Deeptagger
To be verified
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.
- Instantly extract data from Financial ReportsTo be verified.
- Automate data extraction from Legal ContractsTo be verified.
- Process information from Insurance ClaimsTo be verified.
- Digitize data from Logistics DocumentsTo be verified.
- Extract key information from ResumesTo be verified.
- Build custom models for any other document typeTo be verified.
- 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.
