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Intelligent Data Ingestion
![Depositphotos_616131280_L.jpg](https://static.wixstatic.com/media/9b8f8d_4c1b92095d7e4fe1b50b3515c6f0ee52~mv2.jpg/v1/fill/w_122,h_67,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/Depositphotos_616131280_L.jpg)
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Document Capture: Capture documents from multiple sources, including scanned paper documents, emails, digital forms, and more.
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Data Extraction: Extract structured and unstructured data from documents using OCR and NLP. This can include text, numbers, dates, and even contextual information
AI-Enabled Data Processing
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Data Validation and Verification: Include validation checks to ensure the accuracy of extracted data. This might involve cross-referencing information with databases or predefined rules.
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Document Classification: Classify documents into different categories based on their content, layout, or context. For example, it can distinguish between invoices, contracts, and receipts.
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Data Integration: Integrate extracted data with other software systems, databases, or workflows to automate further processing or data entry.
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- Data Transformation: Transform data into a structured format suitable for storage or analysis.
Automation And Reporting
![Depositphotos_626581070_DS.jpg](https://static.wixstatic.com/media/9b8f8d_525c74c3881f471fa8ed6046915bb23f~mv2.jpg/v1/crop/x_1294,y_0,w_7394,h_4418/fill/w_122,h_73,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/Depositphotos_626581070_DS.jpg)
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Workflow Automation: Trigger predefined workflows based on the content of documents. For instance, it can route invoices for approval, send notifications, or perform specific actions based on predefined rules.
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Analytics and Reporting: Analyze document processing performance and trends.