{ "workflow": { "id": 3396, "name": "Parse incoming invoices from Outlook using AI Document Understanding", "views": 16444, "recentViews": 3, "totalViews": 16444, "createdAt": "2025-04-01T09:17:11.659Z", "description": "### This n8n template monitors an Outlook mailbox for invoices, automatically parses/extracts data from them and then uploads the output to an Excel Workbook.\n\nOne of my top workflow requests, this template can save many hours of manual labour for you or your finance/accounts team.\n\n### How it works\n* A scheduled trigger is set to fetch recent Outlook messages to the Accounts receivable mailbox.\n* Each message is analysed to determine whether or not it from a supplier and is issuing/contains an invoice.\n* For each valid message, the attachments are downloaded and non-invoice documents are filtered out via AI Vision classification.\n* Invoices are then processed through a AI vision model again to extract the details.\n* The extracted data can then be used for reconciliation or otherwise. For this demonstration, we'll just append the row to an Excel sheet for now.\n\n### How to use\n* Ensure your Microsoft365 credential points to the correct mailbox. If a shared folder is used, toggle \"shared folder\" option to \"on\" and for the principal ID, use the email address.\n* If you receive lots of other types of messages such as replies and forwards, you may want to implement additional checks to prevent processing invoices twice. The \"remove duplicates\" node can help with this.\n\n### Requirements\n* Outlook for Mailbox\n* Google Gemini for Document Understanding and Invoice Extraction\n* Excel for Data Storage\n\n### Customising this workflow\n* Note the assumption for this template is that all invoices will come as a PDF attachment. In real life, this is rarely the case! Adding in document conversion to cover all invoice formats.\n* Human feedback is also an important factor in AI workflows. Try tagging emails as a way to notify team members that the invoice was processed.", "workflow": { "meta": { "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9", "templateCredsSetupCompleted": true }, "nodes": [ { "id": "78bb4afe-ccc6-4b5e-90ba-50253f761f14", "name": "Split Attachments", "type": "n8n-nodes-base.code", "position": [ -80, 140 ], "parameters": { "jsCode": "let results = [];\n\nfor (const item of $input.all()) {\n for (key of Object.keys(item.binary)) {\n results.push({\n json: {\n fileName: item.binary[key].fileName\n },\n binary: {\n data: item.binary[key],\n }\n });\n }\n}\n\nreturn results;" }, "typeVersion": 2 }, { "id": "48a79e8c-27c2-4cdb-a6f7-241158c10962", "name": "Download Attachments", "type": "n8n-nodes-base.microsoftOutlook", "position": [ -260, 140 ], "webhookId": "2eb57df9-1579-4af2-a30e-f412b268aba2", "parameters": { "options": { "downloadAttachments": true }, "messageId": { "__rl": true, "mode": "id", "value": "={{ $json.id }}" }, "operation": "get" }, "credentials": { "microsoftOutlookOAuth2Api": { "id": "credential-id", "name": "microsoftOutlookOAuth2Api Credential" } }, "typeVersion": 2 }, { "id": "7dda1618-dfa7-4325-b5ff-7935602a3043", "name": "Parse Output", "type": "n8n-nodes-base.set", "position": [ 680, 400 ], "parameters": { "mode": "raw", "options": {}, "jsonOutput": "={{\n{\n invoice: $json.candidates[0].content.parts[0].text.parseJson(),\n email: {\n ...$('Message Ref').first().json,\n body: null\n }\n}\n}}" }, "typeVersion": 3.4 }, { "id": "4d45cf33-5a14-4fe4-9485-38de901113aa", "name": "For Each Message", "type": "n8n-nodes-base.splitInBatches", "position": [ -640, 140 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "b5c70065-3ed8-4024-9a10-247810c062a4", "name": "Message Ref", "type": "n8n-nodes-base.noOp", "position": [ -440, 140 ], "parameters": {}, "typeVersion": 1 }, { "id": "cafcf919-25c3-46bd-8dd3-8cc0201c93cb", "name": "Message Classifier", "type": "@n8n/n8n-nodes-langchain.textClassifier", "position": [ -1160, 140 ], "parameters": { "options": { "fallback": "other" }, "inputText": "=from: {{ $json.from.emailAddress.address }} <{{ $json.from.emailAddress.address }}>\nsubject: {{ $json.subject }}\n\n{{ $json.markdown.split('\\n**From**')[0].trim() }}\n", "categories": { "categories": [ { "category": "invoice", "description": "Message is an invoice is being issued" } ] } }, "typeVersion": 1 }, { "id": "f97f9b24-828b-4dd8-a0e8-b7ab670403a8", "name": "Extract from File", "type": "n8n-nodes-base.extractFromFile", "position": [ -440, 340 ], "parameters": { "options": {}, "operation": "binaryToPropery" }, "typeVersion": 1 }, { "id": "99d49549-af7c-46aa-b321-2b9955333812", "name": "Markdown", "type": "n8n-nodes-base.markdown", "position": [ -1340, 140 ], "parameters": { "html": "={{ $json.body.content }}", "options": {}, "destinationKey": "markdown" }, "typeVersion": 1 }, { "id": "18455ee7-e87b-433c-baef-28444358e486", "name": "Empty Response", "type": "n8n-nodes-base.set", "position": [ 680, 600 ], "parameters": { "mode": "raw", "options": {}, "jsonOutput": "={{\n{\n invoice: null,\n email: {\n ...