Transcribing Bank Statements To Markdown Using Gemini Vision AI

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 which may produce garbled output via traditional OCR text conversion. It's orders of magnitude cheaper than premium OCR models that still require post-processing cleanup and formatting. LLMs can format to

Help me set up the n8n workflow "Transcribing Bank Statements To Markdown Using Gemini Vision AI" (https://n8n.io/workflows/2421). It uses: Edit Image, HTTP Request, Google Drive, Compression, Code, Basic LLM Chain, Google Gemini Chat Model, Information Extractor. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.