Document Processing in Interactive Media & Services
Streaming platforms, gaming publishers, and digital media networks process enormous volumes of documents every day — content licensing agreements, talent deal memos, royalty statements, sync licenses, co-production agreements, cue sheets, music clearance forms, vendor invoices, the list goes on.
Slow or inaccurate document processing delays content launches, corrupts royalty calculations, and creates compliance exposure across rights and privacy obligations.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Why Agentic Document Extraction for
Interactive Media & Services
Rights Data Without Manual Entry
Extracting key terms — territory, exclusivity window, revenue share, renewal options — from content licensing agreements and deal memos at scale eliminates the manual re-keying that slows rights clearance and introduces downstream errors.
Royalty Accuracy Across Complex Statements
Royalty statements from distributors, platforms, and performance rights organizations arrive in inconsistent formats with dense tables; accurate extraction reduces reconciliation time and surfaces discrepancies before they become disputes.
Audit-Ready Traceability
Every extracted value is grounded to its precise location in the source document, giving legal, finance, and compliance teams a defensible record for rights audits, royalty disputes, and regulatory review.
Built for Complex Interactive Media Documents
Intelligent document processing across streaming and OTT platforms, gaming publishers, digital media networks, and music and podcast distribution 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.
Use cases
Content Rights & Licensing
Extract territory, exclusivity, term, revenue share, and renewal terms from content licensing agreements, co-production agreements, option agreements, and acquisition deal memos.
Accelerate content launch timelines by compressing rights clearance cycles
Reduce manual contract review hours and re-keying errors across legal and business affairs teams
Maintain a complete, auditable record of extracted rights terms for dispute resolution
Royalty Reconciliation
Process royalty statements, cue sheets, sales reports, and platform performance summaries from distributors, streaming services, and performance rights organizations to verify payment accuracy against contract terms.
Identify underpayment discrepancies faster, recovering revenue that would otherwise go undetected
Cut reconciliation cycle time by eliminating manual statement entry across formats
Produce structured, traceable records that support royalty audit rights without additional data preparation
Talent & Vendor Onboarding
Extract compensation terms, billing details, and compliance data from talent deal memos, crew agreements, vendor contracts, and tax forms to accelerate onboarding and ensure accurate payment setup.
Reduce time-to-first-payment for talent and vendors, lowering friction on production starts
Cut payroll and accounts payable errors driven by manual data entry from unstructured agreements
Ensure complete documentation for labor and tax compliance with structured, retrievable records
Trusted for Document-Heavy Interactive Media Workflows
Agentic Document Extraction enables streaming platforms and gaming publishers 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.”
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 →
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 →