Bank Statement To Markdown Using Vision
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Converts a bank statement PDF into markdown text using a Vision Language Model.
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About This Workflow
Overview
This workflow takes a PDF bank statement, splits it into individual image pages, and then uses a Vision Language Model (VLM) to convert each page into markdown text. This markdown preserves tabular data and structure, making it easier to process further with standard LLMs.
Key Features
- Handles both downloaded and scanned PDFs.
- Converts PDF pages to images.
- Utilizes a VLM to extract text and structure into markdown.
- Preserves tabular data from the bank statement.
- Supports image resizing for AI processing efficiency.
How To Use
- Trigger: Manually trigger the workflow or adapt it to use a different trigger (e.g., webhook).
- Get Bank Statement: Configure the Google Drive node with the
fileIdof your bank statement PDF. - Split PDF: The workflow uses an external HTTP Request to a service that splits the PDF into multiple image files (e.g., JPG).
- Extract Zip: The output from the PDF splitting service is a zip file, which is then extracted.
- Images To List: This code node prepares the image files for the next step.
- Resize Images: The
editImagenode resizes images to optimize processing by the AI model. - Google Gemini Chat Model: Configure the Google Gemini node with your API credentials. This node performs the core VLM task of converting images to markdown.
- Sort Pages (Optional): The
sortnode can be used to ensure pages are processed in the correct order if needed. - Output: The output will be markdown text representing the content of the bank statement.
Apps Used
Workflow JSON
{
"id": "e5c3e785-8947-4373-9784-7f2787bcff11",
"name": "Bank Statement To Markdown Using Vision",
"nodes": 0,
"category": "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: e5c3e785-8947...
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