A Material Test Report (MTR), also known as a Mill Test Certificate (MTC), is the certified record detailing a material’s exact physical and chemical properties as manufactured. This document is the foundational proof for compliance with standards like ASME and ASTM.

Doc AI MTR is critical because MTRs arrive in hundreds of non-standard formats, making manual data extraction and compliance review inefficient and highly prone to human error. Our platform uses deep learning AI to instantly standardize, validate, and process this complex data, ensuring 100% accurate compliance and freeing quality teams from tedious checks.

Our intelligent engine is trained on millions of MTRs globally and extracts all essential data fields with high precision, including:

• Material Traceability: Heat Number/Code, Lot Numbers, Purchase Order (PO) references.
• Chemical Composition: Accurate percentage values for elements like $C$, $Cr$, $Ni$, $Mo$, $P$, $S$, and others, often reported in complex table formats.
• Mechanical Performance: Key metrics such as Tensile Strength, Yield Strength, Impact Test Results, and Hardness readings.
• Metallurgical Details: Material Grade, Specification Year, Edition, and any applied Heat Treatment processes (e.g., normalizing, quenching).

The Heat Code is the core data element for digital traceability. Doc AI MTR immediately registers this code upon document ingestion and uses it to establish an auditable, secure digital chain:

• Source Verification: The code links the material directly to its origin and primary mill certification data.
• Inventory Integration: The extracted Heat Code is automatically mapped to your internal inventory management system (ERP/MES), ensuring that the physical material matches the verified digital record.

This feature eliminates the common failure point of manually mismatching physical material tags with paper documentation, safeguarding your supply chain integrity.

Yes, our system is built on state-of-the-art **Intelligent Document Processing (IDP)** technology, specifically designed to overcome these common challenges:

• Scanned & Image Files: The platform uses powerful **Optical Character Recognition (OCR)** to accurately read data from low-resolution scans, images, or even faxed documents.
• Format Variability: It identifies data fields by context and location, allowing it to accurately extract information from completely custom or non-standard MTR layouts, unlike template-based systems.
• Multi-Language Support: The AI can read and process documents in various languages, including German, French, Spanish, and more, ensuring seamless global supply chain operations.

This robust capability is key to eliminating the need for costly manual transcription or data entry for difficult documents.

Seamless integration is fundamental to the Doc AI MTR solution. We offer flexible options to ensure the validated data flows directly into your core systems:

• API Integration: We provide robust, modern RESTful APIs that enable real-time data transfer to major ERP platforms like **SAP**, **Oracle**, **Epicor**, and others, automatically updating material masters or inventory records.
• Custom Exports: Data can be exported in standardized formats (e.g., XML, JSON, CSV) for automated import by legacy or custom systems.
• Deployment Flexibility: Whether you prefer a cloud-native **SaaS solution** or a secure, on-premise installation to meet stringent data residency requirements, our platform is engineered for versatility.

This ensures validated data is immediately actionable across your purchasing, quality, and inventory teams.

Material Grade is the alphanumeric designation that defines a material's intended use and guaranteed minimum/maximum mechanical and chemical properties (e.g., Stainless Steel 316, ASTM A516 Grade 70). It is the blueprint for quality control.

The AI immediately identifies the Material Grade on the MTR, cross-references it with its extensive library of global standards (ASME, ASTM, EN), and uses the grade's specifications as the required tolerance limits for all subsequent chemical and mechanical property validations. If the material's actual values fall outside these mandated limits, a non-conformance is automatically flagged.

Absolutely. A core strength of the AI platform is its ability to perform "dual certification" or multi-spec validation. This is particularly valuable when a single batch of material must satisfy the requirements of two different governing standards (e.g., meeting both a US-based ASTM spec and a European EN standard).

The system allows you to define a validation profile that simultaneously checks the extracted MTR values against all required specifications, providing a single, consolidated compliance report that flags any failure across any standard.

No. Doc AI MTR is a force multiplier, not a replacement. It takes over the tedious, repetitive task of **data extraction, standardization, and pass/fail pre-screening**, a process that typically consumes over 70% of a QC engineer's time.

By automating this work, QC experts are freed to focus on high-value tasks, such as:

• Exception Handling: Investigating the 1-2% of MTRs flagged by the AI for non-conformance.
• Root Cause Analysis: Working with suppliers to resolve quality issues and prevent future errors.
• Process Optimization: Refining internal material handling and compliance workflows.

The platform ensures that human expertise is applied where it matters most: **making critical decisions**.

Data security and intellectual property protection are our highest priorities. We employ enterprise-grade security protocols, including:

• End-to-End Encryption: All data is encrypted both in transit (using TLS 1.2+) and at rest (using AES-256).
• Role-Based Access Control (RBAC): Access to MTRs and validation results is strictly governed by user permissions within your organization.
• Cloud Security Compliance: We adhere to industry-leading cloud security standards and often support compliance frameworks like **ISO 27001** and **SOC 2**.

Furthermore, your MTRs are used solely for processing your data and are never shared or used to train public models, ensuring your proprietary compliance information remains confidential.

The platform transforms the auditing experience by providing a centralized, tamper-proof repository of all MTRs and their validation results. Key audit readiness features include:

• Instant Packet Generation: Quickly generate compliance packets for any project or shipment, complete with the original MTR, digital audit trail, and validation summary.
• Searchable Database: Auditors can search by Heat Code, PO number, material grade, or date range to instantly locate documentation.
• Digital Signature & Immutability: The platform ensures that all validation data is securely logged and cannot be altered, providing irrefutable proof of quality control.