Use the highlighted annotation interface to train AI to automatically extract the required data from various documents.
DeepTagger is a cloud-based document processing platform that uses advanced AI technology to allow users to easily train AI through a simple highlighting and annotation interface, thereby automatically extracting the required data from various documents. The importance of this product is that it greatly simplifies the document data processing process and improves work efficiency. Its main advantages include no need for code and complex templates, support for multiple file formats, the ability to build custom models, and the ability to perform nested data extraction and deep inference. Product background: Committed to solving problems faced by enterprises in document data processing. In terms of price, users can process documents up to 200 pages for free, and no credit card information is required. The product is positioned to provide efficient and convenient automated document data processing solutions for all types of enterprises.
Corporate financial personnel: Corporate financial personnel need to process a large number of financial reports and financial documents on a daily basis. DeepTagger can help them quickly extract key data from these documents, such as income, expenses, profits, etc., greatly improving the efficiency of financial analysis and report production.
Legal practitioners: Legal practitioners will be exposed to various legal contracts and legal documents. Using DeepTagger can quickly extract important information such as the terms, obligations, and deadlines in the contract, which will help them better conduct contract review and legal research.
Human resources experts: Human resources experts will receive a large number of resumes during the recruitment process. DeepTagger can automatically extract key information from resumes, such as work experience, educational background, skills, etc., so as to screen candidates more efficiently.
Logistics industry practitioners: The logistics industry involves numerous logistics documents, such as waybills, warehousing records, etc. DeepTagger can quickly and accurately extract logistics information, such as cargo information, transportation routes, delivery times, etc., helping to optimize logistics processes and improve operational efficiency.
Financial institutions: Use DeepTagger to extract key financial indicators, such as revenue, profits, assets and liabilities, etc., from quarterly financial reports for financial analysis and decision-making.
Law firms: Use this platform to quickly extract information such as terms, obligations, and responsibilities from legal contracts to assist lawyers in contract review and risk assessment.
Recruitment companies: Use DeepTagger to automatically extract candidates’ work experience, skills, educational background and other information from a large number of resumes to improve recruitment efficiency.
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