Nanonets

Checkout Nanonets – Document Data Capture and Automation Tool

Nanonets is a powerful tool that utilizes artificial intelligence (AI) to automatically extract data from semi-structured documents, reducing the need for manual data entry while improving accuracy through continuous learning capabilities. The platform enables users to upload and process files, integrate with workflows, and adhere to GDPR regulations during data extraction.

• Product Category: Productivity
• Product Pricing Model: Paid

• Data Analysts
• Business Intelligence Analysts
• Legal Professionals
• Operations Managers
• Compliance Officers

For Data Analysts

• Data Entry Automation: As a data analyst, one should use Nanonets to automate the process of extracting data from semi-structured documents such as invoices, contracts, and receipts, reducing the time and effort required for manual data entry.
• Data Validation: one should use Nanonets to validate the extracted data to ensure accuracy and completeness before further processing or analysis.
• Field Selection: one should use Nanonets to select only the necessary fields from documents, improving data quality and reducing errors in data extraction.
• Workflow Integration: one should integrate Nanonets with other tools for seamless document processing and exporting data.
• GDPR Compliance: one should ensure that Nanonets adheres to GDPR regulations by using its GDPR compliant features to protect sensitive information.

For Business Intelligence Analysts

• Automating Data Entry: Nanonets can be used to automate the process of extracting data from semi-structured documents such as invoices, contracts, receipts, and other financial statements, reducing manual data entry errors and saving time for business analysts.
• Validating Data Accuracy: The tool can validate extracted data to ensure that it is accurate and complete, improving the reliability of the information collected.
• Capturing Only Required Fields: Nanonets can be used to extract only the necessary fields from documents, reducing the amount of data that needs to be processed.
• Integrating with Workflow: Nanonets can integrate with existing workflows to streamline processes and improve efficiency.
• GDPR Compliance: The tool ensures that data extraction is done in a GDPR compliant manner, protecting sensitive information.

For Legal Professionals

• Contract review and analysis: Legal professionals can use Nanonets to automate the process of extracting key information from contracts such as names, dates, and other relevant details, reducing the time and effort required for manual data entry while ensuring accuracy and compliance with GDPR regulations.
• Compliance monitoring: Nanonets can be used to monitor compliance with data protection laws by automatically identifying sensitive information and redacting it before exporting data, ensuring that only necessary information is captured and stored securely.
• Legal research: Nanonets can automate the process of extracting relevant information from legal documents such as case files, statutes, and other legal documents to quickly find specific information needed for research purposes.
• Document management: Nanonets can be used to streamline document management by automatically categorizing and organizing documents based on their content, making it easier to search and retrieve them when needed.
• Legal document review: Nanonets can automate the process of reviewing legal documents such as employment contracts, lease agreements, and other legal documents to ensure compliance with relevant laws and regulations.

For Operations Managers

• Automating Data Entry: As an Operations Manager, one should use Nanonets to automate the process of extracting data from semi-structured documents such as invoices, contracts, and purchase orders, reducing manual data entry errors and increasing efficiency in team’s productivity.
• Validating Data Accuracy: one should use Nanonets to ensure that the extracted data is accurate by using its validation feature to check for errors and inconsistencies in the data before it is entered into our system.
• Capturing Only Needed Fields: one should use Nanonets to extract only the necessary fields from documents, reducing the amount of data that needs to be processed and increasing data accuracy.
• Integrating with Workflow: one should integrate Nanonets with our existing workflow to streamline document processing and improve data flow.
• Ensuring GDPR Compliance: one should use Nanonets’ GDPR compliant data extraction feature to ensure that we are in compliance with data privacy regulations.