{"id":3382,"date":"2026-07-09T07:11:42","date_gmt":"2026-07-09T07:11:42","guid":{"rendered":"https:\/\/wp.graip.ai\/?p=3382"},"modified":"2026-07-09T07:13:09","modified_gmt":"2026-07-09T07:13:09","slug":"idp-in-manufacturing-turbocharging-your-operational-flow","status":"publish","type":"post","link":"https:\/\/graip.ai\/blog\/idp-in-manufacturing-turbocharging-your-operational-flow","title":{"rendered":"IDP in Manufacturing: Turbocharging Your Operational Flow"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"872\" height=\"529\" data-src=\"https:\/\/wp.graip.ai\/wp-content\/uploads\/2024\/10\/image-5.jpeg\" alt=\"\" class=\"wp-image-8250 lazyload\" data-srcset=\"https:\/\/graip.ai\/blog\/wp-content\/uploads\/2024\/10\/image-5.jpeg 872w, https:\/\/graip.ai\/blog\/wp-content\/uploads\/2024\/10\/image-5-768x466.jpeg 768w\" data-sizes=\"(max-width: 872px) 100vw, 872px\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 872px; --smush-placeholder-aspect-ratio: 872\/529;\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Manufacturing leaders often lose 5\u201310% of their production time to manual data entry and document errors. In a high-stakes environment where operational efficiency directly impacts the bottom line, manual document handling creates critical bottlenecks. This guide examines how intelligent document processing (IDP) transforms unstructured paperwork into transaction-ready data for enterprise systems. Implementing IDP in manufacturing allows teams to recover lost hours and maintain continuous production flow.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The transition from manual entry to AI-driven intelligence plays a central role in the digital transformation in manufacturing. We will explore specific applications in process and discrete manufacturing, focusing on SAP S\/4HANA integration and the reduction of unstructured data in supply chain workflows.<\/p>\n\n\n\n<div class=\"wp-block-yoast-seo-table-of-contents yoast-table-of-contents\"><h2>Table of contents<\/h2><ul><li><a href=\"#h-why-legacy-ocr-fails-modern-manufacturing\" data-level=\"2\">Why legacy OCR fails modern manufacturing<\/a><\/li><li><a href=\"#h-process-manufacturing-automating-compliance-and-quality\" data-level=\"2\">Process Manufacturing: Automating Compliance and Quality<\/a><ul><li><a href=\"#h-accelerating-batch-releases-with-automated-coas\" data-level=\"3\">Accelerating Batch Releases with Automated CoAs<\/a><\/li><li><a href=\"#h-ensuring-regulatory-adherence-for-msds\" data-level=\"3\">Ensuring Regulatory Adherence for MSDS<\/a><\/li><\/ul><\/li><li><a href=\"#h-discrete-manufacturing-managing-complex-engineering-data\" data-level=\"2\">Discrete Manufacturing: Managing Complex Engineering Data<\/a><ul><li><a href=\"#h-eliminating-production-delays-in-eco-processing\" data-level=\"3\">Eliminating Production Delays in ECO Processing<\/a><\/li><li><a href=\"#h-precise-sku-mapping-for-multi-page-boms\" data-level=\"3\">Precise SKU Mapping for Multi-Page BOMs<\/a><\/li><\/ul><\/li><li><a href=\"#h-integrating-idp-with-sap-s-4hana\" data-level=\"2\">Integrating IDP with SAP S\/4HANA<\/a><\/li><li><a href=\"#h-faq-idp-in-manufacturing\" data-level=\"2\">FAQ &#8211; IDP in Manufacturing<\/a><ul><li><a href=\"#h-how-does-idp-improve-manufacturing-efficiency\" data-level=\"3\">How does IDP improve manufacturing efficiency?<\/a><\/li><li><a href=\"#h-what-is-the-difference-between-ocr-and-idp-in-manufacturing\" data-level=\"3\">What is the difference between OCR and IDP in manufacturing?<\/a><\/li><li><a href=\"#h-how-to-integrate-idp-with-sap-s-4hana\" data-level=\"3\">How to integrate IDP with SAP S\/4HANA?<\/a><\/li><li><a href=\"#h-what-are-the-benefits-of-automated-bom-processing\" data-level=\"3\">What are the benefits of automated BOM processing?<\/a><\/li><li><a href=\"#h-how-does-idp-support-process-manufacturing-compliance\" data-level=\"3\">How does IDP support process manufacturing compliance?<\/a><\/li><li><a href=\"#h-how-to-reduce-order-to-cash-cycles-in-manufacturing\" data-level=\"3\">How to reduce order-to-cash cycles in manufacturing?<\/a><\/li><li><a href=\"#h-can-idp-handle-handwritten-manufacturing-logs\" data-level=\"3\">Can IDP handle handwritten manufacturing logs?<\/a><\/li><li><a href=\"#h-what-is-template-free-document-processing\" data-level=\"3\">What is template-free document processing?