Document management software OCR solution
Sharp Marketing Japan Co., Ltd.
About This Product
■Smartly extract information from paper and support its utilization
Sharp's OCR solution supports your DX. By simply converting various paper documents into image data and sending it, we will accurately correct and extract the information and convert it into CSV data. Since the CSV format can be freely set, it can be flexibly linked with other systems. Our OCR solutions help you make the most of your information.
■Features
1. Simple form extraction settings
Supports search keywords, area specifications, and regular expression specifications. You can easily set up extraction of tabular forms.
2.Accurate information extraction
In addition to text correction using rule-based AI, we also support information correction and data conversion using our in-house master. Correct and extract accurate information.
3.Easy and effective operation
If you save the image data in a specific folder, it will automatically identify the form and start OCR processing. There is no need to sort the forms in advance.
4.Flexible external system linkage
The extraction results are output in CSV format. Since the CSV format can be freely configured, it can be flexibly linked with external systems.
5.Introduction in a short period of time
We provide clear implementation steps such as evaluation of form samples and trials. We support implementation decision-making and environment construction in a short period of time.
6.Reliable domestic packaging
Sharp original packaging provides friendly and quick support. You can use it with confidence even after installation.
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Product
Document management software OCR solution
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Handling Company
Sharp Marketing Japan Co., Ltd.
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Categories
1 Models of Document management software OCR solution
| Product Image | Part Number | Price (excluding tax) | Operating environment Compatible with Windows environment only |
|---|---|---|---|
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OCR solution |
Available upon quote |
Microsoft Windows 10/11 Microsoft Windows Server 2012 R2/2016/2019 FHD (1,920×1,080) recommended |
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