Convert Bank Statements to Markdown with Gemini Vision
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Automate the conversion of bank statement PDFs to markdown using Google Gemini's Vision capabilities. This workflow handles scanned and downloaded PDFs, extracting valuable document data.
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About This Workflow
Overview
This n8n workflow automates the process of converting bank statement PDFs into markdown format. It leverages Google Gemini's Vision Language Model (VLM) capabilities to accurately interpret the content of both scanned and downloaded PDFs. The output markdown preserves document structure, making it ideal for subsequent data extraction by standard LLMs. This workflow addresses the challenge of extracting structured data from visually complex documents like bank statements.
Key Features
- Converts PDF bank statements to markdown using a Vision Language Model.
- Handles both scanned and downloaded PDF documents.
- Preserves table and columnar data through markdown conversion.
- Utilizes Google Gemini for advanced image-to-text understanding.
- Includes image resizing to optimize AI processing speed and manage token limits.
How To Use
- Download Bank Statement: Use the Google Drive node to download your bank statement PDF. You can replace this with other triggers like webhooks.
- Split PDF into Images: Employ the Stirling PDF webservice (or a self-hosted instance) to convert each page of the PDF into separate image files (e.g., JPG).
- Extract Images and Sort: Unzip the generated archive of images and prepare them as a list. Sort the images by their file names to maintain page order.
- Resize Images for AI: Use the 'Edit Image' node to resize images to optimize processing time for the AI model, ensuring sufficient resolution is maintained.
- Convert Images to Markdown with Gemini: Utilize the Google Gemini Chat Model node to transcribe the content of each image into markdown format. This node is configured to handle image inputs and generate text outputs.
- Extract Key Data: Once the PDF is converted to markdown, use another Google Gemini Chat Model node (or a dedicated information extractor) to confidently extract specific data points, such as deposit line items, from the markdown text.
Apps Used
Workflow JSON
{
"id": "d4e35ae7-8895-47e8-96b8-3481a9ca3f5a",
"name": "Convert Bank Statements to Markdown with Gemini Vision",
"nodes": 0,
"category": "PDF and Document Processing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: d4e35ae7-8895...
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Crypto_Watcher
Web3 Developer
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