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CV Resume PDF Parsing with Multimodal Vision AI

by Jimleukadapted from n8n official workflow galleryUpdated Aug 2026
RequiresBBasic LLM ChainEdit ImageEdit ImageGoogle DriveGoogle DriveGoogle Gemini Chat ModelHTTP RequestHTTP RequestStructured Output ParserStructured Output Parser
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MaWhen clicking ‘Test workflow’When clicking ‘…OPStructured Output ParserStructured Outp…IfShould Proceed To Stage 2?Should Proceed …Download ResumeHRPDF-to-Image APIEIResize Converted ImageResize Converte…Google Gemini Chat ModelGoogle Gemini C…CLCandidate Resume AnalyserCandidate Resum…1234567
1/5
STEPS · 7
Run manually by an operator

This n8n workflow demonstrates how we can use Multimodal LLMs to parse and extract from PDF documents in n8n. In this particular scenario, we're passing a candidate's CV/resume to an AI which filters out unqualified applications. However, this sneaky candidate has added in hidden prompt to bypass our bot! Whatever will we do? No fret, using AI Vision is one approach to solve this problem... read on! How it works Our candidate's CV/Resume is a PDF downloaded via Google Drive for this demonstration. The PDF is then converted into an image PNG using a tool called Stirling PDF. Since the hidden prompt has a white font color, it is is invisible in the converted image. The image is then forwarded to a Basic LLM node to process using our multimodal model - in this example, we'll use Google's Gemini 1.5 Pro. In the Basic LLM node, we'll need to set a User Message with the type of Binary. This allows us to directly send the image file in our request. The LLM is now immune to the hidden prompt and its response is has expected.

Tags

n8nreference-onlychain-llmedit-imagegoogle-drivelm-chat-google-geminioutput-parser-structured
Connects
BBasic LLM ChaineditimageEdit ImagegoogledriveGoogle DriveGoogle Gemini Chat ModelWHTTP RequeststructuredoutputparserStructured Output Parser
CategoryAI Automation
Triggermanual
Complexitycomplex
Nodes8
AddedSep 16, 2024

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