<\/a><\/li><\/ul><\/li><li><a href=\"#h-understanding-the-limitations-and-alternatives-of-idp\" data-level=\"2\">Understanding the Limitations and Alternatives of IDP<\/a><\/li><li><a href=\"#h-accelerating-your-manufacturing-data-flow\" data-level=\"2\">Accelerating Your Manufacturing Data Flow<\/a><\/li><\/ul><\/div>\n\n\n\n<h2 id=\"h-why-legacy-ocr-fails-modern-manufacturing\" class=\"wp-block-heading\"><strong>Why legacy OCR fails modern manufacturing<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Traditional optical character recognition (OCR) fails in modern factories because it relies on rigid templates that cannot handle the variability of industrial documents. Manufacturing involves a high volume of unstructured data from diverse suppliers, often including smudged ink, low-resolution scans, and handwritten notes. Legacy systems struggle with messy PDFs, skewed scans, and complex layouts. Intelligent document processing uses template-free document extraction to understand context rather than just reading coordinates. This approach yields structured data from messy PDFs without requiring manual intervention for every new supplier format.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The break-fix cycle of traditional OCR requires constant IT maintenance, whereas IDP relies on self-learning models that adapt to document variations over time. Evaluating OCR vs. IDP for factories is a critical decision for maintaining production speed. When systems fail to read incoming materials data, production lines are often associated with immediate delays.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Feature<\/strong><\/th><th><strong>Legacy OCR<\/strong><\/th><th><strong>Intelligent document processing (IDP)<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>Layout handling<\/strong><\/td><td>Fixed templates<\/td><td>Flexible, template-free document extraction<\/td><\/tr><tr><td><strong>Data understanding<\/strong><\/td><td>Text extraction only<\/td><td>Semantic context and meaning<\/td><\/tr><tr><td><strong>ERP integration<\/strong><\/td><td>Manual data export<\/td><td>Native API connections<\/td><\/tr><tr><td><strong>Accuracy<\/strong><\/td><td>Low on messy PDFs<\/td><td>High accuracy with self-learning<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 id=\"h-process-manufacturing-automating-compliance-and-quality\" class=\"wp-block-heading\"><strong>Process Manufacturing: Automating Compliance and Quality<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"872\" height=\"529\" data-src=\"https:\/\/wp.graip.ai\/wp-content\/uploads\/2024\/10\/image-4.jpeg\" alt=\"\" class=\"wp-image-8249 lazyload\" data-srcset=\"https:\/\/graip.ai\/blog\/wp-content\/uploads\/2024\/10\/image-4.jpeg 872w, https:\/\/graip.ai\/blog\/wp-content\/uploads\/2024\/10\/image-4-768x466.jpeg 768w\" data-sizes=\"(max-width: 872px) 100vw, 872px\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 872px; --smush-placeholder-aspect-ratio: 872\/529;\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Process manufacturing requires rigorous documentation to support safety and regulatory adherence. Managing Certificates of Analysis (CoAs) and Material Safety Data Sheets (MSDS) manually is a high-risk activity that is associated with compliance failures. Automating these workflows with IDP extracts chemical properties and batch data accurately, even when suppliers use different units of measure or languages. Implementing <a href=\"https:\/\/graip.ai\/process-manufacturing\">document automation for process manufacturing<\/a> provides teams with reliable data extraction. Deploying MSDS data extraction software helps maintain accurate safety records across the facility.<\/p>\n\n\n\n<h3 id=\"h-accelerating-batch-releases-with-automated-coas\" class=\"wp-block-heading\"><strong>Accelerating Batch Releases with Automated CoAs<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Certificate of analysis automation extracts data from supplier CoAs and validates it against internal specifications. The AI compares incoming chemical properties with required tolerances, flagging any deviations immediately. This validation process accelerates batch release times and maintains continuous production flow. As demonstrated in various <a href=\"https:\/\/graip.ai\/case-studies\">manufacturing automation case studies<\/a>, digitizing this workflow reduces the administrative burden on quality control teams.