Automatisation n8n : traitement de notes avec OpenAI
- Ce workflow n8n est conçu pour automatiser le traitement de notes en utilisant les capacités d'OpenAI. Dans un contexte professionnel où la gestion des informations est cruciale, ce workflow permet de transformer des notes en différentes langues, de corriger la grammaire et de les condenser ou d'enrichir le contenu. Cela peut être particulièrement utile pour les équipes de rédaction, les traducteurs ou toute entreprise qui souhaite améliorer la qualité de ses communications écrites.
- Le processus commence par un déclencheur Webhook, qui reçoit les notes à traiter. Ensuite, un nœud Switch permet de diriger le flux selon les actions souhaitées, comme la traduction ou la correction grammaticale. Les nœuds OpenAI sont intégrés pour effectuer des tâches spécifiques : traduire le texte en espagnol ou en anglais, corriger la grammaire, ou encore raccourcir ou allonger le contenu. Chaque étape est soigneusement orchestrée pour garantir que les notes sont traitées de manière efficace et précise.
- Les bénéfices de cette automatisation n8n sont multiples : gain de temps, amélioration de la qualité des documents et réduction des erreurs humaines. En intégrant ce workflow, les entreprises peuvent s'assurer que leurs communications sont non seulement correctes, mais aussi adaptées à leur audience cible, tout en optimisant leurs ressources.
Workflow n8n OpenAI, gestion des notes : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n OpenAI, gestion des notes : détail des nœuds
Inscris-toi pour voir l'intégralité du workflow
Inscription gratuite
S'inscrire gratuitementBesoin d'aide ?{
"meta": {
"instanceId": "f4f5d195bb2162a0972f737368404b18be694648d365d6c6771d7b4909d28167"
},
"nodes": [
{
"id": "b165115d-5505-4e03-bf41-c21320cb8b09",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
40
],
"parameters": {
"color": 7,
"width": 681.8337349708484,
"height": 843.1482165886073,
"content": "## Workflow: Text automations using Apple Shortcuts\n\n**Overview**\n- This workflow answers user requests sent via Apple Shortcuts\n- Several Shortcuts call the same webhook, with a query and a type of query\n- Types of query are:\n - translate to english\n - translate to spanish\n - correct grammar (without changing the actual content)\n - make content shorter\n - make content longer\n\n\n**How it works**\n- Select a text you are writing\n- Launch the shortcut\n- The text is sent to the webhook\n- Depending on the type of request, a different prompt is used\n- Each request is sent to an OpenAI node\n- The workflow responds to the request with the response from GPT\n- Shortcut replace the selected text with the new one\n\n**How to use it**\n- Activate the workflow\n- Download [this Shortcut template](https://drive.usercontent.google.com/u/0/uc?id=16zs5iJX7KeX_4e0SoV49_KfbU7-EF0NE&export=download)\n- Install the shortcut\n- In step 2 of the shortcut, change the url of the Webhook\n- In Shortcut details, \"add Keyboard Shortcut\" with the key you want to use to launch the shortcut\n- Go to settings, advanced, check \"Allow running scripts\"\n- You are ready to use the shortcut. Select a text and hit the keyboard shortcut you just defined\n\n\n**Notes**\n- If you use rich formatting, you'll have to test multiple ways to replace characters in the output. For example, you might use `{{ $json.message.content.output.replaceAll('\\n', \"<br/>\") }}` in the \"Respond to Shortcut\" node depending on the app you use most.\n- This is a basic example that you can extend and modify at your will\n- You can duplicate and modify the example shortcut based on your need, as well as making new automations in this workflow."
},
"typeVersion": 1
},
{
"id": "c45400b8-d3b8-47f7-81c6-d791bce4c266",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
1020,
380
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "spanish",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.type }}",
"rightValue": "spanish"
}
]
},
"renameOutput": true
},
{
"outputKey": "english",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "bedb302f-646c-4dcd-8246-1fcfecfe3f2e",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.type }}",
"rightValue": "english"
}
]
},
"renameOutput": true
},
{
"outputKey": "grammar",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "94e6cf7d-576d-4ad9-85b0-c6b945eb41b7",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.type }}",
"rightValue": "grammar"
}
]
},
"renameOutput": true
},
{
"outputKey": "shorter",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1ed0d1e1-2df0-4f8d-b102-4004a25919ed",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.type }}",
"rightValue": "shorter"
}
]
},
"renameOutput": true
},
{
"outputKey": "longer",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4756df03-7e7c-4e28-9b37-14684326b083",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.type }}",
"rightValue": "longer"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "48e0e58e-6293-4e11-a488-ca9943b53484",
"name": "Respond to Shortcut",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1840,
400
],
"parameters": {
"options": {},
"respondWith": "text",
"responseBody": "={{ $json.message.content.output.replaceAll('\\n', '<br/>') }}"
},
"typeVersion": 1.1
},
{
"id": "2655b782-9538-416c-ae65-35f8c77889c7",
"name": "Webhook from Shortcut",
"type": "n8n-nodes-base.webhook",
"position": [
840,
400
],
"webhookId": "e4ddadd2-a127-4690-98ca-e9ee75c1bdd6",
"parameters": {
"path": "shortcut-global-as",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "880ed4a2-0756-4943-a51f-368678e22273",
