Public Form Auto Triage
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
Ce workflow innovant permet de transformer un texte en français en fichier audio, de le transcrire, puis de traduire et générer un fichier audio en anglais. Il utilise les puissantes API d'ElevenLabs et OpenAI pour offrir une solution complète de traduction et synthèse vocale automatisée. Idéal pour les entreprises cherchant à internationaliser leur contenu rapidement, ce workflow garantit une efficacité accrue et une réduction significative du temps consacré aux tâches manuelles. En optimisant les processus de traduction et de génération audio, il offre un avantage compétitif majeur.
Ce workflow innovant permet de transformer un texte en français en fichier audio, de le transcrire, puis de traduire et générer un fichier audio en anglais. Il utilise les puissantes API d'ElevenLabs et OpenAI pour offrir une solution complète de traduction et synthèse vocale automatisée. Idéal pour les entreprises cherchant à internationaliser leur contenu rapidement, ce workflow garantit une efficacité accrue et une réduction significative du temps consacré aux tâches manuelles. En optimisant les processus de traduction et de génération audio, il offre un avantage compétitif majeur.
| Node | Type | Description |
|---|---|---|
| When clicking "Execute Workflow" | manualTrigger | Traitement des données |
| Sticky Note2 | stickyNote | Traitement des données |
| Sticky Note3 | stickyNote | Traitement des données |
| Sticky Note4 | stickyNote | Traitement des données |
| Sticky Note | stickyNote | Traitement des données |
| Sticky Note1 | stickyNote | Traitement des données |
| Transcribe audio | httpRequest | Requête HTTP vers une API externe |
| OpenAI Chat Model1 | @n8n/n8n-nodes-langchain.lmChatOpenAi | Traitement des données |
| Set ElevenLabs voice ID and text | set | Traitement des données |
| Generate French Audio | httpRequest | Requête HTTP vers une API externe |
| Translate Text to English | @n8n/n8n-nodes-langchain.chainLlm | Traitement des données |
| Translate English text to speech | httpRequest | Requête HTTP vers une API externe |
| Add Filename | code | Traitement des données |
{
"meta": {
"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "f2ec712a-5120-44d8-9581-285d8b866322",
"name": "When clicking \"Execute Workflow\"",
"type": "n8n-nodes-base.manualTrigger",
"position": [
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],
"parameters": [],
"typeVersion": 1
},
{
"id": "b16a56a5-0b0c-43cc-952c-f6db1b63d1e9",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
60
],
"parameters": {
"color": 7,
"width": 199.37543798209555,
"height": 420.623805972039,
"content": "1] In ElevenLabs, add a voice to your [voice lab](https:\/\/elevenlabs.io\/voice-lab) and copy its ID. Open this node and add the ID there"
},
"typeVersion": 1
},
{
"id": "08e26051-58e9-42c5-b198-7854ab3e58d6",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
240,
60
],
"parameters": {
"color": 7,
"width": 212,
"height": 418,
"content": "2] Get your ElevenLabs API key (click your name in the bottom-left of [ElevenLabs](https:\/\/elevenlabs.io\/voice-lab) and choose ‘profile’)\n\nIn this node, create a new header auth cred. Set the name to `xi-api-key` and the value to your API key"
},
"typeVersion": 1
},
{
"id": "de6eb950-862e-472b-8776-b45e3109561a",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
60
],
"parameters": {
"color": 7,
"width": 392,
"height": 415,
"content": "3] In the 'credential' field of this node, create a new OpenAI cred with your [OpenAI API key](https:\/\/platform.openai.com\/api-keys)"
},
"typeVersion": 1
},
{
"id": "e1d8158a-ad82-4b65-a2a8-a8f86cafd970",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-280,
20
],
"parameters": {
"color": 7,
"width": 230.39134868652621,
"height": 233.3354221029769,
"content": "### About\nThis workflow takes some French text, and translates it into spoken audio.\n\nIt then transcribes that audio back into text, translates it into English and generates an audio file of the English text"
},
"typeVersion": 1
},
{
"id": "9614bb02-3b9c-4c5d-b596-8f94704cdb8b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 7,
"width": 906,
"height": 498,
"content": "### Setup steps"
},
"typeVersion": 1
},
{
"id": "69ebcaf8-58ab-48ba-967a-a1f0497524bb",
"name": "Transcribe audio",
"type": "n8n-nodes-base.httpRequest",
"position": [
720,
320
],
"parameters": {
"url": "https:\/\/api.openai.com\/v1\/audio\/transcriptions",
"method": "POST",
"options": {
"lowercaseHeaders": false
},
"sendBody": true,
"contentType": "multipart-form-data",
