Template Processing Method for Automatic Keyword Extraction
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Solution Overview
Problem
The manual process of setting search keywords for templates in print label production is labor-intensive and inconvenient, especially when dealing with templates containing various data formats like image and text data, which often cannot be utilized as search keys without manual input.
Innovation Solution
A template processing method that automatically extracts and associates text main body data from print objects as search keywords, allowing templates to be uploaded in a searchable form without manual keyword application, using a computer-readable recording medium and an operation terminal connected to a print label producing apparatus and a template server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If templates are uploaded with manually input search keywords, then templates can be searched efficiently, but operator labor load increases
Solution Approach 1:
The template data itself performs the search key generation function by automatically extracting text content from print objects. The system enables itself to create search keys without external manual intervention, allowing templates to 'self-service' the keyword extraction process through automated text recognition and extraction from various data formats within the template.
Solution Approach 2:
The search key extraction is performed in advance during the template upload process rather than requiring manual input afterward. The system proactively extracts text content from print objects and generates search keys before the template is stored, so that when operators need to search later, the work is already completed.
2Ease of operation
If automated text extraction is implemented, then manual keyword input is eliminated, but processing complexity increases
Solution Approach 1:
The system introduces an intermediary text extraction mechanism that bridges the gap between various data formats (images, barcodes, text objects) and the search key requirement. This intermediary process automatically converts diverse print object types into extractable text content, handling the complexity internally while presenting a simple interface to operators.
Solution Approach 2:
The template data structure is designed to handle multiple data formats (image data, barcode data, text objects) through a unified text extraction process. The system performs multiple functions - recognizing different data types, extracting text from each type, and generating search keys - all through a single automated workflow that works universally across various template contents.
Data Source
AI summary
This disclosure discloses a non-transitory computer-readable recording medium storing a template processing program for executing an editing accepting step, a template producing step, a text main body data acquisition step, and a template transmission step. In the template producing step, a template including at least one the print object is produced. In the search target setting step, a setting whether or not the print object included in the template is set to a key word search target is accepted. In the text main body data acquisition step, text main body data extracted from the print object to be set to the key word search target and expresses text contents of the print object, is acquired. In the template transmission step, the template is transmitted to a template server and stored therein.