Sold by: LandingAI
API-first Agentic Document Extraction platform that turns messy, multi-modal documents and dark data into structured, auditable intelligence.
4.7
Overview
Enterprises depend on millions of unstructured documents - financial statements, medical forms, contracts, engineering drawings - that traditional OCR and LLM pipelines fail to handle. Without visual context or traceability, automation breaks, accuracy drops, and trust erodes.
Agentic Document Extraction (ADE) combines vision, reasoning, and validation to deliver enterprise-grade document intelligence. Powered by the Document Pre-trained Transformer (DPT-2), ADE interprets both what's written and how it's structured - grounding every extracted element visually and semantically for auditability and confidence.
ADE Parse, Split, and Extract APIs:
Convert complex, real-world documents into accurate, structured outputs
Work on any document type, no training or fine-tuning required
Provide visually grounded, verifiable outputs in Markdown and JSON
Integrate easily via REST APIs and Python or TypeScript libraries
For more information or to request a Private Offer, please contact Sales@Landing.ai .
Highlights
- Accurate on Complex Docs: Built for real-world documents with dense tables, multi-page layouts, and visual structures - not just clean OCR text.
- Auditable by Design: Every extracted value is grounded to its source with precise coordinates. Confidence scores highlight results that may require review.
- Autonomous at Scale: Process large document volumes with minimal human intervention while maintaining accuracy and traceability.
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
ADE Credits | Custom credit package for document processing. Contact Sales@landing.ai for information. | $10,000,000.00 |
Vendor refund policy
All fees are non-refundable. Contact Support@Landing.AI for questions.
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Customer reviews
Neil W.
Accurate, Powerful Document Extraction and a great business partnership!
Reviewed on Jun 09, 2026
Review provided by G2
What do you like best about the product?
Agentic Document Extraction from LandingAI has proven to be accurate, powerful, and easy to use. Furthermore the team at LandingAI could not have been more helpful in establishing the partnership between our two companies.
At TCG Process (), we focus on helping customers operationalise AI inside real business processes, with the reliability, transparency, scalability, and control needed for production environments.
LandingAI’s ADE fits that vision extremely well. With strong extraction results, grounding data, and confidence scoring, we can embed AI-powered document understanding directly into OCTO’s end-to-end process flows.
We have also wrapped the LandingAI API as a reusable activity inside OCTO’s low-code Process Modeler. That means OCTO users can add AI-based document extraction to a process without writing a single line of code, while still benefiting from orchestration, auditability, validation, and human-in-the-loop review where required.
For us, that combination is key: powerful AI extraction that is simple to use, easy to integrate, and ready to be operationalised within real business processes.
At TCG Process (), we focus on helping customers operationalise AI inside real business processes, with the reliability, transparency, scalability, and control needed for production environments.
LandingAI’s ADE fits that vision extremely well. With strong extraction results, grounding data, and confidence scoring, we can embed AI-powered document understanding directly into OCTO’s end-to-end process flows.
We have also wrapped the LandingAI API as a reusable activity inside OCTO’s low-code Process Modeler. That means OCTO users can add AI-based document extraction to a process without writing a single line of code, while still benefiting from orchestration, auditability, validation, and human-in-the-loop review where required.
For us, that combination is key: powerful AI extraction that is simple to use, easy to integrate, and ready to be operationalised within real business processes.
What do you dislike about the product?
Overall, we’ve had a very positive experience with LandingAI, and it has been great to see the pace of growth and improvement over the last year.
One area to watch is cost for simpler use cases. While the technology is strong, pricing can sometimes be challenging for smaller or more straightforward projects. That said, I know this is an area the LandingAI team is actively focused on, so I’m excited to see how this continues to progress.
One area to watch is cost for simpler use cases. While the technology is strong, pricing can sometimes be challenging for smaller or more straightforward projects. That said, I know this is an area the LandingAI team is actively focused on, so I’m excited to see how this continues to progress.
What problems is the product solving and how is that benefiting you?
Embedded inside our OCTO platform, LandingAI Agentic Document Extraction is helping us tackle complex document understanding challenges across areas such as hard-to-read payment receipts, complex sales orders, and detailed insurance documents.
