deepread
AI-native OCR platform for high-accuracy document data extraction with Human-in-the-Loop review.
Overview: DeepRead is an AI-native OCR platform that turns documents into high-accuracy data in minutes. Using multi-model consensus, DeepRead achieves 97%+ accuracy and flags only uncertain fields for Human-in-the-Loop (HIL) review—reducing manual work from 100% to 5-10%. Zero prompt engineering required. Key Features: - Text Extraction: Convert PDFs and images to clean markdown - Structured Data: Extract JSON fields with confidence scores - HIL Interface: Built-in Human-in-the-Loop review — uncertain fields are flagged (hil_flag) so only exceptions need manual review - Multi-Pass Processing: Multiple validation passes for maximum accuracy - Multi-Model Consensus: Cross-validation between models for reliability - Free Tier: 2,000 pages/month (no credit card required) How It Works: DeepRead uses a multi-model consensus approach to achieve high accuracy. Documents are processed in multiple passes, with each model validating the output. Uncertain fields are flagged for Human-in-the-Loop review. Use Cases: - Automate document data extraction for invoices, receipts, and other business documents - Enhance data accuracy and reduce manual review time - Integrate with existing workflows and applications for seamless document processing
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