Collect or forward your emailed authorised release certificate to your Nanonets Inbox.
Snap a picture and Nanonets will take care of the rest.
Accurately capture predefined labels with Artificial Intelligence. Reconcile data across sources.
Automate Manufacturing workflows/processes and more.
Here are some fields Nanonets can extract by default. Say goodbye to manual data entry. Additional fields can also be extracted on request.
Learn more about authorised release certificate automation & how Nanonets can help.
Automated data extraction from Authorised Release Certificates (ARCs), such as EASA Form 1 or FAA 8130-3, involves using advanced technologies to automatically capture, read, and extract specific information from these critical aviation documents. This process digitizes and streamlines what was traditionally manual data entry.
This automation typically includes:
Automated ARC data extraction reduces manual labor, minimizes errors, accelerates processes, and enhances regulatory compliance for airlines, MROs, and manufacturers in the highly scrutinized aviation industry.
An Authorised Release Certificate (ARC), commonly EASA Form 1 or FAA Form 8130-3, is a vital document in aviation. It certifies aircraft parts, components, or articles for airworthiness or "Return to Service" (RTS) after maintenance.
Purpose of an ARC:
Why its Data Extraction is Important:
Automating data extraction from ARCs is critical for:
Leveraging automated solutions like Nanonets for ARC data extraction ensures high accuracy, enhancing safety, compliance, and operational efficiency across the aviation ecosystem.
The accuracy of OCR for extracting critical data from Authorised Release Certificates (ARCs) varies significantly by format and quality. However, advanced AI-driven OCR combined with Intelligent Document Processing (IDP) offers remarkably high accuracy, often exceeding manual capabilities for challenging ARC formats.
Expected accuracy:
Crucially, leading IDP platforms like Nanonets continuously improve accuracy through adaptive learning. Human corrections during validation refine AI performance for future ARCs, making the system increasingly precise.
Advanced Intelligent Document Processing (IDP) solutions are specifically designed to accurately identify and extract a comprehensive range of data fields from Authorised Release Certificates (ARCs), like EASA Form 1 and FAA 8130-3. These solutions understand the context and structure of these specialized aviation documents.
An AI-powered IDP platform like Nanonets can automatically extract virtually all critical data fields from an ARC:
How IDP Solutions Achieve This: Nanonets uses sophisticated ML algorithms trained on aviation documents. This allows AI to understand context, handle layouts agnostically, process scanned/handwritten data (using advanced OCR and HTR), and allows for customization for unique fields/annotations. This granular, accurate data extraction transforms unstructured ARCs into structured, actionable information, ready for integration into MRO software, ERPs, and compliance databases.
Automated data extraction from Authorised Release Certificates (ARCs) significantly improves compliance with stringent aviation regulations (FAA, EASA) by enhancing data integrity, traceability, and accountability. Non-compliance risks severe consequences.
How automation bolsters compliance:
By integrating intelligent automation for ARC data extraction, aviation organizations build a more secure, transparent, accurate, and consistently compliant operational framework, mitigating regulatory risks and enhancing safety.
Airlines, MROs (Maintenance, Repair, and Overhaul providers), and aerospace manufacturers extensively use automated Authorised Release Certificate (ARC) workflows to transform operations, ensuring compliance, enhancing efficiency, and improving safety.
How they leverage these workflows:
Automated ARC workflows, powered by IDP platforms like Nanonets, are a critical digital backbone for efficient, compliant, and safe operations across the aviation supply chain.
Automated Authorised Release Certificate (ARC) data extraction solutions integrate deeply and seamlessly with existing MRO (Maintenance, Repair, and Overhaul) software or ERP (Enterprise Resource Planning) systems. This integration is crucial for ensuring vital aviation part data flows directly from ARCs into systems of record, eliminating manual entry and enabling end-to-end automation.
Common integration methods:
Automated ARC data extraction solutions like Nanonets integrate to ensure critical aviation part data flows seamlessly into MRO and ERP systems, providing real-time inventory visibility, accurate maintenance records, and robust compliance.
Automating data extraction from Authorised Release Certificates (ARCs) faces significant challenges due to their inherent complexity and variability. These challenges make traditional OCR or rules-based automation inefficient or inaccurate.
Common challenges:
Addressing these challenges requires a sophisticated AI-powered IDP solution like Nanonets, which can intelligently learn, adapt, and accurately extract data from the complex world of ARCs.
The "exception rate" for automated Authorised Release Certificate (ARC) processing, indicating documents requiring human review, varies. However, with leading AI-powered Intelligent Document Processing (IDP) platforms, the goal is a low single-digit rate for well-configured systems on legible documents.
Factors influencing exception rate:
Typical Expectation: For a well-implemented AI-powered IDP solution like Nanonets processing typical ARCs, expect a 5% to 15% exception rate for general fields. Critical fields might always undergo human review for 100% assurance due to regulatory requirements. The goal is 90% straight-through processing (STP) or higher for routine ARCs, minimizing human intervention to complex discrepancies.
When selecting an Authorised Release Certificate (ARC) automation platform for the highly regulated aviation industry, a robust set of features is crucial for accuracy, compliance, efficiency, and safety.
Key features:
By prioritizing these features, particularly the advanced AI and robust security of platforms like Nanonets, aviation organizations build highly effective, compliant, and transformative automation.