Automatisation Google Drive avec n8n : gestion des PDF par email
Ce workflow n8n est conçu pour automatiser la gestion des fichiers PDF reçus par email, en les traitant et en les téléchargeant sur Google Drive. Dans un contexte professionnel où la gestion documentaire est cruciale, ce processus permet de gagner du temps et d'éviter les erreurs humaines. Par exemple, les équipes qui reçoivent régulièrement des documents PDF peuvent bénéficier de cette automatisation pour centraliser leurs fichiers sans intervention manuelle.
- Étape 1 : le workflow se déclenche à la réception d'un email via le nœud 'On email received'.
- Étape 2 : il vérifie si l'email contient des pièces jointes grâce au nœud 'Has attachments?'. Si des fichiers sont présents, il passe à l'étape suivante.
- Étape 3 : le nœud 'Iterate over email attachments' permet d'examiner chaque pièce jointe.
- Étape 4 : le nœud 'Read PDF' lit le contenu des fichiers PDF.
- Étape 5 : le workflow utilise 'OpenAI matches PDF textual content' pour analyser le texte et déterminer s'il correspond à des critères prédéfinis. Enfin, si le PDF est valide, il est téléchargé sur Google Drive via le nœud 'Upload file to folder'. Cette automatisation n8n permet de réduire les risques d'erreurs, d'améliorer l'efficacité et de garantir que tous les documents sont correctement archivés.
Workflow n8n Google Drive, PDF, email : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Google Drive, PDF, email : détail des nœuds
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"meta": {
"instanceId": "a2434c94d549548a685cca39cc4614698e94f527bcea84eefa363f1037ae14cd"
},
"nodes": [
{
"id": "deafa2e8-af41-4f11-92e0-09992f6c6970",
"name": "Read PDF",
"type": "n8n-nodes-base.readPDF",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "8e3ddbb1-83a1-4f79-9464-61d5a20f0427",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"width": 444.034812880766,
"height": 599.5274151436035,
"content": "## Send specific PDF attachments from Gmail to Google Drive using OpenAI\n\n_**DISCLAIMER**: You may have varying success when using this workflow so be prepared to validate the correctness of OpenAI's results._\n\nThis workflow reads PDF textual content and sends the text to OpenAI. Attachments of interest will then be uploaded to a specified Google Drive folder. For example, you may wish to send invoices received from an email to an inbox folder in Google Drive for later processing. This workflow has been designed to easily change the search term to match your needs. See the workflow for more details.\n\n### How it works\n1. Triggers off on the `On email received` node.\n2. Iterates over the attachments in the email.\n3. Uses the `OpenAI` node to filter out the attachments that do not match the search term set in the `Configure` node. You could match on various PDF files (i.e. invoice, receipt, or contract).\n4. If the PDF attachment matches the search term, the workflow uses the `Google Drive` node to upload the PDF attachment to a specific Google Drive folder.\n\n\nWorkflow written by [David Sha](https://davidsha.me)."
},
"typeVersion": 1
},
{
"id": "fb2c3697-a92f-4be1-b9a6-0326f87de70b",
"name": "Configure",
"type": "n8n-nodes-base.set",
"position": [
-20,
1520
],
"parameters": {
"values": {
"number": [
{
"name": "maxTokenSize",
"value": 4000
},
{
"name": "replyTokenSize",
"value": 50
}
],
"string": [
{
"name": "Match on",
"value": "payslip"
},
{
"name": "Google Drive folder to upload matched PDFs",
"value": "https://drive.google.com/drive/u/0/folders/1SKdHTnYoBNlnhF_QJ-Zyepy-3-WZkObo"
}
]
},
"options": {}
},
"typeVersion": 1
},
{
"id": "792c49f4-06e3-4d77-a31f-1513f70abf32",
"name": "Is PDF",
"type": "n8n-nodes-base.if",
"position": [
640,
1520
],
"parameters": {
"conditions": {
"string": [
{
"value1": "={{ $binary.data.fileExtension }}",
"value2": "pdf"
}
]
}
},
"typeVersion": 1
},
{
"id": "82be9111-665d-41c6-8190-2247acdb749b",
"name": "Not a PDF",
"type": "n8n-nodes-base.noOp",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "c2ac155f-38ee-46f2-8a24-5614e3c32ff5",
