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DeepTagger

No-code AI platform for scalable, precise document data extraction.

Source rating 5.0 (74) 0 views 0 saves Freemium
AI Document extraction No-code
More categories (10)
Data automation Information extraction Machine Learning LLM OCR Data processing Workflow automation Contextual understanding Scalable AI Data Digitization
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Verdict

A quick read before you dig into the full page.

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No-code AI platform for scalable, precise document data extraction
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Freemium · Free

Overview

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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Access & connections

Where you can use DeepTagger.

API

Public API available

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Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • 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
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  • Batch Prediction Engine for processing hundreds of documents

FAQ 7

What is 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 DeepTagger?
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.
What types of documents and file formats can DeepTagger process?
DeepTagger can process a wide range of documents including Financial Reports, Legal Contracts, Insurance Claims, Logistics Documents, Resumes, and any other custom document. It supports various file formats such as PDFs, Word Docs, JPG images, PNG images, and Text files.
Is DeepTagger a no-code platform, and how easy is it to use?
Yes, DeepTagger is designed as a truly no-code platform. Its 'Highlight-and-Label' user interface transforms AI training into a simple, intuitive annotation task, eliminating the need for specialized technical staff or complex templates.
How does DeepTagger ensure high accuracy in data extraction?
DeepTagger ensures high accuracy through several features: augmented text processing that uses position markers for precision, a K-Score validation system providing 100-point confidence ratings per field, and 'one-out testing' which continuously improves extraction accuracy as you use the system by turning every validation into training data.
What is DeepTagger's pricing model?
DeepTagger offers a 'Pay As You Go' plan which includes up to 200 documents free, a 'Production Scale' plan with volume discounts for growing businesses, and an 'Enterprise' plan with custom pricing for large organizations. Pricing is transparent and per-token, with no platform fees or per-seat charges.
Can DeepTagger handle complex document structures and understand context?
Yes, DeepTagger is built to process complex documents with ease. It supports nested structures to accurately extract data from documents like invoices with multiple line items. Leveraging a core LLM, its Subjective Reasoning Engine goes beyond simple extraction to understand context and interpret intent, unlocking deeper insights.
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