&nbsp;<\/p>\n\n\n\n<h3 id=\"h-ensuring-regulatory-adherence-for-msds\" class=\"wp-block-heading\"><strong>Ensuring Regulatory Adherence for MSDS<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Using AI to categorize and update safety documentation supports facilities in meeting strict regulatory requirements. GMP document automation creates a reliable digital audit trail for all incoming materials. The system reads complex chemical structures and hazard warnings, updating internal databases automatically. Deploying quality compliance logs AI tools maintains accurate historical records for safety audits.<\/p>\n\n\n\n<h2 id=\"h-discrete-manufacturing-managing-complex-engineering-data\" class=\"wp-block-heading\"><strong>Discrete Manufacturing: Managing Complex Engineering Data<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"872\" height=\"529\" data-src=\"https:\/\/wp.graip.ai\/wp-content\/uploads\/2024\/10\/image-6.jpeg\" alt=\"\" class=\"wp-image-8251 lazyload\" data-srcset=\"https:\/\/graip.ai\/blog\/wp-content\/uploads\/2024\/10\/image-6.jpeg 872w, https:\/\/graip.ai\/blog\/wp-content\/uploads\/2024\/10\/image-6-768x466.jpeg 768w\" data-sizes=\"(max-width: 872px) 100vw, 872px\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 872px; --smush-placeholder-aspect-ratio: 872\/529;\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Discrete manufacturing environments face unique challenges with highly complex engineering documents and multi-level bills of materials. Manual entry of Engineering Change Orders (ECOs) is associated with production delays and SKU mapping errors, especially when dealing with embedded tables and CAD references. IDP enables automated bill of materials processing to ensure engineering and production remain synchronized. Implementing <a href=\"https:\/\/graip.ai\/discrete-manufacturing\">discrete manufacturing automation<\/a> provides teams with accurate data extraction from complex technical drawings. An effective engineering change order workflow helps ensure that modifications reach the factory floor without administrative delays.&nbsp;<\/p>\n\n\n\n<h3 id=\"h-eliminating-production-delays-in-eco-processing\" class=\"wp-block-heading\"><strong>Eliminating Production Delays in ECO Processing<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">ECO processing automation extracts modification requirements from engineering drawings and updates the ERP automatically. The system identifies revised dimensions, material substitutions, and new assembly instructions from unstructured supplier files. This direct data transfer reduces the time between design approval and factory floor implementation.&nbsp;<\/p>\n\n\n\n<h3 id=\"h-precise-sku-mapping-for-multi-page-boms\" class=\"wp-block-heading\"><strong>Precise SKU Mapping for Multi-Page BOMs<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Precise SKU mapping AI handles multi-page bills of materials even when supplier formats vary significantly. The system cross-references manufacturer part numbers with internal inventory codes, identifying discrepancies before procurement begins. Integrating complex BOM extraction tools with a discrete manufacturing ERP maintains data integrity across the entire production lifecycle.<\/p>\n\n\n\n<h2 id=\"h-integrating-idp-with-sap-s-4hana\" class=\"wp-block-heading\"><strong>Integrating IDP with SAP S\/4HANA<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For many large manufacturers, the primary goal of IDP is to deliver transaction-ready data directly into SAP S\/4HANA. Native SAP S\/4HANA IDP integration helps reduce the need for middle-tier data staging or manual file uploads by utilizing direct API connections. This direct connection supports real-time synchronization of accounts payable automation SAP workflows and procurement data. Implementing SAP S\/4HANA document processing creates a single source of truth for all operational metrics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data validation rules within the IDP layer ensure that only highly accurate data enters the ERP. The system cross-references extracted values against existing SAP master data before posting any records. This validation process optimizes the overall ERP data flow and prevents downstream accounting errors. Generating transaction-ready data for ERP systems requires these strict validation protocols.