Explore
Pay as you go
- Proprietary advanced parsing models
- Field extraction with long schemas
- Visual grounding with fine-grained citations
- Document splitting, classification and sectioning
- Multilingual, multiformat documents
Overview
LandingAI specializes in Agentic Document Extraction (ADE), a platform designed to transform any document into structured, production-ready data. It leverages proprietary vision models to reliably extract information from complex layouts, dense tables, and multi-page documents, ensuring high accuracy and consistent results even with layout variability across scans and mixed content types.
The platform provides an end-to-end API for parsing, splitting, and extracting structured data. Key functionalities include converting documents into LLM-ready Markdown with preserved layout hierarchy, precise citations for every content block, and automatic segmentation of multi-document files. Users can define custom schemas for field extraction, including large tables spanning multiple pages, with auditability provided by bounding-box citations for each value.
LandingAI's outputs are designed to power downstream workflows such as retrieval-augmented generation (RAG), automation for reconciliation and compliance checks, and turning document archives into queryable datasets. It is built for regulated environments, offering enterprise-grade security (SOC 2 Type II, GDPR & HIPAA compliance) and flexible deployment options including cloud, on-premises, and virtual private deployments, with zero data retention capabilities.
Key features
- Agentic Document Extraction (ADE) for high accuracy
- Vision-first models for complex layouts and tables
- End-to-end REST APIs with Python/TypeScript libraries
- LLM-ready Markdown with layout-aware structure and citations
- Automatic document segmentation and classification
- Schema-first extraction for custom fields and large tables
- Auditability with bounding-box citations and confidence scoring
- Enterprise-grade security (SOC 2 Type II, GDPR & HIPAA)
- Flexible deployment options (cloud, on-premises, virtual private)
Who uses it
LandingAI targets enterprise developers, data scientists, and product managers in regulated industries such as financial services, healthcare, insurance, and legal, who need to build scalable and auditable document automation pipelines.
Pros
- Delivers high accuracy on complex, real-world documents including tables and multi-page layouts.
- Provides full auditability with precise citations and confidence scores for extracted data.
- Offers unmatched speed and scalability, processing thousands of pages per minute.
- Designed with enterprise security and compliance in mind (SOC 2 Type II, GDPR & HIPAA).
- Supports flexible deployment options including cloud, on-premises, and virtual private environments.
Cons
- Pricing is enterprise-focused and requires contacting sales for a custom quote, which may not suit smaller businesses.
- Primarily an API-driven solution, requiring development resources for integration and pipeline building.
- The platform's advanced features and agentic design may involve a learning curve for new users.
- Focuses heavily on document processing, potentially limiting its scope for broader AI automation tasks.
Our take
LandingAI provides a robust, API-driven solution for enterprises seeking to automate intelligent document processing with high accuracy and strong governance. Its agentic design and vision-first approach make it suitable for complex, regulated environments requiring auditable and scalable data extraction from diverse document types.
Pricing plans
Team
From $250/month
- Everything in Explore, plus:
- Team management and shared usage
- Email support
- Zero data retention available
- HIPAA-compliant processing with BAA
Enterprise
Custom
- Everything in Team, plus:
- SaaS, VPC, and on-prem deployments
- Dedicated support
- SLAs and uptime guarantees
- Priority rate limits
Pricing details are provided for reference and may differ from the vendor's current plans.
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