LandingAI Agentic Document Extraction

LandingAI Agentic Document Extraction turns varied documents into structured data for teams building document-heavy workflows. It is best suited to organizations that need schema-driven extraction, source traceability and options to scale beyond a small credit allowance. Its audit signals and deployment choices stand out; credit costs and Enterprise requirements deserve close attention.

Overview

The product combines parsing and extraction for downstream workflows. Parse returns machine-readable content while retaining hierarchy and layout; Extract maps content to a defined schema and can reconstruct tables that span pages. Citations, page numbers and coordinates connect results to their source, while confidence scores can flag uncertain results for human review. That makes it a stronger fit for workflows where staff need to check how a value was derived than for jobs that only need unannotated text.

It handles PDFs, scans and images across languages, with files up to 1 GB. Mixed document support, classification, validation and workflow routing suit operational pipelines with varied inputs and downstream steps. LandingAI was founded by Andrew Ng in 2017 and is headquartered in Mountain View, California.

Key features

Traceable parsing and extraction

Parse preserves layout and hierarchy, with citations for content blocks and table cells. Extract returns schema-based data, reconstructs multi-page tables and links values to source locations. These capabilities help teams validate structured results against original documents; they are especially relevant in financial services, insurance, healthcare, energy and utilities, legal, and logistics workflows.

Production access and data controls

A REST API and Python and TypeScript libraries support production integration. Purchasing is also available through AWS Marketplace and Snowflake Marketplace. LandingAI says it is SOC 2 Type II compliant. HIPAA processing is supported on Team and Enterprise when zero data retention is enabled and a signed BAA is in place. With that option enabled, documents and intermediate processing data are deleted when processing finishes. These controls make the paid tiers more relevant to teams handling sensitive information than Explore.

Enterprise adds SaaS, VPC and on-premises deployment. Team has email support; Enterprise has dedicated support, SLAs and uptime guarantees. Email support is available Monday through Friday at [email protected].

Pricing

Explore — free

Explore includes one user seat, 1,000 free credits to start, community support and standard rate limits. Additional credits cost $1 for 100 credits. It is a practical way for a single user to assess a workflow, but the initial allowance and one-seat cap make it a poor fit for sustained or collaborative production use.

Team — $250 a month

Team is billed from $250 / month and includes 25,000–200,000 credits per month, unlimited user seats, email support, and access to zero data retention and HIPAA processing with a BAA. It is the sensible tier for teams that need shared access or those data controls, but the monthly floor and bounded credit range call for matching expected volume to the plan.

Enterprise — custom pricing

Enterprise is for more than 200,000 credits per month or custom infrastructure. It includes SaaS, VPC and on-premises deployment options, dedicated support, SLAs and uptime guarantees. The custom pricing and infrastructure focus suit organizations with scale or deployment requirements beyond Team, rather than small users seeking a low-cost starting point.

Platforms

LandingAI supports API, self-hosted and web access. The API and language libraries suit developers integrating extraction into existing systems, while Enterprise deployment options provide choices for organizations that need VPC or on-premises infrastructure.

Who it's for

Choose it when documents vary in format or language, extraction must follow a schema, and teams need to trace values back to source pages and coordinates. Its file-size ceiling, table reconstruction and review signals are relevant to high-volume or audit-conscious workflows. It is less compelling for a lone user with occasional needs beyond Explore's single seat and 1,000 starting credits, or for teams that cannot justify Team's monthly minimum.

Pros and cons

• Pro: Source citations, page coordinates and confidence scores help reviewers verify extracted values instead of accepting opaque output.
• Pro: Parsing covers PDFs, scans and images across languages, with files up to 1 GB and multi-page table reconstruction.
• Pro: Team and Enterprise combine zero data retention with HIPAA processing under a signed BAA, and Enterprise adds VPC and on-premises deployment.
• Con: Explore is limited to one seat and 1,000 starting credits, so it is a trial-sized allowance rather than a team plan.
• Con: Team starts at $250 / month, making it a substantial step up for users who need more than Explore but not a larger workflow.
• Con: Enterprise uses custom pricing, so organizations considering its infrastructure and support need to assess terms directly.

Alternatives

Transkribus is worth considering for readers who want a freemium option with a 50-credit free plan and Linux, macOS, web or Windows access. Doxis AI.dp may suit buyers seeking pay-as-you-go usage through €25 worth of free credit, with custom pricing beyond that. Veryfi API offers a free plan for up to 100 documents per month across document types, making its published allowance a clearer fit for modest monthly volume.

Cloudmersive OCR API is an alternative for readers comparing a free API tier with 600 calls per month and a 3.5 MB file limit. Nanonets Accounts Payable Automation is a more focused alternative for accounts-payable workflows, with a free Starter plan for up to three users. Reducto offers $150 in free usage and pay-as-you-go pricing afterward, which may appeal to buyers preferring usage-based costs.

Yandex Vision OCR is another option to compare. Amazon Textract AnalyzeExpense is worth considering for expense-document workflows, with a three-month AWS Free Tier for new customers covering up to 100 pages per month.

For broader browsing, see AI OCR Software, AI Document Processing Software and AI PDF Tools.

Verdict

LandingAI Agentic Document Extraction is a strong choice for teams that need structured extraction they can audit, particularly when documents are mixed, tables span pages or sensitive-data controls matter. Its main reason to choose is the combination of schema-driven output and source-level traceability; its main reason to look elsewhere is the credit and price step from the small Explore allowance to paid team use, followed by custom Enterprise terms at scale.