DeepTagger

DeepTagger Product Information

What is DeepTagger?

DeepTagger is a no-code platform that scales document analysis. It uses your example annotations to accurately pull information from new documents. Simply highlight the relevant data once, and the system handles the rest automatically. With API access, DeepTagger turns complex documents into structured, actionable data. Its features include a 'Highlight-and-Label' interface for training a robust AI, a template-free design for building custom models, nested data extraction for intricate documents, and a deep-reasoning AI with a Subjective Reasoning Engine that grasps context and interprets meaning, moving beyond basic data pulling. The platform works with numerous file types and formats, powering automated workflows for all kinds of documents.

How to use DeepTagger?

Using DeepTagger is a straightforward three-step process: 1. Upload: Begin by uploading your files—PDFs, Word documents, JPGs, PNGs, or text files—to their cloud platform. 2. Highlight & Label: Train the AI on the exact data you need using the intuitive 'Highlight-and-Label' tool. No coding or complex templates are required. 3. Predict & Export: Receive instant extraction results, make quick refinements, and export your processed data in seconds. You can start for free by processing up to 200 pages without providing credit card details.

DeepTagger's 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

DeepTagger's 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

FAQ from DeepTagger

What types of documents and file formats can DeepTagger process?

DeepTagger handles a broad array of documents, such as Financial Reports, Legal Contracts, Insurance Claims, Logistics Papers, Resumes, and any other custom document type. It supports multiple file formats including PDFs, Word documents, JPG and PNG images, and Text files.

What is DeepTagger's pricing model?

DeepTagger offers a 'Pay As You Go' plan with up to 200 free documents, a 'Production Scale' plan featuring volume discounts for expanding businesses, and an 'Enterprise' plan with custom pricing for large organizations. Pricing is transparent and based on tokens, with no hidden platform fees or per-user charges.

Can DeepTagger handle complex document structures and understand context?

Absolutely. DeepTagger is engineered to manage complex documents effortlessly. It supports nested structures to precisely extract data from documents with intricate layouts, such as invoices containing multiple line items. Powered by a core LLM, its Subjective Reasoning Engine understands context and interprets intent, delivering insights that go far beyond simple data extraction.

DeepTagger Company

DeepTagger Company name: DeepTagger .

DeepTagger Screenshot