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OCR TextInput Base
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OCR TextInput Base
Developed by rohit5895
A specialized image-to-text model for the financial domain, supporting English text recognition, primarily used for processing image content in financial documents.
Downloads 31
Release Time : 5/13/2024
Model Overview
This model is mainly used to convert image content in financial documents into text, supports the English language, and uses Character Error Rate (CER) as the evaluation metric.
Model Features
Specialized for Financial Domain
Optimized for image-to-text tasks in financial documents, enabling more accurate recognition of financial-related text content.
Low Character Error Rate
Uses Character Error Rate (CER) as the evaluation metric to ensure the accuracy of text recognition.
Model Capabilities
Image to Text
Financial Document Processing
English Text Recognition
Use Cases
Financial Document Processing
Bank Note Recognition
Convert image content in bank notes into editable text format.
Improves note processing efficiency and reduces manual entry errors.
Financial Statement Conversion
Convert scanned financial statement images into structured text data.
Facilitates subsequent data analysis and storage.
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