Layout-aware parsing
Produces LLM-ready Markdown and structured blocks for text, tables, and figures while preserving document hierarchy.
Document processing APIs for developers building structured, traceable data pipelines.
LandingAI provides Agentic Document Extraction (ADE), a document processing platform for developers and enterprise teams. Its APIs turn documents with variable layouts into structured data for business systems and AI applications. ADE combines document parsing, splitting, and field extraction, with source references that let teams verify results against the original pages. It supports complex tables, scans, forms, and multi-page documents.
Produces LLM-ready Markdown and structured blocks for text, tables, and figures while preserving document hierarchy.
Segments mixed PDF batches into classified sub-documents. Repeated identifiers, such as invoice numbers or order IDs, help distinguish individual document instances.
Extracts fields using flat or nested schemas, including arrays and multiple tables. Supports tables containing thousands of rows across many pages.
Provides page numbers, coordinates, table-cell grounding, and bounding-box citations for extracted values. Confidence scores help identify results requiring human review.
Modular REST APIs and Python or TypeScript libraries let developers incorporate document processing into existing applications and automation pipelines.
Processes multilingual documents and mixed document types, supporting workflows that receive varied formats and layouts.
Capture financial figures, risk indicators, and transaction details from borrower documents to support underwriting and income reconstruction.
Convert financial documents into traceable inputs for KYC checks, compliance review, and regulatory reporting.
Use semantic document chunks as retrieval inputs for answer systems, including applications that search healthcare institutional content.
Turn archived documents into queryable datasets for search, reporting, and reconciliation workflows.
Explore offers pay-as-you-go usage at $1 per 100 credits, with 1,000 free starting credits and no credit card required. Team starts at $250 per month, with plans from 25,000 to 200,000 monthly credits. Enterprise has custom pricing. Credit consumption varies by API, model, service tier, and processing inputs.
Team and Enterprise support unlimited user seats and shared usage. API responses include credit_usage metadata, and the ADE Usage page lets organizations filter consumption by usage type or API key.
Enterprise offers SaaS, virtual private cloud, and on-premises deployments, alongside dedicated support, priority rate limits, SLAs, and uptime guarantees.
HIPAA support is available on Team and Enterprise. Organizations must enable Zero Data Retention and sign a Business Associate Agreement with LandingAI. With Zero Data Retention enabled, documents and intermediate processing data are deleted when the operation finishes.
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