$('Message Ref').first().json,\n body: null\n }\n}\n}}" }, "typeVersion": 3.4 }, { "id": "d0b4bab2-5955-4d05-8e4f-4a23fac98c45", "name": "Wait", "type": "n8n-nodes-base.wait", "position": [ 880, 600 ], "webhookId": "6dae0a77-74f4-4d85-a58b-e55c44fbea58", "parameters": { "amount": 1 }, "typeVersion": 1.1 }, { "id": "2600020d-9751-44df-abcd-48026c21f592", "name": "Filter Invoices", "type": "n8n-nodes-base.filter", "position": [ -80, 340 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "5240de52-3b02-4151-8c2b-b0522582700e", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{\n(function(output) {\n return output.is_invoice && output.is_issued_to_company;\n})(\n $json.candidates[0].content.parts[0].text.parseJson()\n)\n}}", "rightValue": "" } ] } }, "typeVersion": 2.2, "alwaysOutputData": true }, { "id": "b31d359e-d949-4d56-b32e-c49b35124ff7", "name": "Has Invoice?", "type": "n8n-nodes-base.if", "position": [ 280, 400 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "57f433cd-5861-434f-80f2-ce28d7c22c26", "operator": { "type": "object", "operation": "notEmpty", "singleValue": true }, "leftValue": "={{ $input.first().json }}", "rightValue": "" } ] } }, "typeVersion": 2.2 }, { "id": "857e2282-d7f7-438b-be87-a1c36986cfc0", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -1820, 120 ], "parameters": { "rule": { "interval": [ { "field": "hours" } ] } }, "typeVersion": 1.2 }, { "id": "7292a6cc-3b59-4d9b-b87d-3ba55bbc0c67", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -780, -120 ], "parameters": { "color": 7, "width": 950, "height": 680, "content": "## 2. Classify If Attachment is Invoice\n[Learn more about the Outlook node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.microsoftoutlook)\n\nFor each qualifying message, we will need to know which of the attachments contained are actual invoice documents. To do this, we can use Google Gemini's docuemnt understanding capabilities to validate this test. We're using Gemini specifically in this case because at time of writing, Gemini is the only one of the few LLM providers that are currently accepting PDF documents. If you're not using Gemini, you may need to convert the PDF document to an image first - [check out an example of this here](https://n8n.io/workflows/2421-transcribing-bank-statements-to-markdown-using-gemini-vision-ai/)." }, "typeVersion": 1 }, { "id": "ed35c1dc-625d-4ffb-b186-fad514f6df81", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 200, 180 ], "parameters": { "color": 7, "width": 850, "height": 580, "content": "## 3. Extract Invoice Details\n[Learn more about the HTTP Request node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/)\n\nWith our invoice PDFs ready to go, we'll again use the Gemini API to extract the required details from them. I'm using the HTTP request node because unfortunately, Gemini works best for data extraction when using the API's \"generationConfig\" parameter which isn't supported in n8n's native AI nodes. The output is then merged with the original email to keep the reference between them." }, "typeVersion": 1 }, { "id": "42a9036c-8040-41a7-9366-658ba3e31c70", "name": "Get Recent Messages", "type": "n8n-nodes-base.microsoftOutlook", "position": [ -1540, 140 ], "webhookId": "e3957f65-145c-4c0d-ac66-31342a1bc888", "parameters": { "fields": [ "body", "categories", "conversationId", "from", "hasAttachments", "internetMessageId", "sender", "subject", "toRecipients", "receivedDateTime", "webLink" ], "output": "fields", "options": {}, "filtersUI": { "values": { "filters": { "receivedAfter": "={{ $now.minus({ \"hour\": 1 }).toISO() }}", "hasAttachments": true, "foldersToInclude": [ "AAMkAGZkNmEzOTVhLTk3NDQtNGQzNi1hNDY2LTE2MWFlMzUyNTczMgAuAAAAAAA27qsaXv92QoGqcRnqoMpSAQDhSgSaDoa3Sp4gzAabpsdOAAAAAAEMAAA=" ] } } }, "operation": "getAll", "returnAll": true }, "credentials": { "microsoftOutlookOAuth2Api": { "id": "credential-id", "name": "microsoftOutlookOAuth2Api Credential" } }, "typeVersion": 2 }, { "id": "86838ba4-0d57-4571-983f-c17005f39333", "name": "Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ -1080, 280 