DeepTagger

Overview

Train AI models to extract data from documents automatically.

DeepTagger is a cloud-based platform designed for streamlined document processing and data extraction. Users can automate workflows by uploading various document types, including PDFs, Word files, images, and text files, to leverage a simple highlight-and-label interface that enables intuitive AI training without the need for complex coding.

The tool supports the extraction of data from a wide range of documents such as financial reports, legal contracts, and resumes, allowing users to build custom AI models tailored to their specific needs. With features like nested data extraction and a reasoning engine, DeepTagger provides deeper insights while efficiently handling complex document structures, reducing dependency on vendor templates.

Use Cases

• Automate the extraction of key metrics and insights from financial reports by uploading PDF documents to DeepTagger, allowing for faster decision-making without reliance on complex programming skills.
• Create custom AI models to process and analyze legal contracts, ensuring compliance and spotlighting critical clauses with ease through the intuitive highlight-and-label interface.
• Streamline the recruitment process by extracting relevant information from resumes and CVs efficiently, enabling HR teams to focus on top candidates without manual data entry burdens.

Pricing

Free trial available before committing to a paid plan.

• Start free trial: $5
• $5 free credits: $5
• Pay as you go: ~ $0.05 - $0.10 per document
• Pay per document: ~$0.05 - $0.10 per document (standard invoice/receipt)

Who Is It For

• Data analysts
• Automation engineers
• Document specialists
• Operations coordinators
• Information security