"name": "OpenAI - Make Shorter",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1300,
540
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "Summarize this content a little bit (5% shorter)\nOutput a JSON with a single field: output"
},
{
"content": "={{ $json.body.content }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "WqzqjezKh8VtxdqA",
"name": "OpenAi account - Baptiste"
}
},
"typeVersion": 1.4
},
{
"id": "c6c6d988-7aab-4677-af1f-880d05691ec3",
"name": "OpenAI - Make Longer",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1300,
680
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "Make this content a little longer (5% longer)\nOutput a JSON with a single field: output"
},
{
"content": "={{ $json.body.content }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "WqzqjezKh8VtxdqA",
"name": "OpenAi account - Baptiste"
}
},
"typeVersion": 1.4
},
{
"id": "8e6de4b7-22c3-45c9-a8d7-d498cf829b6f",
"name": "OpenAI - Correct Grammar",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1300,
400
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "Correct grammar only, don't change the actual contents.\nOutput a JSON with a single field: output"
},
{
"content": "={{ $json.body.content }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "WqzqjezKh8VtxdqA",
"name": "OpenAi account - Baptiste"
}
},
"typeVersion": 1.4
},
{
"id": "bc006b36-5a96-4c3a-9a28-2778a6c49f10",
"name": "OpenAI - To Spanish",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1300,
120
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "Translate this message to Spanish.\nOutput a JSON with a single field: output"
},
{
"content": "={{ $json.body.content }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "WqzqjezKh8VtxdqA",
"name": "OpenAi account - Baptiste"
}
},
"typeVersion": 1.4
},
{
"id": "330d2e40-1e52-4517-94e0-ce96226697fa",
"name": "OpenAI - To English",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1300,
260
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "Translate this message to English.\nOutput a JSON with a single field: output"
},
{
"content": "={{ $json.body.content }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "WqzqjezKh8VtxdqA",
"name": "OpenAi account - Baptiste"
}
},
"typeVersion": 1.4
},
{
"id": "925e4b55-ac26-4c16-941f-66d17b6794ab",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
900
],
"parameters": {
"color": 7,
"width": 469.15174499329123,
"height": 341.88919758842485,
"content": "### Check these explanations [< 3 min]\n\n[](https://www.loom.com/share/c5b657568af64bb1b50fa8e8a91c45d1?sid=a406be73-55eb-4754-9f51-9ddf49b22d69)"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Switch": {
"main": [
[
{
"node": "OpenAI - To Spanish",
"type": "main",
"index": 0
}
],
[
{
"node": "OpenAI - To English",
"type": "main",
"index": 0
}
],
[
{
"node": "OpenAI - Correct Grammar",
"type": "main",
"index": 0
}
],
[
{
"node": "OpenAI - Make Shorter",
"type": "main",
"index": 0
}
],
[
{
"node": "OpenAI - Make Longer",
"type": "main",
"index": 0
}
]
]
},
"OpenAI - To English": {
"main": [
[
{
"node": "Respond to Shortcut",
"type": "main",
"index": 0
}
]
]
},
"OpenAI - To Spanish": {
"main": [
[
{
"node": "Respond to Shortcut",
"type": "main",
"index": 0
}
]
]
},
"OpenAI - Make Longer": {
"main": [
[
{
"node": "Respond to Shortcut",
"type": "main",
"index": 0
}
]
]
},
"OpenAI - Make Shorter": {
"main": [
[
{
"node": "Respond to Shortcut",
"type": "main",
"index": 0
}
]
]
},
"Webhook from Shortcut": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"OpenAI - Correct Grammar": {
"main": [
[
{
"node": "Respond to Shortcut",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n OpenAI, gestion des notes : pour qui est ce workflow ?
Ce workflow s'adresse aux équipes de rédaction, traducteurs et professionnels du marketing qui cherchent à automatiser le traitement de leurs notes. Il est adapté aux entreprises de taille moyenne à grande, avec un niveau technique intermédiaire requis pour sa mise en place.
Workflow n8n OpenAI, gestion des notes : problème résolu
Ce workflow résout le problème de la gestion manuelle des notes, qui peut être chronophage et sujet à des erreurs. En automatisant le traitement des notes, les utilisateurs éliminent les frustrations liées à la correction manuelle et à la traduction, tout en garantissant une communication écrite de haute qualité. Après mise en place, les utilisateurs bénéficient d'une efficacité accrue et d'une réduction significative du temps consacré à ces tâches.
Workflow n8n OpenAI, gestion des notes : étapes du workflow
Étape 1 : Le workflow est déclenché par un Webhook qui reçoit les notes à traiter.
- Étape 1 : Le nœud Switch dirige le flux vers les différentes actions possibles, comme la traduction ou la correction.
- Étape 2 : Les nœuds OpenAI effectuent les tâches demandées, que ce soit pour traduire le texte, corriger la grammaire, ou ajuster la longueur du contenu.
- Étape 3 : Les résultats sont ensuite renvoyés via le nœud de réponse au Webhook, complétant ainsi le processus.
Workflow n8n OpenAI, gestion des notes : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier l'URL du Webhook pour l'adapter à votre application. Les paramètres des nœuds OpenAI peuvent également être ajustés pour changer le modèle utilisé ou les options de traitement. Si vous souhaitez intégrer d'autres outils, vous pouvez ajouter des nœuds supplémentaires pour enrichir le flux. Pensez à sécuriser le Webhook en ajoutant des authentifications nécessaires pour protéger vos données.