The perception that LandingAI has a smaller ecosystem than cloud document AI providers reflects an outdated picture. LandingAI Agentic Document Extraction (ADE) exposes a REST API callable from any language, official SDKs for Python and TypeScript, a Native App on the Snowflake Marketplace, cloud storage connectors for Amazon S3, Azure Blob Storage, and Google Cloud Storage, and a Builder Program of enterprise partners embedding ADE into their platforms.
REST API and SDKs
ADE's core is a REST API, so it integrates with any language, framework, or orchestration layer that can make an HTTP request. Two official client libraries add a higher-level interface.
- The Python library covers ADE's parsing and extraction APIs, with a wait helper that polls long-running jobs to completion.
- The TypeScript library covers the same surface for Node.js and TypeScript pipelines.
- Both retry connection errors and transient failures automatically with exponential backoff, and the retry count is configurable.
- Both ship async clients for teams running high concurrency.
- Both are generated from LandingAI's API specification, so they stay in sync with new endpoints as they ship.
API-First Extraction Returning Structured JSON
ADE returns structured JSON matched to a customer-defined extraction schema, with no per-document fine-tuning and no template editor or training pipeline.
- One schema applies across formats, so the same definition handles invoices from any issuer, contracts from any firm, or statements from any bank.
- Schemas are version-controlled independently of the extraction engine, so a schema change needs no model redeployment.
- Each extracted value carries source grounding locating it in the parsed text, which pairs with the parsed element to give the page and bounding box for verification against the original.
Prototype and validate schemas in the Schema Wizard before integrating, then call the same Extract API from the libraries or directly.
Cloud Storage Connectors
ADE accepts documents by URL reference as well as direct upload, so it works with the major cloud object stores without middleware.
- Reference documents in Amazon S3, Azure Blob Storage, or Google Cloud Storage by pre-signed URL.
- Asynchronous jobs can write results straight back to a pre-signed URL you control on any of the three, keeping large outputs inside your own storage.
- Retention of anything held in between is governed by your ZDR setting.
This URL-reference pattern keeps the storage layer under the pipeline's control: documents stay in existing data-lake infrastructure, and ADE reads from and writes back to it directly.
Snowflake Native App
ADE is available on the Snowflake Marketplace as a Native App exposing parse and extract as stored procedures callable from Snowsight SQL.
- Operates on documents staged in Snowflake or reachable at public URLs.
- Saves output to a Snowflake table you name, queryable with standard SQL, joinable with existing data, and usable in dbt models and BI connectors.
- Files are sent to the LandingAI-hosted service for processing and results return into Snowsight.
- The app requires ZDR to be switched off, so teams running ZDR should call the API or client libraries directly.
Downstream AI Pipeline Compatibility
- Parsing returns layout-aware Markdown that passes directly to any LLM as context, plus structured JSON carrying page and coordinate grounding for every element.
- Extraction returns typed JSON matching your schema, with each value traceable to its source.
- Because output is standard JSON and Markdown with no proprietary format, ADE drops into any vector store, RAG framework, or agent orchestration layer, including LangChain, LlamaIndex, custom agent pipelines, or direct LLM calls.
Builder Program and Partner Ecosystem
The Builder Program is a partner tier for organizations embedding ADE into their own platforms, offering priority support, early feature access, higher rate limits, and go-to-market resources. Named partners include:
- TCG Process, whose OCTO no-code automation platform integrated ADE as a native activity, per the OCTO integration write-up.
- phData, an enterprise data and AI consultancy building production AI with ADE.
- Eolas Medical, which built an agentic RAG answer engine for point-of-care clinical support, per the Eolas Medical case study.
Contact LandingAI through the enterprise contact page to apply.
Enterprise Deployments
A global Tier-1 bank runs ADE for know-your-customer client due diligence, processing multi-lingual corporate documents of 200 to 300 pages per client with a 40% to 60% reduction in manual review time, per the Tier-1 bank case study.
FAQ
Does ADE integrate with LangChain, LlamaIndex, or other orchestration frameworks?
ADE does not ship a native plugin for either, and integrates with both by design. Parsing returns standard Markdown and JSON that any orchestration framework consumes as document context or retrieval source, through the interfaces those frameworks already provide for structured text.
Is there an official integration beyond Snowflake?
The Snowflake Marketplace Native App is the current named data-warehouse integration. For Databricks, BigQuery, or Redshift, teams use the REST API or the client libraries and write results with standard connectors. Because output is typed JSON, any ETL tool that reads JSON handles the integration without custom transformation logic.
Can ADE integrate into no-code or low-code platforms?
Yes. TCG Process integrated ADE as a native activity in its OCTO platform through the Builder Program. Other platforms integrate via the REST API, with technical and go-to-market support available through the program.
How does ADE's integration surface compare to cloud provider services?
AWS Textract, Google Document AI, and Azure Document Intelligence each couple tightly to their own platform, which simplifies integration inside that ecosystem and adds friction for multi-cloud or on-premises architectures. ADE exposes a cloud-agnostic REST API, supports all three object stores equally, and deploys inside a customer VPC on any of the three major clouds.