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Key performance indicators for manufacturing automation include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reducing cost of goods sold (COGS) through administrative efficiency;<\/li>\n\n\n\n<li>Improving order-to-cash cycle automation speed;<\/li>\n\n\n\n<li>Decreasing manual data entry errors across departments;<\/li>\n\n\n\n<li>Enhancing SKU mapping precision for complex assemblies.<\/li>\n<\/ul>\n\n\n\n<h2 id=\"h-faq-idp-in-manufacturing\" class=\"wp-block-heading\"><strong>FAQ &#8211; IDP in Manufacturing<\/strong><\/h2>\n\n\n\n<h3 id=\"h-how-does-idp-improve-manufacturing-efficiency\" class=\"wp-block-heading\"><strong>How does IDP improve manufacturing efficiency?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Intelligent document processing (IDP) improves manufacturing efficiency by automating the extraction of data from unstructured documents like purchase orders and engineering change notices.<\/strong> This eliminates the manual data entry bottleneck that often delays production cycles. By converting paperwork into transaction-ready data for ERPs, teams can focus on quality control rather than administration. Research suggests that automation can recover up to 10% of lost production time.&nbsp;<\/p>\n\n\n\n<h3 id=\"h-what-is-the-difference-between-ocr-and-idp-in-manufacturing\" class=\"wp-block-heading\"><strong>What is the difference between OCR and IDP in manufacturing?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>The primary difference is that OCR merely converts images into text using fixed templates, while IDP uses AI to understand the context and meaning of the data.<\/strong> Manufacturing documents vary significantly between suppliers, making template-based OCR unreliable. IDP handles multi-page engineering drawings and complex bills of materials without pre-defined rules. This approach results in higher accuracy and less human intervention for messy industrial documents.<\/p>\n\n\n\n<h3 id=\"h-how-to-integrate-idp-with-sap-s-4hana\" class=\"wp-block-heading\"><strong>How to integrate IDP with SAP S\/4HANA?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Integrating IDP with SAP S\/4HANA is achieved via a native API connection that allows for direct, transaction-ready data transfer.<\/strong> The process typically involves mapping extracted document fields to specific SAP data structures. This ensures that invoices, POs, and CoAs are automatically reconciled within the ERP. Native integration reduces latency and maintains a single source of truth for operational data.<\/p>\n\n\n\n<h3 id=\"h-what-are-the-benefits-of-automated-bom-processing\" class=\"wp-block-heading\"><strong>What are the benefits of automated BOM processing?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Automated bill of materials (BOM) processing reduces production delays by ensuring that engineering changes are instantly reflected in procurement and assembly workflows.<\/strong> Key benefits of this approach include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reducing manual SKU mapping errors;<\/li>\n\n\n\n<li>Accelerating engineering change order implementation;<\/li>\n\n\n\n<li>Improving inventory accuracy through real-time ERP updates.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This level of operational precision remains critical for maintaining lean manufacturing standards across complex supply chains.&nbsp;<\/p>\n\n\n\n<h3 id=\"h-how-does-idp-support-process-manufacturing-compliance\" class=\"wp-block-heading\"><strong>How does IDP support process manufacturing compliance?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>IDP supports compliance by automating the extraction and validation of data from Certificates of Analysis (CoA) and Material Safety Data Sheets (MSDS).<\/strong> The system automatically flags discrepancies between supplier data and regulatory requirements. This creates a digital audit trail that is essential for GMP and ISO standards. Automated compliance workflows help reduce the risk of human error during batch release processes.<\/p>\n\n\n\n<h3 id=\"h-how-to-reduce-order-to-cash-cycles-in-manufacturing\" class=\"wp-block-heading\"><strong>How to reduce order-to-cash cycles in manufacturing?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Reducing order-to-cash cycles requires the automation of the entire RFQ-to-order workflow to eliminate manual hand-offs and data entry delays.