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The automated data extraction and document processing platform based on AI technology is able to quickly and accurately identify and extract key information from all types of documents, improving the efficiency of enterprise data processing.

Language:
en
Collection time:
2024-12-24
RossumRossum

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Rossum is an advanced automationdata extractioncap (a poem)file processingThe platform is designed to help enterprises quickly and accurately extract key information from various documents. Based on advanced artificial intelligence technology, the platform is able to intelligently recognize and process a variety of document types, including invoices, contracts, statements, etc., thus helping enterprises achieve efficient document management and data processing.

Key Features

  1. Automated data extraction: Rossum is able to automatically recognize and extract key information from documents, such as dates, amounts, names, etc., without manual intervention. This feature greatly improves the efficiency and accuracy of data processing.
  2. Document classification and identification: Rossum intelligently recognizes document types and automatically categorizes them based on document content. This helps organizations to better manage all kinds of documents and improve the efficiency of document processing.
  3. Data validation and cleansing: Extracted data undergoes Rossum's validation and cleansing process to ensure data accuracy and consistency. This helps to reduce data errors and duplicates and improve data quality.
  4. Template creation and management: Users can create customized document templates based on their business needs and manage these templates for subsequent use. This helps to improve the accuracy and efficiency of data extraction.
  5. Integration and Extension: Rossum provides a rich set of APIs and plug-ins for integration with other systems and tools, such as ERP, CRM, and so on. This enables Rossum to be easily integrated into an organization's existing IT architecture for seamless data processing flow.

Usage Scenarios

  1. Corporate Finance: Corporate treasurers can use Rossum to extract key information, such as amounts and dates, from invoices, reimbursement forms and other financial documents to streamline financial data entry and management processes.
  2. chain management: In supply chain management, Rossum can extract information from documents such as purchase orders and shipping documents to help organizations better track and manage all aspects of the supply chain.
  3. Human resources management: HR departments can use Rossum to extract employee information from documents such as resumes and onboarding forms, streamlining the hiring and onboarding process.
  4. Contract management: Corporate legal departments can use Rossum to extract key terms and dates from contracts to better manage and track contract performance.

Operating Instructions

  1. Register & Login: Users first need to register for an account on the official Rossum website and log in to the Rossum platform.
  2. Upload a document: Users can upload documents that need to be processed through the Rossum platform. Support a variety of document formats, such as PDF, Word, Excel, etc..
  3. Select a template or create a new one: Users can select an existing document template or create a new template based on business requirements. Template creation process, the user needs to specify the need to extract the information fields and location.
  4. Operational Data ExtractionRossum will automatically recognize the content of the document and extract the information according to the specified fields in the template.
  5. Viewing and Exporting Data: Once the data extraction is complete, users can view the results on the Rossum platform. If the results meet the requirements, users can export the data to Excel or other formats for subsequent processing.

In addition, Rossum provides detailed documentation and tutorials to help users better understand and use the platform. Users can get more help and support through the official website or customer service channels.

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