About This Site
No-code AI platform for scalable, precise document data extraction. DeepTagger is a no-code platform that makes document judgment scalable by using user annotations as examples to extract information from new documents with precision. It allows users to highlight relevant data once, and the platform automates the rest. DeepTagger offers API access and is designed to transform complex documents into actionable data. It features a 'Highlight-and-Label' interface for training a powerful AI, a template-free design for custom AI models, nested data extraction capabilities, and a deep-reasoning AI with a Subjective Reasoning Engine that understands context and interprets intent, going beyond simple extraction. The platform supports various file types and formats, enabling automation workflows for diverse documents.
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Key Features AI
Core Features
No-code 'Highlight-and-Label' interface for AI training
Template-free design for building custom AI models
Nested data extraction for complex documents
Deep-reasoning AI with Subjective Reasoning Engine (understands context and intent)
API access included
Augmented Text Processing for precise position-based extraction
K-Score Analytics for 100-point confidence scoring
One-out Testing for automated validation and continuous accuracy improvement
Batch Prediction Engine for processing hundreds of documents
Advantages
Truly no-code experience, accessible to non-technical users.
High precision data extraction using augmented text processing and position markers.
Ability to handle complex, nested data structures.
AI continuously learns and improves with every validation (one-out testing).
Goes beyond simple extraction to understand context and interpret intent with LLM-powered Subjective Reasoning Engine.
Template-free design allows for building truly custom AI models without vendor dependency.
Transparent per-token pricing with volume discounts and no platform or per-seat fees.
Offers a generous free tier for up to 200 documents.
Comprehensive compliance support (SOC2, GDPR, HIPAA) for Enterprise clients.
缺点：Specific pricing for 'Production Scale' tier is not explicitly listed, requiring inquiry for volume discounts.
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