It gives us a great option for intelligent extraction of complex document structures directly into end-to-end OCTO process flows, improving automation, data quality, and user confidence while making the capability reusable across different customer use cases.
It gives us a great option for intelligent extraction of complex document structures directly into end-to-end OCTO process flows, improving automation, data quality, and user confidence while making the capability reusable across different customer use cases.
PK M.
Landing AI ADE: Top Scores for Tables, Figures, Chunk Typing, and Scale
Reviewed on Jun 09, 2026
Review provided by G2
What do you like best about the product?
We ran a structured bake-off: the same five PDFs (ranging from a 12-page slide deck to a 400-page machinery manual) processed through Amazon Textract, Unstructured.io, and Landing AI's Agentic Document Extraction (ADE).
We scored each tool on four criteria:
- Table fidelity: are rows, columns, and cell values preserved as structured data?
- Figure extraction: are diagrams, charts, and images captured with bounding boxes?
- Chunk typing: does the tool distinguish headings, body text, tables, figures, forms, and marginalia?
- Scale: can it handle a 500-page document in a single pass without batching?
Landing AI ADE was the only tool that scored well on all four.
We scored each tool on four criteria:
- Table fidelity: are rows, columns, and cell values preserved as structured data?
- Figure extraction: are diagrams, charts, and images captured with bounding boxes?
- Chunk typing: does the tool distinguish headings, body text, tables, figures, forms, and marginalia?
- Scale: can it handle a 500-page document in a single pass without batching?
Landing AI ADE was the only tool that scored well on all four.
What do you dislike about the product?
Early on, we had some issues with longer-than-usual latency. We contacted them and engineering/customer service was super responsive and engineering resolved the issue with a hotfix overnight. Have not had issues since!
What problems is the product solving and how is that benefiting you?
Praxium's target customers upload documents that are common in industrial and regulated environments:
- Technical SOPs and machinery manuals — 50 to 500+ pages with embedded flowcharts, process diagrams, and annotated photographs.
- Regulatory training material — dense compliance matrices, specification tables, and multi-column layouts.
- Datasheets Slide decks (.ppt / .pptx converted to PDF) — visual-heavy content with minimal running text.
We use landing.ai to parse these documents at scale.
- Technical SOPs and machinery manuals — 50 to 500+ pages with embedded flowcharts, process diagrams, and annotated photographs.
- Regulatory training material — dense compliance matrices, specification tables, and multi-column layouts.
- Datasheets Slide decks (.ppt / .pptx converted to PDF) — visual-heavy content with minimal running text.
We use landing.ai to parse these documents at scale.
Nilanjan S.
Exceptional NER and OCR Accuracy Streamlines Workflows
Reviewed on Dec 09, 2025
Review provided by G2
What do you like best about the product?
I liked the NER detection with amazing accuracy. Secondly I also liked the OCR capability. Earlier I had to use pdf extractor for text and separate LLM with OCR capability to summarize images. Thirdly, i liked image boundary detection.
What do you dislike about the product?
There is nothing that i dislike but i would like some improvement in the accuracy of boundary detection of images as per prompt
What problems is the product solving and how is that benefiting you?
I am using LandingAI Agentic Document Extraction for creating pipeline to generate structured data from unstructured text
Gautam Y.
My experience of using landing ai
Reviewed on Mar 01, 2025
Review provided by G2
What do you like best about the product?
The prompts a of the ai is very easy to use and helpful to build
What do you dislike about the product?
It can improve the interface of the ai to make it more user-friendly
What problems is the product solving and how is that benefiting you?
It makes my work easy by creating apps for my workplace
Raman M.
Offers intuitive interface that allows users to create and test landing pages
Reviewed on Jan 14, 2025
Review provided by G2
What do you like best about the product?
It is very easy to use and customised. Landing AI offers an intuitive interface that simplifies setting up and managing AI models, making it accessible even for users with minimal technical expertise.
What do you dislike about the product?
The platform may lack deeper customization options for users with advanced AI knowledge who want to fine-tune models beyond standard settings.
What problems is the product solving and how is that benefiting you?
he platform accelerates the deployment of AI solutions, reducing time-to-market for machine learning models.