DeepTagger

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.

How to Use

Using DeepTagger involves three simple steps: 1. Upload: Start by uploading any file type (PDFs, Word Docs, JPG, PNG images, Text files) to their cloud-based solution. 2. Highlight & Label: Intuitively train the AI on the specific data you need using the 'Highlight-and-Label' interface, without requiring any code or complex templates. 3. Predict & Export: Get instant extraction results, refine them quickly, and export the processed data in seconds. Users can also get started for free by processing up to 200 pages without needing a credit card.

Key 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

Use Cases

• Instantly extract data from Financial Reports
• Automate data extraction from Legal Contracts
• Process information from Insurance Claims
• Digitize data from Logistics Documents
• Extract key information from Resumes
• Build custom models for any other document type