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash" }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "typeVersion": 1 }, { "id": "8ecb7298-3512-40fe-b2bc-70fb4ed5965d", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1620, -120 ], "parameters": { "color": 7, "width": 810, "height": 560, "content": "## 1. Check for Invoice Emails\n[Learn more about the text classifier node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.text-classifier/)\n\nThe Outlook node fetches all inbox messages within the last hour and classifies each message prior to downloading the attachments. This is a really good early check to reduce the comsumption of resources. In this use-case, using AI for contextual reasoning regarding the intent of the email can be much more powerful than simple keyword matching. The latter is more prone to matching false positives.\n*Note: we're not using the Outlook Trigger node because it doesn't allow setting for dateTime filters.*" }, "typeVersion": 1 }, { "id": "a3c28ab3-ecab-46fd-86bb-62bf8a222f37", "name": "Microsoft Excel 365", "type": "n8n-nodes-base.microsoftExcel", "position": [ 420, -40 ], "parameters": { "options": {}, "fieldsUi": { "values": [ {} ] }, "resource": "worksheet", "workbook": { "__rl": true, "mode": "id", "value": "ABCDEFGHIJ" }, "operation": "append", "worksheet": { "__rl": true, "mode": "id", "value": "{+1234567890+1234567890}" } }, "credentials": { "microsoftExcelOAuth2Api": { "id": "credential-id", "name": "microsoftExcelOAuth2Api Credential" } }, "typeVersion": 2.1 }, { "id": "69f2a975-ab91-4cbc-be72-633c4601bf6f", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 200, -220 ], "parameters": { "color": 7, "width": 530, "height": 380, "content": "## 4. Upload to Excel Workbook\n[Read more about the Excel node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.microsoftexcel/)\n\nFinally to capture the data, we can map these to an Excel workflow which can be reviewed by a human before it enters the accounting system." }, "typeVersion": 1 }, { "id": "68f7c7f3-5ddd-4291-adb3-78f3a297fd8e", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -2120, -660 ], "parameters": { "width": 480, "height": 960, "content": "## Try it out\n### This n8n template monitors an Outlook mailbox for invoices, automatically parses/extracts data from them and then uploads the output to an Excel Workbook.\n\nOne of my top workflow requests, this template can save in order of 100s of hours of manual labour for you or your finance team.\n\n### How it works\n* A scheduled trigger is set to fetch recent Outlook messages to the Accounts receivable mailbox.\n* Each message is analysed to determine whether or not it from a supplier and is issuing/contains an invoice.\n* For each valid message, the attachments are downloaded and non-invoice documents are filtered out via AI Vision classification.\n* Invoices are then processed through a AI vision model again to extract the details.\n* The extracted data can then be used for reconciliation or otherwise. For this demonstration, we'll just append the row to an Excel sheet for now.\n\n### How to use\n* Ensure your Microsoft365 credential points to the correct mailbox. If a shared folder is used, toggle \"shared folder\" option to \"on\" and for the principal ID, use the email address.\n* If you receive lots of other types of messages such as replies and forwards, you may want to implement additional checks to prevent processing invoices twice. The \"remove duplicates\" node can help with this.\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!" }, "typeVersion": 1 }, { "id": "a55323b4-2079-4a7c-8ba2-f20ef0930b55", "name": "Invoice Classifier With Gemini 2.0", "type": "n8n-nodes-base.httpRequest", "position": [ -260, 340 ], "parameters": { "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent", "method": "POST", "options": {}, "jsonBody": "={{\n{\n \"contents\": [\n {\n \"parts\": [\n {\n \"inline_data\": {\n \"mime_type\": $('Split Attachments').item.binary.data.mimeType,\n \"data\": $json.data\n }\n },\n {\n \"text\": `You are an accounts receivable agent who is helping to identify if the document is an invoice, the invoice's supplier is not our company and the invoice is issued to our company.