DeepTagger

DeepTagger

DeepTagger is a no-code AI platform that enables automated document processing and information extraction through intuitive highlight-and-label training, powered by deep-learning and LLM technology.
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DeepTagger

Product Information

Updated:Sep 19, 2025

What is DeepTagger

DeepTagger is an innovative cloud-based document processing solution that combines artificial intelligence with a user-friendly interface to automate information extraction from various document types. It stands out from traditional document processing tools by eliminating the need for complex templates or coding knowledge, making it accessible to non-technical users while maintaining powerful capabilities for handling complex document structures.

Key Features of DeepTagger

DeepTagger is a no-code AI platform that combines document processing with intelligent information extraction capabilities. It allows users to train custom AI models through a simple highlight-and-label interface, processes various document formats, and leverages deep learning and large language models to understand context and extract relevant information from documents with high precision.
No-Code Interface: Features an intuitive 'Highlight-and-Label' UI that allows users to train AI models without technical expertise or coding knowledge
Template-Free Processing: Supports custom AI model building for any document type without requiring predefined templates
Subjective Reasoning Engine: Uses advanced LLM technology to understand context and interpret intent beyond simple data extraction
Nested Data Processing: Handles complex document structures with nested information, such as invoices with multiple line items

Use Cases of DeepTagger

Financial Document Processing: Extract and analyze information from financial reports, invoices, and other business documents
Named Entity Recognition: Identify and extract named entities from web-based ads queries and other text content
Clinical Record Analysis: Process and categorize medical records and clinical documentation with high precision

Pros

No technical expertise required for implementation
Highly customizable for different document types
Advanced AI capabilities with context understanding

Cons

May require initial training time for accurate results
Performance may vary with complex document structures

How to Use DeepTagger

Upload Documents: Upload your documents to DeepTagger's cloud-based platform. The system accepts multiple file formats.
Highlight & Label Data: Use the intuitive 'Highlight-and-Label' interface to train the AI by highlighting relevant information in your documents and adding appropriate labels. No coding required.
Train Custom AI Model: The system will build a custom AI model based on your highlighted examples and labels, without requiring any templates.
Process & Extract: The trained AI model will automatically process new documents and extract the labeled information, handling complex nested data structures.
Review Results: Review the extracted data and refine the model's predictions if needed.
Export Data: Export the extracted data in your preferred format for further use in other systems.

DeepTagger FAQs

DeepTagger is a no-code platform that helps automate document processing and information extraction. It uses AI to learn from user annotations and can automatically extract similar information from new documents.

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