nconst data = Buffer.from(md, 'utf8').toString('base64');\n\nreturn [{\n json: { filename, title },\n binary: { minutes: { data, fileName: filename, mimeType: 'text/markdown' } }\n}];"
},
"typeVersion": 2
},
{
"id": "f96c7ca7-48ea-4fdd-92b8-29f15a22eff6",
"name": "メッセージを送信",
"type": "n8n-nodes-base.slack",
"position": [
480,
144
],
"webhookId": "__WEBHOOK_INTERNAL_ID__",
"parameters": {
"text": "={{\"*Auto-generated minutes:* \" + ($json.title || $json.name || \"Minutes\")}}",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "id",
"value": "___SLACK_CHANNEL_ID___"
},
"otherOptions": {}
},
"typeVersion": 2.3
},
{
"id": "6b557b78-cc8c-4b86-ad48-d662fc1accbd",
"name": "ファイルをアップロード",
"type": "n8n-nodes-base.slack",
"position": [
480,
288
],
"webhookId": "__WEBHOOK_INTERNAL_ID__",
"parameters": {
"options": {
"fileName": "={{$json.filename}}",
"channelId": "___SLACK_CHANNEL_ID___"
},
"resource": "file",
"binaryPropertyName": "minutes"
},
"typeVersion": 2.3
},
{
"id": "e3f63e52-eba0-4b81-8fbf-ba835410c392",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-736,
-192
],
"parameters": {
"width": 736,
"height": 288,
"content": "## Minutes generator (overview)\n**What it does**: Watches a Drive folder, downloads new transcript, summarizes via GPT, posts message + uploads Markdown minutes to Slack.\n\n**Setup**\n1. Google Drive: set folder ID in *Google Drive Trigger*.\n2. OpenAI: add credentials and pick a model in *Message a model*.\n3. Slack: connect account, set channel ID in both Slack nodes.\n\n**Notes**\n- Files must be text (.txt/.md) unless you add a converter.\n- Bot must be in the Slack channel to avoid `not_in_channel`."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "",
"connections": {
"f96a5216-a8f8-4e73-8ca2-b772f5918a4a": {
"main": [
[
{
"node": "f96c7ca7-48ea-4fdd-92b8-29f15a22eff6",
"type": "main",
"index": 0
},
{
"node": "6b557b78-cc8c-4b86-ad48-d662fc1accbd",
"type": "main",
"index": 0
}
]
]
},
"6049c9c7-3d0b-4eda-b309-98727bc8af8a": {
"main": [
[
{
"node": "97a34395-14af-42f6-9103-0f993bc89e08",
"type": "main",
"index": 0
}
]
]
},
"43d793f5-7bf8-441a-ab4e-afe05f35a9cc": {
"main": [
[
{
"node": "f96a5216-a8f8-4e73-8ca2-b772f5918a4a",
"type": "main",
"index": 0
}
]
]
},
"97a34395-14af-42f6-9103-0f993bc89e08": {
"main": [
[
{
"node": "43d793f5-7bf8-441a-ab4e-afe05f35a9cc",
"type": "main",
"index": 0
}
]
]
},
"af25423f-a461-4b1d-9614-c91438b3196f": {
"main": [
[
{
"node": "6049c9c7-3d0b-4eda-b309-98727bc8af8a",
"type": "main",
"index": 0
}
]
]
}
}
}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 - AI要約, マルチモーダルAI
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。
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