LandingAI
Agentic document extraction APIs that parse, split and extract structured data from documents
Landing.ai
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What is LandingAI?
LandingAI offers a set of agentic APIs for intelligent document processing. Its Agentic Document Extraction converts documents such as scans, forms and dense tables into structured data and LLM-ready Markdown, with the layout hierarchy preserved.
The core building blocks are Parse, Split and Extract. Parse returns content blocks with citations including page and coordinates, Split segments multi-document files into classified sub-documents, and Extract pulls fields using a schema the user defines, with bounding-box citations for each value. Confidence scores flag results that may need human review.
The site lists industry pages for financial services, healthcare, insurance, energy, legal and logistics. Pricing is credit-based: pay-as-you-go credits with 1,000 free credits to start, team plans from $250 per month, and an enterprise option.
Pros & Cons
Pros
- Converts scans, forms and dense tables into structured data and LLM-ready Markdown.
- Extract returns bounding-box citations for each field, so values can be traced to the source.
- Confidence scores flag results that may need human review.
Frequently Asked Questions
We have no pricing information available now, so please check the LandingAI's website.
According to our latest information, this tool does not seem to have a lifetime deal at the moment, unfortunately.
LandingAI's Agentic Document Extraction handles complex documents such as scans, forms and dense tables. It converts them into structured data and LLM-ready Markdown while preserving the layout hierarchy. The site lists industry pages for financial services, healthcare, insurance, energy, legal and logistics.
Extract uses a schema that you define to pull out the fields you need. Each extracted value comes with bounding-box citations that show where it was found in the source. Confidence scores can flag results that may need a human check before they enter your system.
Parse returns content blocks with citations that include page and coordinates. Split handles files that contain several documents and segments them into classified sub-documents, which is useful when one upload bundles several separate documents. Both are part of LandingAI's core building blocks, alongside Extract, which pulls fields using a schema the user defines.
Yes. Parse returns content blocks with citations that include page and coordinates, and Extract adds bounding-box citations for each value it pulls out. These references let reviewers trace results back to the original document. For API parameters and current limits, check the official LandingAI website.
