Discover the incredible power of real-time image processing software diagnostics that provide Grooper architects a huge advantage in intelligent document processing.
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- Grooper
- Grooper Platform
- Grooper Features
- Document Capture - Manage fleets of scanners and maintain consistently accurate image quality
- Image Processing Software - Prepare images for optimal OCR
- OCR - Our patented OCR process generates the most accurate text from images and files
- Document Data Management - Easily process electronic content between multiple sources
- Document Classification - Automate intelligent grouping of content and documents
- Natural Language Processing - Learn how Grooper locates certain sentences or other language elements
- Data Integration Tools - Code-free integration makes getting data out of your electronic files a snap
- Infrastructure - Parallel processing and monitoring tools allow for fast and easy system management
- Transparent AI - Open system design ensures no mystery results and helps train users
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- Fintech Software - Use the power of AI to augment software and workflows, and integrate deep data
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- Contract Management Discovery Solutions - Enhance services and find new opportunities by advancing analytics reporting
- For Analytics & BI Platforms
- Integrate Unstructured Data - Integrate unstructured data from natural language documents and from dynamically changing forms
- Augmented Analytics - Improve decision making by leveraging the data once thought of as ‘inaccessible’
- Add Deeper Data Discovery - Save valuable time – identify and classify information in data silos and file stores
- Data Science Workbench
- Data Cleansing Tools - Automate high quality data cleansing and integration with one solution
- Text Classification - Save crucial time in organizing text and data
- Text Extraction - Transform your enterprise with faster operations and better services
- Augmented Analytics - Improve decision making by leveraging the data once thought of as ‘inaccessible’
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Image Processing - the Secret to Better OCR
This session was recorded on: Thursday, May 28, 2020
