Transcribing Bank Statements To Markdown Using Gemini Vision AI — Workflow n8n
Przegląd
This n8n workflow demonstrates an approach to parsing bank statement PDFs with multimodal LLMs as an alternative to traditional OCR. This allows for much more accurate data extraction from the document especially when it comes to tables and complex layouts.
Multimodal Parsing is better than traditiona OCR because: It reduces complexity and overhead by avoiding the need to preprocess the document into text format such as markdown before passing to the LLM. It handles non-standard PDF formats whi
Użyte węzły
Podgląd workflow
Jak to działa
- 1
Wyzwalacz
Workflow uruchamia się wyzwalaczem wyzwalacz.
- 2
Przetwarzanie
Dane przepływają przez 12 węzłów, connecting aggregate, chainllm, code.
- 3
Wyjście
Workflow kończy automatyzację i dostarcza wynik do skonfigurowanego miejsca docelowego.
Szczegóły węzłów (12)
Edit Image
editImage
HTTP Request
httpRequest
Google Drive
googleDrive
Compression
compression
Code
code
Basic LLM Chain
n8n-nodes-langchain.chainLlm
Google Gemini Chat Model
n8n-nodes-langchain.lmChatGoogleGemini
Information Extractor
n8n-nodes-langchain.informationExtractor
Jak zaimportować ten workflow
- 1Kliknij przycisk Pobierz JSON po prawej stronie, aby zapisać plik workflow.
- 2Otwórz swoją instancję n8n. Przejdź do Workflow → Nowy → Importuj z pliku.
- 3Wybierz pobrany plik
transcribing-bank-statements-to-markdown-using-gemini-vision-aii kliknij Importuj. - 4Skonfiguruj dane uwierzytelniające dla każdego węzła usługi (klucze API, OAuth itp.).
- 5Kliknij Testuj workflow, aby sprawdzić, czy wszystko działa, a następnie aktywuj go.
Lub wklej bezpośrednio w n8n → Importuj z JSON:
Integracje
Autor
Jimleuk
@jimleuk
Tagi
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