LandingAI Agentic Document Extraction

LandingAI Agentic Document Extraction converts documents into structured data for downstream workflows. Its Parse function produces machine-readable output while retaining document hierarchy and layout, with citations for content blocks and table cells. Parse accepts PDFs, scans, and images across languages, including files up to 1 GB. Extract creates schema-driven results, can reconstruct multi-page tables, and connects extracted values to their source locations. Page numbers, coordinates, and confidence scores help users review results and identify items for human attention. The product offers a REST API and Python and TypeScript libraries, with API, web, and self-hosted platforms. Explore is free and includes 1,000 credits to start; the listed rate is $1 for 100 credits. Team costs $250 a month, and Enterprise pricing is custom. Zero data retention is available on Team and Enterprise; HIPAA processing on those plans requires zero data retention and a signed BAA. Enterprise plans include SaaS, VPC, and on-premises deployment options.

LandingAI Agentic Document Extraction offers parsing and schema-based extraction with source references and review signals. Consider the credit model, plan requirements for zero data retention and HIPAA processing, and deployment options when evaluating it.

This product suits teams that need document contents structured for downstream workflows, especially where source references and review cues matter. API and library options may suit production workloads; Enterprise has multiple deployment choices.

LandingAI Agentic Document Extraction turns PDFs, scans, and images into structured data for downstream workflows. It suits teams that need schema-based extraction with traceable source locations and room to scale from a small credit allowance to custom infrastructure. Its strongest case is auditability across varied documents; the credit model and higher-tier requirements make plan fit central to the decision.

Overview

The product offers two related jobs: Parse converts a document into machine-readable content while retaining its hierarchy and layout, and Extract returns values in a defined schema. Citations, coordinates, and page numbers connect results back to the document, while confidence scores can flag items for human review. That combination is useful when teams need structured output they can verify, rather than text alone.

Document handling covers PDFs, scans, and images, including files up to 1 GB and documents across languages. Mixed document types, classification, validation, and workflow routing broaden its fit for operational pipelines. LandingAI was founded by Andrew Ng in 2017 and is headquartered in Mountain View, California.

Key features

Parsing and extraction

Parse preserves document structure and provides citations for content blocks and table cells. Extract maps content into a schema, reconstructs multi-page tables, and links each value to its source location. These features favor teams that need to trace extracted fields back to specific pages or table cells; they also make the product more than a basic OCR layer.

Review and production access

Page numbers, coordinates, and confidence scores give teams practical signals for checking results and routing uncertain output to people. A REST API plus Python and TypeScript libraries support production workloads. Purchasing through AWS Marketplace and Snowflake Marketplace can fit organizations already using those marketplaces.

LandingAI says it is SOC 2 Type II compliant. HIPAA processing is available on Team and Enterprise when zero data retention is enabled and a signed BAA is in place. With that setting enabled, documents and intermediate processing data are deleted when processing finishes. This is a meaningful option for sensitive workflows, but it depends on a paid plan and the stated conditions.

Pricing

Explore removes the recurring monthly commitment, but its single seat, starter credits, community support, and standard rate limits constrain collaborative or sustained production use. The $1 credit purchase provides a small incremental option, though credits remain the unit to budget against. Team raises the entry cost to $250 per month while adding substantial monthly credit ranges and unlimited seats. Enterprise is the tier for workloads above 200,000 monthly credits or custom infrastructure, with custom pricing.

Email support is listed for Team, and LandingAI says email support is available Monday through Friday. Enterprise adds dedicated support and service commitments. HIPAA processing and zero data retention are not Explore features, so teams that require those controls need at least Team and must enable zero data retention and sign a BAA for HIPAA processing.

Platforms

LandingAI offers web access, an API, and self-hosted availability. Enterprise adds SaaS, VPC, and on-premises deployment options, giving organizations with infrastructure requirements more control over where the product runs. Python and TypeScript libraries complement the REST API for application integration.

Who it's for

The clearest fit is a team that processes varied business documents and needs machine-readable output tied to its origin in the source file. Financial services, insurance, healthcare, energy and utilities, legal, and logistics are among the workflows LandingAI describes. The combination of mixed-document handling, classification, validation, and routing suits operations that need extraction to feed a broader workflow.

Explore makes sense for an individual starting with a small evaluation or low volume. Team is more appropriate for regular use across a group, particularly when zero data retention or HIPAA processing matters. Enterprise is aimed at high-volume organizations and those that need VPC or on-premises deployment, dedicated support, or SLAs. It is a weaker fit for buyers seeking a fixed, low monthly price or an unlimited free production allowance.

Pros and cons

Pros

• Traceable extraction: Citations, coordinates, page numbers, and source-linked values help reviewers verify output against the original document.
• Handles complex inputs: Support for scans, images, multiple languages, files up to 1 GB, and reconstructed multi-page tables suits varied document workflows.
• Practical path to scale: The plans progress from starter credits to high-volume custom infrastructure, while the API and libraries support production integration.
• Controls for sensitive processing: Team and Enterprise offer zero data retention, and HIPAA processing is available with that setting and a signed BAA.

Cons

• Team starts at a meaningful monthly commitment: The $250 per month entry price may be difficult to justify for small or irregular workloads.
• Explore is narrow for collaboration: One seat and 1,000 starter credits make it better for an individual evaluation than a shared ongoing workflow.
• Credits complicate cost planning: Explore sells credits at $1 for 100, while Team provides a monthly credit range; buyers must match usage to the credit allowance.
• Key privacy options require paid tiers: Zero data retention and HIPAA processing are not part of Explore, and HIPAA also requires a signed BAA.

Alternatives

• AI Document Processing Software is a useful category list for comparing document processing tools across the broader field.
• AI OCR Software is the category to browse when OCR is the main requirement.
• AI PDF Tools is a broader category list for readers whose needs center on PDF software.
• Veryfi Invoices OCR API is a freemium alternative with Android and iOS support as well as API and web access; its Starter plan is $500 a month with a $500 monthly minimum commitment and per-invoice pricing.
• Nanonets Accounts Payable Automation is a freemium API and web option with a Starter plan for up to three users and a $$100 monthly paid-usage plan for 100 credits.
• UiPath Document Understanding offers a no-cost Community plan for eligible users, capped at 50 documents per hour, two pages per document, and 4 MB per document.
• Unstract offers an open-source, self-hosted plan for one user with Slack community support, making it an alternative for readers considering a self-hosted starting point.
• Automation Anywhere Document Automation includes a free Community Edition for eligible small businesses, capped at five machines and 100 pages per month.
• Instabase offers a free AI Hub Community trial with $5 USD of usage, ending when the included units are used or after 92 days.
• Parseur has a free plan capped at 20 pages per month and one user, with 90-day document retention.
• Stipple offers free tender search and matching with no card or account required to start.

Verdict

LandingAI Agentic Document Extraction is a strong choice for teams that need structured extraction from varied documents and must be able to trace values back to their source. Its parsing, table reconstruction, and review signals are the main reasons to choose it. Look elsewhere if the $250-per-month Team entry point, credit budgeting, or paid-plan requirements for zero data retention and HIPAA processing do not fit your workload.