"name": "Is matched",
"type": "n8n-nodes-base.if",
"position": [
1720,
1480
],
"parameters": {
"conditions": {
"string": [
{
"value1": "={{ $json[\"text\"] }}",
"value2": "true"
}
]
}
},
"typeVersion": 1
},
{
"id": "4a8f15b8-c153-493d-9a2a-d63d911d642d",
"name": "This is a matched PDF",
"type": "n8n-nodes-base.noOp",
"position": [
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1380
],
"parameters": {},
"typeVersion": 1
},
{
"id": "89601591-5c7b-461c-859b-25c7c1f0c2e6",
"name": "This is not a matched PDF",
"type": "n8n-nodes-base.noOp",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "ac517c4a-83b8-441f-b14c-c927c18f8012",
"name": "Iterate over email attachments",
"type": "n8n-nodes-base.code",
"position": [
420,
1420
],
"parameters": {
"jsCode": "// https://community.n8n.io/t/iterating-over-email-attachments/13588/3\nlet results = [];\n\nfor (const item of $input.all()) {\n for (key of Object.keys(item.binary)) {\n results.push({\n json: {},\n binary: {\n data: item.binary[key],\n }\n });\n }\n}\n\nreturn results;"
},
"typeVersion": 1
},
{
"id": "79fdf2de-42fe-4ebb-80fb-cc80dcd284f9",
"name": "OpenAI matches PDF textual content",
"type": "n8n-nodes-base.openAi",
"position": [
1300,
1340
],
"parameters": {
"prompt": "=Does this PDF file look like a {{ $(\"Configure\").first().json[\"Match on\"] }}? Return \"true\" if it is a {{ $(\"Configure\").first().json[\"Match on\"] }} and \"false\" if not. Only reply with lowercase letters \"true\" or \"false\".\n\nThis is the PDF filename:\n```\n{{ $binary.data.fileName }}\n```\n\nThis is the PDF text content:\n```\n{{ $json.text }}\n```",
"options": {
"maxTokens": "={{ $('Configure').first().json.replyTokenSize }}",
"temperature": 0.1
}
},
"credentials": {
"openAiApi": {
"id": "30",
"name": "REPLACE ME"
}
},
"typeVersion": 1,
"alwaysOutputData": false
},
{
"id": "8bdb3263-40f2-4277-8cc0-f6edef90a1cd",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
1500,
1480
],
"parameters": {
"mode": "combine",
"options": {
"clashHandling": {
"values": {
"resolveClash": "preferInput1"
}
}
},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2
},
{
"id": "8e68e725-b2df-4c0c-8b17-e0cd4610714d",
"name": "Upload file to folder",
"type": "n8n-nodes-base.googleDrive",
"position": [
2160,
1380
],
"parameters": {
"name": "={{ $binary.data.fileName }}",
"options": {},
"parents": [
"={{ $('Configure').first().json[\"Google Drive folder to upload matched PDFs\"].split(\"/\").at(-1) }}"
],
"binaryData": true
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "32",
"name": "REPLACE ME"
}
},
"typeVersion": 2
},
{
"id": "bda00901-5ade-471c-b6f9-a18ef4d71589",
"name": "On email received",
"type": "n8n-nodes-base.gmailTrigger",
"position": [
-240,
1520
],
"parameters": {
"simple": false,
"filters": {},
"options": {
"downloadAttachments": true,
"dataPropertyAttachmentsPrefixName": "attachment_"
},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"credentials": {
"gmailOAuth2": {
"id": "31",
"name": "REPLACE ME"
}
},
"typeVersion": 1
},
{
"id": "b2ff4774-336b-47a3-af3f-ada809ed9b8a",
"name": "Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-100,
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],
"parameters": {
"width": 259.0890718059702,
"height": 607.9684549079709,
"content": "### Configuration\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n__`Match on`(required)__: What should OpenAI's search term be? Examples: invoice, callsheet, receipt, contract, payslip.\n__`Google Drive folder to upload matched PDFs`(required)__: Paste the link of the GDrive folder, an example has been provided but will need to change to a folder you own.\n__`maxTokenSize`(required)__: The maximum token size for the model you choose. See possible models from OpenAI [here](https://platform.openai.com/docs/models/gpt-3).\n__`replyTokenSize`(required)__: The reply's maximum token size. Default is 300. This determines how much text the AI will reply with."
