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"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
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"operation": "binaryToPropery"
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"parameters": {
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"cachedResultName": "Invoice-798FE2FA-0004.pdf"
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"parameters": {
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"jsonBody": "={\n \"contents\": [\n {\n \"parts\": [\n {\n \"inline_data\": {\n \"mime_type\": \"application/pdf\",\n \"data\": \"{{ $json.data }}\"\n }\n },\n {\n \"text\": \"{{ $('Define Prompt').item.json.prompt }}\"\n }\n ]\n }\n ]\n}",
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"jsonBody": "={\n \"model\": \"claude-3-5-sonnet-20241022\",\n \"max_tokens\": 1024,\n \"messages\": [{\n \"role\": \"user\",\n \"content\": [{\n \"type\": \"document\",\n \"source\": {\n \"type\": \"base64\",\n \"media_type\": \"application/pdf\",\n \"data\": \"{{$json.data}}\"\n }\n },\n {\n \"type\": \"text\",\n \"text\": \"{{ $('Define Prompt').item.json.prompt }}\"\n }]\n }]\n}",
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"content": "## Workflow: Extract data from PDF with Claude 3.5 Sonnet or Gemini 2.0 Flash\n\n**Overview**\n- This workflow helps you compare Claude 3.5 Sonnet and Gemini 2.0 Flash when extracting data from a PDF\n- This workflow extracts and processes the data within a PDF in **one single step**, **instead of calling an OCR and then an LLM”**\n\n\n**How it works**\n- The initial 2 steps download the PDF and convert it to base64.\n- This base64 string is then sent to both Claude 3.5 Sonnet and Gemini 2.0 Flash to extract information.\n- This workflow is made to let you compare results, latency, and cost (in their dedicated dashboard).\n\n\n**How to use it**\n- Set up your Google Drive if not already done\n- Select a document on your Google Drive\n- Modify the prompt in \"Define Prompt\" to extract the information you need and transform it as wanted.\n- Get a [Claude API key](https://console.anthropic.com/settings/keys) and/or [Gemini API key](https://aistudio.google.com/app/apikey)\n- Note that you can deactivate one of the 2 API calls if you don't want to try both\n- Test the Workflow\n"
},
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"parameters": {
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"width": 320,
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"content": "You can output the result as JSON by adding the following:\n```\n\"generationConfig\": {\n \"responseMimeType\": \"application/json\"\n```\nor even use a structured output.\n[Check the documentation](https://ai.google.dev/gemini-api/docs/structured-output?lang=rest)"
},
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{
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"name": "prompt",
"type": "string",
"value": "Extract the VAT numbers for each country"
}
]
}
},
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{
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"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 5,
"width": 320,
"height": 240,
"content": "You can force Claude to output JSON with [Prefill response format](https://docs.anthropic.com/en/docs/test-and-evaluate/strengthen-guardrails/increase-consistency#prefill-claudes-response)"
},
"typeVersion": 1
},
{
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"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
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"width": 380,
"height": 280,
"content": "These 2 steps first download the PDF file, and then convert it to base64.\nThis is required by both APIs to process the file."
},
"typeVersion": 1
},
{
"id": "e5dff70f-b55a-4c23-9025-765a7cf19c4a",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
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],
"parameters": {
"color": 5,
"width": 220,
"height": 280,
"content": "This prompt is used in both Gemini’s and Claude’s calls to define what information should be extracted and processed."
},
"typeVersion": 1
}
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