"sendHeaders": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "file",
"parameterType": "formBinaryData",
"inputDataFieldName": "data"
},
{
"name": "model",
"value": "whisper-1"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "multipart\/form-data"
}
]
},
"nodeCredentialType": "openAiApi"
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 4.2
},
{
"id": "4109bccb-2bfd-454b-accb-074bd6980897",
"name": "OpenAI Chat Model1",
"type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
"position": [
940,
500
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": []
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "5178a17e-737c-4ad1-8f56-95707430e892",
"name": "Set ElevenLabs voice ID and text",
"type": "n8n-nodes-base.set",
"position": [
60,
320
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "c0f610ff-e200-4e55-a140-e8a4d6fa0eed",
"name": "voice_id",
"type": "string",
"value": "Xb7hH8MSUJpSbSDYk0k2"
},
{
"id": "6755d8ae-e3df-465c-97ef-4f0187c31824",
"name": "text",
"type": "string",
"value": "=Après, on a fait la sieste, Camille a travaillé pour French Today et j’ai étudié un peu, et puis Camille a proposé de suivre une visite guidée de l’Abbaye de Beauport qui commençait à 17 heures. On a marché environ vingt minutes, et je m’arrêtais souvent pour prendre des photos : la baie de Paimpol est si jolie ! Mais Camille m’a dit : « Dépêche-toi Sunny ! La visite guidée commence dans cinq minutes. » Donc, j’ai bougé mes fesses et on est arrivées à l’abbaye"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "7aafe155-28da-43f4-8305-2dc834f0d95a",
"name": "Generate French Audio",
"type": "n8n-nodes-base.httpRequest",
"position": [
300,
320
],
"parameters": {
"url": "=https:\/\/api.elevenlabs.io\/v1\/text-to-speech\/{{ $json.voice_id }}",
"method": "POST",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
},
"jsonBody": "={\"text\":\"{{ $json.text }}\",\"model_id\":\"eleven_multilingual_v2\",\"voice_settings\":{\"stability\":0.5,\"similarity_boost\":0.5}}",
"sendBody": true,
"sendQuery": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "optimize_streaming_latency",
"value": "1"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "audio\/mpeg"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "wXsJ55OgKMW01nWm",
"name": "ElevenLabs API Key"
}
},
"typeVersion": 4.2
},
{
"id": "a8e75db9-4164-4332-bec3-01f91f40127f",
"name": "Translate Text to English",
"type": "@n8n\/n8n-nodes-langchain.chainLlm",
"position": [
960,
320
],
"parameters": {
"text": "=Translate to English:\n{{ $json.text }}",
"promptType": "define"
},
"typeVersion": 1.5
},
{
"id": "57ea8bc0-a372-41f8-9b7c-6aef0350d9eb",
"name": "Translate English text to speech",
"type": "n8n-nodes-base.httpRequest",
"position": [
1320,
320
],
"parameters": {
"url": "=https:\/\/api.elevenlabs.io\/v1\/text-to-speech\/{{ $('Set ElevenLabs voice ID and text').first().json.voice_id }}",
"method": "POST",
"options": [],
"jsonBody": "={\"text\":\"{{ $json[\"text\"].replaceAll('\"', '\\\\\"').trim() }}\",\"model_id\":\"eleven_multilingual_v2\",\"voice_settings\":{\"stability\":0.5,\"similarity_boost\":0.5}}",
"sendBody": true,
"sendQuery": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "optimize_streaming_latency",
"value": "1"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "audio\/mpeg"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "wXsJ55OgKMW01nWm",
"name": "ElevenLabs API Key"
}
},
"typeVersion": 4.2
},
{
"id": "d6bb0022-8c51-41f1-9159-139a45457201",
"name": "Add Filename",
"type": "n8n-nodes-base.code",
"position": [
540,
320
],
"parameters": {
"jsCode": "\/\/ Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.binary.data.fileName = \"audio.mp3\";\n}\n\nreturn $input.all();"
},
"typeVersion": 2
}
],
"pinData": [],
"connections": {
"Add Filename": {
"main": [
[
{
"node": "Transcribe audio",
"type": "main",
"index": 0
}
]
]
},
"Transcribe audio": {
"main": [
[
{
"node": "Translate Text to English",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Translate Text to English",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Generate French Audio": {
"main": [
[
{
"node": "Add Filename",
"type": "main",
"index": 0
}
]
]
},
"Translate Text to English": {
"main": [
[
{
"node": "Translate English text to speech",
"type": "main",
"index": 0
}
]
]
},
"Set ElevenLabs voice ID and text": {
"main": [
[
{
"node": "Generate French Audio",
"type": "main",
"index": 0
}
]
]
},
"When clicking \"Execute Workflow\"": {
"main": [
[
{
"node": "Set ElevenLabs voice ID and text",
"type": "main",
"index": 0
}
]
]
}
}
}
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...