},
"typeVersion": 1
},
{
"id": "beb571fe-e7a3-4f3c-862b-dc01821e5f3f",
"name": "Ignore large PDFs",
"type": "n8n-nodes-base.noOp",
"position": [
1300,
1620
],
"parameters": {},
"typeVersion": 1
},
{
"id": "f3c4f249-08a7-4e5e-8f46-e07393ac10b5",
"name": "Is text within token limit?",
"type": "n8n-nodes-base.if",
"position": [
1080,
1520
],
"parameters": {
"conditions": {
"boolean": [
{
"value1": "={{ $json.text.length() / 4 <= $('Configure').first().json.maxTokenSize - $('Configure').first().json.replyTokenSize }}",
"value2": true
}
]
}
},
"typeVersion": 1
},
{
"id": "93b6fb96-3e0e-4953-bd09-cf882d2dc69c",
"name": "Has attachments?",
"type": "n8n-nodes-base.if",
"position": [
200,
1520
],
"parameters": {
"conditions": {
"boolean": [
{
"value1": "={{ $('On email received').item.binary.isNotEmpty() }}",
"value2": true
}
]
}
},
"typeVersion": 1
},
{
"id": "554d415e-a965-46be-8442-35c4cb6b005c",
"name": "There are no attachments",
"type": "n8n-nodes-base.noOp",
"position": [
420,
1620
],
"parameters": {},
"typeVersion": 1
}
],
"connections": {
"Merge": {
"main": [
[
{
"node": "Is matched",
"type": "main",
"index": 0
}
]
]
},
"Is PDF": {
"main": [
[
{
"node": "Read PDF",
"type": "main",
"index": 0
}
],
[
{
"node": "Not a PDF",
"type": "main",
"index": 0
}
]
]
},
"Read PDF": {
"main": [
[
{
"node": "Is text within token limit?",
"type": "main",
"index": 0
}
]
]
},
"Configure": {
"main": [
[
{
"node": "Has attachments?",
"type": "main",
"index": 0
}
]
]
},
"Is matched": {
"main": [
[
{
"node": "This is a matched PDF",
"type": "main",
"index": 0
}
],
[
{
"node": "This is not a matched PDF",
"type": "main",
"index": 0
}
]
]
},
"Has attachments?": {
"main": [
[
{
"node": "Iterate over email attachments",
"type": "main",
"index": 0
}
],
[
{
"node": "There are no attachments",
"type": "main",
"index": 0
}
]
]
},
"On email received": {
"main": [
[
{
"node": "Configure",
"type": "main",
"index": 0
}
]
]
},
"This is a matched PDF": {
"main": [
[
{
"node": "Upload file to folder",
"type": "main",
"index": 0
}
]
]
},
"Is text within token limit?": {
"main": [
[
{
"node": "OpenAI matches PDF textual content",
"type": "main",
"index": 0
},
{
"node": "Merge",
"type": "main",
"index": 1
}
],
[
{
"node": "Ignore large PDFs",
"type": "main",
"index": 0
}
]
]
},
"Iterate over email attachments": {
"main": [
[
{
"node": "Is PDF",
"type": "main",
"index": 0
}
]
]
},
"OpenAI matches PDF textual content": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Google Drive, PDF, email : pour qui est ce workflow ?
Ce workflow s'adresse aux entreprises et équipes qui gèrent un volume important de documents PDF par email, notamment dans les secteurs de la finance, du juridique ou de l'administration. Il est conçu pour des utilisateurs ayant des compétences techniques intermédiaires et souhaitant optimiser leur gestion documentaire.
Workflow n8n Google Drive, PDF, email : problème résolu
Ce workflow résout le problème de la gestion manuelle des fichiers PDF reçus par email, qui peut être chronophage et sujet à des erreurs. En automatisant ce processus, les utilisateurs éliminent les frustrations liées à la recherche et à l'archivage de documents, tout en garantissant que les fichiers sont correctement traités et stockés. Le résultat est une gestion documentaire plus fluide et efficace.
Workflow n8n Google Drive, PDF, email : étapes du workflow
Étape 1 : Le workflow se déclenche à la réception d'un email.
- Étape 1 : Il vérifie la présence de pièces jointes.
- Étape 2 : Si des pièces jointes sont détectées, il itère sur chaque fichier.
- Étape 3 : Le contenu des fichiers PDF est lu.
- Étape 4 : Le texte est analysé pour vérifier s'il correspond à des critères spécifiques.
- Étape 5 : Si le PDF est valide, il est téléchargé sur Google Drive.
Workflow n8n Google Drive, PDF, email : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier les paramètres du nœud 'On email received' pour définir des filtres spécifiques sur les emails entrants. Dans le nœud 'OpenAI matches PDF textual content', ajustez le prompt pour affiner les critères de correspondance. Vous pouvez également changer le dossier cible dans le nœud 'Upload file to folder' pour spécifier où les fichiers doivent être stockés sur Google Drive. Assurez-vous de sécuriser le flux en vérifiant les autorisations d'accès aux fichiers et en surveillant les erreurs potentielles.