The Square 9 AI-powered intelligent information processing platform takes the paper out of work and makes it easier to get things done with digital workflows that automate many aspects of how you work today. We make it easy by extracting information from scans or PDFs, storing documents in a searchable archive, and building digital twins of your current processes through graphical workflows.
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Nutrient provides an extensive solution for all your PDF requirements, delivering tools that seamlessly operate PDF features across any platform.
1. SDK: Incorporate advanced PDF functionality into iOS, Android, Windows, web, or any cross-platform technology, supplying abilities like PDF viewing, annotation, collaboration, and beyond.
2. Libraries: Employ our powerful .NET and Java libraries to enhance your backend applications with batch processing of redactions and PDF forms, OCR'd scanned text, and PDF document editing, all directly from your application server.
3. Processor: Our agile PDF microservice, Processor, enables rapid generation of PDFs from HTML, including HTML forms, as well as Office-to-PDF conversions, OCR, redaction, and XFDF combining and exporting.
4. PDF API: Take advantage of our hosted PDF API to generate, convert, and alter PDF documents in your workflows. We handle the development and server management, freeing you up to concentrate on your business.
At Nutrient, we're not just a tool; we're a committed ally in your success. Gain direct contact with our engineers for expert guidance, utilize comprehensive examples to simplify integration, and make the most of our top-tier documentation.
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LandingAI
LandingAI Agentic Document Extraction (ADE) is a document intelligence platform that transforms documents into structured, auditable data through AI-powered extraction and processing capabilities. The platform is designed to process complex business documents, including contracts, financial statements, regulatory filings, forms, invoices, reports, and multi-page records with high accuracy. ADE combines vision-based AI, agentic orchestration, and data-centric learning to extract information while preserving document structure, layout, tables, headings, and contextual relationships. Every extracted data point includes confidence scores, source references, page numbers, and coordinate-based traceability to support validation and governance requirements. The platform provides APIs for parsing, splitting, and extracting information from documents, making it suitable for integration into enterprise workflows and applications. ADE supports retrieval-augmented generation (RAG), search, analytics, compliance automation, reporting, reconciliation, and document-driven business processes. LandingAI offers deployment flexibility through cloud, on-premises, and private environment options while supporting enterprise security requirements such as SOC 2 Type II, GDPR, HIPAA compliance, and zero-data-retention configurations. The platform is designed for organizations that need reliable, scalable document processing without sacrificing transparency or auditability. LandingAI enables businesses to automate complex document workflows while maintaining trust, compliance, and operational efficiency.
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Box Extract
Box Extract is an innovative data extraction tool powered by AI, designed to effectively pinpoint, gather, and transform structured data from unstructured sources, including documents, PDFs, spreadsheets, images, and various file formats into organized metadata that can be easily stored, searched, and utilized for streamlining business operations. This solution integrates advanced large language models, optical character recognition (OCR), chain-of-thought prompting, specialized retrieval-augmented generation, and reasoning techniques to achieve a deep understanding of document content and format with exceptional precision, all without the need for extensive model training or complicated configurations. Users have the option to select either Standard or Enhanced Extract Agents, which can manage everything from straightforward fields such as names and dates to intricate elements like risky clauses, tables, and graphs. Additionally, they can create Custom Extract Agents using configurable metadata templates, enabling large-scale operations across various folders and repositories. This flexibility ensures that businesses can tailor the solution to their specific needs, maximizing efficiency and effectiveness in data handling.
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