About DeepTagger
DeepTagger is a no-code platform designed to scale your judgment by transforming document processing into an intuitive and efficient task. By leveraging a "Highlight-and-Label" interface, users can train the AI on the data they need without requiring technical expertise or pre-built templates. The platform uses your annotations as examples to extract and interpret information from new documents with precision, enabling the creation of custom AI models tailored to your needs.
Powered by a core large language model (LLM) and a Subjective Reasoning Engine, DeepTagger goes beyond basic data extraction to understand context and interpret intent, unlocking deeper insights from various document types. It supports complex, nested data structures, making it particularly effective for intricate documents like invoices with multiple line items. The cloud-based solution accepts all file types, allowing users to upload, annotate, predict, and export data seamlessly. With API access included, DeepTagger provides a scalable, template-free approach to document automation while delivering instant results and easy refinement.
💰 Pricing
DeepTagger offers transparent, consumption-based pricing with no platform fees or hidden costs. Users can start with up to 200 documents processed for free. Pricing tiers include Pay As You Go, ideal for beginners with features like document upload, visual annotation, advanced schema design, augmented text processing, and API access. Production Scale is suitable for growing businesses, offering volume discounts, K-Score analytics, batch prediction engine, and priority support. Enterprise plans are tailored for large organizations, featuring custom pricing, multi-tenant architecture, workflow automation, compliance frameworks, and 24/7 premium support. Costs are based on token usage, with volume discounts applied automatically as usage increases.
Information shown may be outdated. Found an error? Report it here