5 Ways to Process Images & PDFs with Gemini AI in n8n — n8n 워크플로
개요
How it works
Many users have asked in the support forum about different methods to analyze images and PDF documents with Google Gemini AI in n8n. This workflow answers that question by demonstrating five different approaches:
Single image with auto binary passthrough - The simplest approach using AI Agent's automatic binary handling Multiple images with predefined prompts - For customized analysis with different instructions per image Native n8n item-by-item processing - For handling multiple
사용된 노드
워크플로 미리보기
작동 원리
- 1
트리거
워크플로는 트리거 트리거로 시작합니다.
- 2
처리
데이터가 22개의 노드를 통해 흐릅니다, connecting agent, extractfromfile, filter.
- 3
출력
워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.
노드 세부 정보 (22)
HTTP Request
httpRequest
AI Agent
n8n-nodes-langchain.agent
Google Gemini Chat Model
n8n-nodes-langchain.lmChatGoogleGemini
이 워크플로 가져오는 방법
- 1오른쪽의 JSON 다운로드 버튼을 클릭하여 워크플로 파일을 저장합니다.
- 2n8n 인스턴스를 열고 워크플로 → 새로 만들기 → 파일에서 가져오기로 이동합니다.
- 3다운로드된
5-ways-to-process-images-pdfs-with-gemini-ai-in-n8n파일을 선택하고 가져오기를 클릭합니다. - 4각 서비스 노드에 대한 자격 증명（API 키, OAuth 등）을 설정합니다.
- 5워크플로 테스트를 클릭하여 모든 것이 작동하는지 확인한 후 활성화합니다.
또는 n8n → JSON에서 가져오기에 직접 붙여넣기:
통합
제작자
Julian Kaiser
@jksr
태그
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