📈 Business

DeepTagger

Use the highlighted annotation interface to train AI to automatically extract the required data from various documents.

#Document processing
#No code platform
#AI data extraction
DeepTagger

Product Details

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.

Main Features

1
Users can use the highlighting and annotation interface provided by the platform to intuitively train the powerful AI, allowing it to accurately extract the data users need without writing code or using complex templates.
2
The platform supports uploading any file type, such as PDF, Word documents, JPG images, PNG images, text files, etc. The cloud-based solution is able to receive all documents to build automated workflows.
3
After completing data training, the platform can quickly provide prediction results, and users can quickly optimize the results and export the extracted data within seconds for subsequent use.
4
The platform can instantly extract data from various documents such as financial reports, legal contracts, insurance claims, logistics documents, resumes, etc. to meet the information acquisition needs in different scenarios.
5
It is a completely template-free platform that allows users to build truly customized AI models for any document, getting rid of dependence on templates provided by vendors and fully meeting personalized needs.
6
With core large language models (LLMs), the platform's subjective reasoning engine is able to go beyond simple data extraction to understand the context of documents and interpret their intent to unearth deeper insights.
7
The platform supports nested structures and can accurately handle complex documents, such as invoices with multiple line items, ensuring the accuracy and completeness of data extraction.

How to Use

1
Step 1: Upload the document. Users can use the platform to upload any type of file, and its cloud-based solution is able to receive a variety of documents, ready for subsequent building of automated workflows.
2
Step 2: Highlight and annotate. Use the intuitive highlighting and annotation interface provided by the platform to label the required data to train the AI ​​to understand the user's data extraction needs. There's no need to write code or use complex templates during this process.
3
Step 3: Prediction and export. After completing data training, the platform will immediately provide prediction results. Users can quickly optimize the results and export the extracted data within seconds for subsequent processing and use.

Target Users

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.

Examples

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.

Quick Access

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Categories

📈 Business
› document
› Model training and deployment

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