Transform Bank Statements into Actionable Data with AI Vision
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Effortlessly convert your bank statements, including scanned PDFs, into structured markdown with AI-powered vision models. Extract valuable data like deposit tables and streamline your financial analysis.
About This Workflow
This n8n workflow revolutionizes how you handle bank statements by leveraging the power of Vision Language Models (VLMs) to accurately transcribe documents into markdown format. This preserves crucial details like tables and columnar data, which can then be parsed by standard LLMs for precise data extraction. The workflow supports both downloaded and scanned PDFs, making it versatile for various financial document processing needs. By converting visual information into structured text, you unlock the ability to automatically identify and extract specific financial data, such as all deposit table rows, significantly reducing manual effort and improving accuracy. Protect sensitive data before running this workflow for a secure and efficient process.
Key Features
- AI-Powered Transcription: Utilizes Google Gemini's advanced VLM capabilities to 'read' and transcribe bank statements.
- Markdown Conversion: Outputs structured markdown, preserving tables and columnar data for easy parsing.
- Handles Scanned PDFs: Capable of processing image-based PDFs through an image conversion service.
- Flexible PDF Input: Integrates with Google Drive for easy access to statement files, with options for other triggers.
- Automated Data Extraction: Enables downstream LLM-based extraction of specific financial data like deposit rows.
How To Use
- Download Bank Statement: Configure the 'Get Bank Statement' node to access your bank statement PDF from Google Drive or another cloud storage. Ensure your Google Drive credentials are set up.
- Split PDF into Images: The 'Split PDF into Images' node (using Stirling PDF) converts your PDF into individual image files, one for each page.
- Extract Zip File: The 'Extract Zip File' node unpacks the ZIP archive containing the generated images.
- Images To List: The 'Images To List' code node organizes the extracted image files into a list, preparing them for the AI processing step.
- Resize Images For AI (Optional but Recommended): The 'Resize Images For AI' node can be used to optimize image dimensions if needed to fit AI model input constraints or reduce processing time.
- Google Gemini Chat Model: Configure the 'Google Gemini Chat Model' node with your API credentials. This node will process each image and transcribe its content into markdown.
- Sort Pages (Optional): If you need to ensure the transcribed pages are in order, use the 'Sort Pages' node based on the filename.
Apps Used
Workflow JSON
{
"id": "f2d06cc6-584b-4a1c-bea7-6933933e4cdc",
"name": "Transform Bank Statements into Actionable Data with AI Vision",
"nodes": 21,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: f2d06cc6-584b...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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