Passenger airlines process enormous volumes of documents every day — aircraft technical logs, maintenance work orders, airworthiness directives, crew duty time records, load and trim sheets, ground handling reports, and passenger manifest declarations, the list goes on.
Slow or inaccurate document processing grounds aircraft longer than necessary, delays crew qualification decisions, and creates compliance exposure that disrupts operations at scale.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Every maintenance action, parts certification, and airworthiness directive compliance entry extracted from technical records is grounded to its precise source location, giving engineering and compliance teams a complete, auditable chain of documentation for every aircraft in the fleet.

Extracting training completion records, proficiency check results, and duty time logs from crew files manually is a bottleneck that delays crew assignments and adds administrative cost — automating that extraction gives crew planning teams accurate data to act on without the wait.

Airlines process load sheets, ground handling reports, and fuel uplift receipts for hundreds of departures daily; automating extraction from these documents reduces turnaround-related errors and gives operations teams real-time visibility into departure readiness.

Intelligent document processing across flight operations, maintenance and engineering, ground handling, and crew management is extremely difficult due to the sheer diversity of document types, the inconsistent layouts and the domain expertise required. Then add multiple languages, handwriting, photographs, scans and faxes to the complexity.
Accurate parsing of dense tables that span multiple pages and contain merged cells.
Single pipeline for image, slide, document, and spreadsheet file types with 1000+ pages.
Strong recognition of character-based languages, handwriting, checkboxes, stamps and signatures.
Schema-driven field extraction with visual grounding traceable to the original document.
Extract compliance data from aircraft technical logs, airworthiness directive records, maintenance work orders, and component overhaul reports to maintain a continuously current and auditable airworthiness record for each tail in the fleet.
Extract and validate training completion records, type rating certificates, proficiency check reports, and flight duty time logs from crew files to ensure every crew assignment meets certification and rest-period requirements.
Automate extraction of data from load and trim sheets, fuel uplift receipts, ground handling agreements, dangerous goods declarations, and departure control reports to support on-time departure and weight-and-balance accuracy.
Agentic Document Extraction enables passenger airlines to automate document-intensive processes that traditionally require manual review.
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
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ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →