DeepTagger is a no-code AI document automation platform designed to extract structured data from unstructured documents efficiently. Users can upload PDFs, Word files, images, or text files, highlight the fields they want, and instantly train AI models to extract similar information at scale. The platform streamlines workflows for finance, legal, insurance, logistics, and HR departments, improving efficiency and reducing manual effort. DeepTagger supports high-volume document processing, enabling organizations to handle complex data extraction tasks quickly. It eliminates errors associated with manual data entry and ensures consistency across datasets. The platform allows teams to focus on analyzing extracted data for insights and decision-making. DeepTagger integrates seamlessly into business operations, providing scalable automation for document-driven processes. Overall, it empowers organizations to convert any unstructured document into structured, actionable information effortlessly.

Key Features

• No-code AI platform for data extraction from documents

• Supports PDFs, Word, images, and text files

• Highlight and label fields to train AI instantly

• Ideal for financial reports, legal contracts, and insurance claims

• Scalable extraction workflows with reduced manual effort

• Ensures accurate, structured data for analytics and reporting

Industries

• Finance & Accounting

• Legal & Compliance

• Insurance & Risk Management

• Logistics & Supply Chain

• Human Resources & Recruitment

DeepTagger is ideal for organizations that need to automate data extraction from unstructured documents. For example, a finance team can process large volumes of invoices and financial reports quickly and accurately. Legal departments can extract key clauses from contracts for review or compliance. Insurance companies can streamline claims processing by automatically extracting details from forms and supporting documents. HR teams can process resumes and application forms efficiently. Logistics companies can extract shipment details from invoices and delivery documents. Users can highlight fields once and train AI to extract similar data at scale. The platform reduces errors, saves time, and improves operational efficiency. DeepTagger supports high-volume document workflows across industries. Teams can integrate extracted data into analytics, reporting, and business systems. It enhances decision-making by providing accurate, structured information. The platform is scalable and easy to use without coding expertise. Overall, it transforms unstructured content into actionable business data.