`\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"response_mime_type\": \"application/json\",\n \"response_schema\": {\n \"type\": \"OBJECT\",\n \"required\": [\n \"is_invoice\",\n \"is_issued_to_company\"\n ],\n \"properties\": {\n \"is_invoice\": { \"type\": \"boolean\" },\n \"is_issued_to_company\": { \"type\": \"boolean\" }\n }\n }\n }\n}\n}}", "sendBody": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "nodeCredentialType": "googlePalmApi" }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "executeOnce": false, "retryOnFail": false, "typeVersion": 4.2 }, { "id": "f696737d-cddf-411b-a427-cc72bd68d248", "name": "File-Based OCR with Gemini 2.0", "type": "n8n-nodes-base.httpRequest", "onError": "continueErrorOutput", "position": [ 480, 400 ], "parameters": { "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent", "method": "POST", "options": {}, "jsonBody": "={{\n{\n \"contents\": [\n {\n \"parts\": [\n {\n \"inline_data\": {\n \"mime_type\": $('Split Attachments').item.binary.data.mimeType,\n \"data\": $('Extract from File').item.json.data\n }\n },\n {\n \"text\": `You are an accounts receivable agent who is helping to extract information from a supplier's invoice issued to our company.`\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"response_mime_type\": \"application/json\",\n \"response_schema\": {\n \"type\": \"OBJECT\",\n \"required\": [\n \"invoice_number\",\n \"invoice_date\",\n \"invoice_amount\",\n \"invoice_due_date\",\n \"supplier_name\",\n \"supplier_address\",\n \"supplier_telephone\",\n \"supplier_email\",\n \"booking_number\",\n \"booking_date\",\n \"booking_name\",\n \"guest_name\",\n \"guest_quantity\",\n \"services\"\n ],\n \"properties\": {\n \"invoice_number\": { \"type\": \"string\" },\n \"invoice_date\": { \"type\": \"string\", \"nullable\": true },\n \"invoice_amount\": { \"type\": \"number\", \"nullable\": true },\n \"invoice_due_date\": { \"type\": \"string\", \"nullable\": true },\n \"recipient_name\": { \"type\": \"string\", \"nullable\": true },\n \"recipient_address\": { \"type\": \"string\", \"nullable\": true },\n \"recipient_company_number\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_name\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_address\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_telephone\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_email\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_company_number\": { \"type\": \"string\", \"nullable\": true },\n \"booking_number\": { \"type\": \"string\", \"nullable\": true },\n \"booking_date\": { \"type\": \"string\", \"nullable\": true },\n \"booking_name\": { \"type\": \"string\", \"nullable\": true },\n \"guest_name\": { \"type\": \"string\", \"nullable\": true },\n \"guest_quantity\": { \"type\": \"number\", \"nullable\": true },\n \"services\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"required\": [],\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"date\": { \"type\": \"string\", \"nullable\": true },\n \"description\": { \"type\": \"string\", \"nullable\": true },\n \"quantity\": { \"type\": \"number\", \"nullable\": true },\n \"total\": { \"type\": \"number\" }\n }\n }\n }\n }\n }\n }\n}\n}}", "sendBody": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "nodeCredentialType": "googlePalmApi" }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "executeOnce": false, "retryOnFail": false, "typeVersion": 4.2 }, { "id": "1d76c0c8-a03b-4f0c-b76d-53369ab5d6e8", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 760, -220 ], "parameters": { "color": 5, "width": 400, "height": 140, "content": "### Where Next? It's Up to You!\nThis template is deliberately cut short to demonstrate the build but should be easily modified to upload directly to an accounting system or even extended for other tasks such as invoice reconciliation and more." }, "typeVersion": 1 } ], "pinData": {}, "connections": { "Wait": { "main": [ [ { "node": "For Each Message", "type": "main", "index": 0 } ] ] }, "Model": { "ai_languageModel": [ [ { "node": "Message Classifier", "type": "ai_languageModel", "index": 0 } ] ] }, "Markdown": { "main": [ [ { "node": "Message Classifier", "type": "main", "index": 0 } ] ] }, "Message Ref": { "main": [ [ { "node": "Download Attachments", "type": "main", "index": 0 } ] ] }, "Has Invoice?": { "main": [ [ { "node": "File-Based OCR with Gemini 2.0", "type": "main", "index": 0 } ], [ { "node": "Empty Response", "type": "main", "index": 0 } ] ] }, "Parse Output": { "main": [ [ { "node": "Wait", "type": "main", "index": 0 } ] ] }, "Empty Response": { "main": [ [ { "node": "Wait", "type": "main", "index": 0 } ] ] }, "Filter Invoices": { "main": [ [ { "node": "Has Invoice?", "type": "main", "index": 0 } ] ] }, "For Each Message": { "main": [ [ { "node": "Microsoft Excel 365", "type": "main", "index": 0 } ], [ { "node": "Message Ref", "type": "main", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "Get