Add OCR support for bill/screenshot images with tabular data extraction and Excel export
Author: LandlordOfcatCreated Sep 8, 2026Updated Sep 8, 2026
Feature Request
Overview
Add optical character recognition (OCR) capability to process bill and screenshot images, extract tabular data based on user-defined criteria, and export results to Excel files.
Requested Functionality
Screenshot/Bill Image OCR Processing
- Support common image formats (PNG, JPG, PDF)
- Recognize and extract text from bill/screenshot images
- Handle various bill layouts and formats
Tabular Data Extraction
- Automatically detect and parse table structures in images
- Extract rows, columns, and cell values
- Preserve data relationships and formatting
Custom User Instructions for Target Fields
- Allow users to define which fields/data to extract
- Support field mapping and data filtering
- Enable flexible extraction based on specific use cases
Excel Export Functionality
- Export extracted data to XLSX format
- Maintain data structure and formatting
- Support batch processing of multiple images
Use Case
- Workflow: Upload bill screenshots → Extract specified data → Output Excel file
- Enable users to quickly digitize and organize bill information without manual data entry
- Useful for stock trading documentation, expense tracking, or financial record keeping
Implementation Considerations
- Consider integrating with existing OCR libraries (e.g., Tesseract, Paddle OCR)
- Could enhance the platform's data input capabilities for automated trading workflows
- May be useful for processing trading receipts or financial documents
Benefits
- Streamlines data entry workflows
- Reduces manual transcription errors
- Improves efficiency in processing financial documents
- Expands platform capabilities for users working with trading documentation
Source: myhhub/stock