Recent Messages", "type": "main", "index": 0 } ] ] }, "Extract from File": { "main": [ [ { "node": "Invoice Classifier With Gemini 2.0", "type": "main", "index": 0 } ] ] }, "Split Attachments": { "main": [ [ { "node": "Extract from File", "type": "main", "index": 0 } ] ] }, "Message Classifier": { "main": [ [ { "node": "For Each Message", "type": "main", "index": 0 } ], [] ] }, "Get Recent Messages": { "main": [ [ { "node": "Markdown", "type": "main", "index": 0 } ] ] }, "Download Attachments": { "main": [ [ { "node": "Split Attachments", "type": "main", "index": 0 } ] ] }, "File-Based OCR with Gemini 2.0": { "main": [ [ { "node": "Parse Output", "type": "main", "index": 0 } ], [ { "node": "Empty Response", "type": "main", "index": 0 } ] ] }, "Invoice Classifier With Gemini 2.0": { "main": [ [ { "node": "Filter Invoices", "type": "main", "index": 0 } ], [] ] } } }, "lastUpdatedBy": 29, "workflowInfo": { "nodeCount": 24, "nodeTypes": { "n8n-nodes-base.if": { "count": 1 }, "n8n-nodes-base.set": { "count": 2 }, "n8n-nodes-base.code": { "count": 1 }, "n8n-nodes-base.noOp": { "count": 1 }, "n8n-nodes-base.wait": { "count": 1 }, "n8n-nodes-base.filter": { "count": 1 }, "n8n-nodes-base.markdown": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 6 }, "n8n-nodes-base.httpRequest": { "count": 2 }, "n8n-nodes-base.microsoftExcel": { "count": 1 }, "n8n-nodes-base.splitInBatches": { "count": 1 }, "n8n-nodes-base.extractFromFile": { "count": 1 }, "n8n-nodes-base.scheduleTrigger": { "count": 1 }, "n8n-nodes-base.microsoftOutlook": { "count": 2 }, "@n8n/n8n-nodes-langchain.textClassifier": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatGoogleGemini": { "count": 1 } } }, "status": "published", "user": { "name": "Jimleuk", "username": "jimleuk", "bio": "Founder @ Subworkflow.ai - the fastest way to build durable RAG applications.\n\nFreelance AI Automation Engineer based in London, UK. Since 2024, my n8n templates have documented my journey into applied AI and have helped hundreds of businesses and organisations get up to speed with AI automation. 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If the condition is met, the item will be passed on to the next node. If the condition is not met, the item will be omitted. Conditions can be combined together by AND(meet all conditions), or OR(meet at least one condition).", "resources": { "generic": [], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filter/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Flow", "Data Transformation" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Filter", "color": "#229eff" }, "iconData": { "icon": "filter", "type": "icon" }, "displayName": "Filter", "typeVersion": 2, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 1235, "icon": "file:extractFromFile.svg", "name": "n8n-nodes-base.extractFromFile", "codex": { "data": { "alias": [ "CSV", "Spreadsheet", "Excel", "xls", "xlsx", "ods", "tabular", "decode", "decoding", "Move Binary Data", "Binary", "File", "PDF", "JSON", "HTML", "ICS", "iCal", "txt", "Text", "RTF", "XML", "64", "Base64", "Convert" ], "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.extractfromfile/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Files", "Data Transformation" ] } } }, "group": "[\"input\"]", "defaults": { "name": "Extract from File" }, "iconData": { "type": "file", "fileBuffer": 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}, "displayName": "Extract from File", "typeVersion": 1, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 1262, "icon": "file:google.svg", "name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "codex": { "data": { "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Language Models", "Root Nodes" ], "Language Models": [ "Chat Models (Recommended)" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Google Gemini Chat Model" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "Google Gemini Chat Model", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] }, { "id": 1265, "icon": "fa:tags", "name": "@n8n/n8n-nodes-langchain.textClassifier", "codex": { "data": { "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.text-classifier/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Chains", "Root Nodes" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Text Classifier" }, "iconData": { "icon": "tags", "type": "icon" }, "displayName": "Text Classifier", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] } ], "categories": [ { "id": 34, "name": "Invoice Processing" }, { "id": 49, "name": "AI Summarization" } ], "image": [] } }