<\/strong> By using IDP to process incoming customer requests instantly, manufacturers can generate quotes and sales orders in minutes. This acceleration improves cash flow and enhances customer satisfaction through faster delivery times. Strategic order-to-cash cycle automation addresses revenue leakage caused by slow administrative processing.&nbsp;<\/p>\n\n\n\n<h3 id=\"h-can-idp-handle-handwritten-manufacturing-logs\" class=\"wp-block-heading\"><strong>Can IDP handle handwritten manufacturing logs?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Modern IDP solutions can process handwritten manufacturing logs using advanced intelligent character recognition (ICR) models.<\/strong> While accuracy can vary based on legibility, the AI learns to interpret specific handwriting styles over time. This allows factories to digitize legacy paper logs and quality reports without manual re-typing. It is recommended to include a human-in-the-loop validation step for critical compliance data.<\/p>\n\n\n\n<h3 id=\"h-what-is-template-free-document-processing\" class=\"wp-block-heading\"><strong>What is template-free document processing?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Template-free document processing is an AI-driven approach that extracts data based on the semantic meaning of the text rather than its physical location on a page.<\/strong> Unlike traditional OCR, it does not require a pre-configured layout for every new supplier. The system understands that &#8220;Total Amount&#8221; and &#8220;Grand Total&#8221; refer to the same data point. This flexibility is essential for handling diverse paperwork.<\/p>\n\n\n\n<h2 id=\"h-understanding-the-limitations-and-alternatives-of-idp\" class=\"wp-block-heading\"><strong>Understanding the Limitations and Alternatives of IDP<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"872\" height=\"529\" data-src=\"https:\/\/wp.graip.ai\/wp-content\/uploads\/2024\/10\/image-7.jpeg\" alt=\"\" class=\"wp-image-8252 lazyload\" data-srcset=\"https:\/\/graip.ai\/blog\/wp-content\/uploads\/2024\/10\/image-7.jpeg 872w, https:\/\/graip.ai\/blog\/wp-content\/uploads\/2024\/10\/image-7-768x466.jpeg 768w\" data-sizes=\"(max-width: 872px) 100vw, 872px\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 872px; --smush-placeholder-aspect-ratio: 872\/529;\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">While IDP is highly effective, it is not a magic solution that works instantly without configuration. Initial accuracy for highly unique, one-off documents typically requires a brief training period. Research indicates the need for high-quality scans to achieve maximum extraction rates. Implementing these systems requires careful planning to ensure the AI models understand specific industrial terminology.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Alternative approaches like electronic data interchange (EDI) offer standardized partner communication. While EDI is efficient for high-volume partners, IDP is often preferable for the long tail of suppliers who still rely on PDFs and emails. A hybrid approach often yields strong results for large enterprises. Combining structured EDI data with AI-extracted document data creates a comprehensive operational view.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Assessing internal workflows before implementation remains an essential step. Discussing specific ERP integration requirements with technical experts helps support a smooth data flow across all manufacturing departments.<\/p>\n\n\n\n<h2 id=\"h-accelerating-your-manufacturing-data-flow\" class=\"wp-block-heading\"><strong>Accelerating Your Manufacturing Data Flow<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Integrating IDP in manufacturing is no longer optional for those running SAP S\/4HANA who wish to remain competitive. Automating the transition from paper to data plays a role in reducing the cost of goods sold and accelerating production cycles. The return on investment from removing manual bottlenecks is substantial. Research suggests that digitized workflows provide a significant operational advantage.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"http:\/\/graip.ai\">Graip.AI<\/a> offers a practitioner-led solution for manufacturers seeking to automate the full RFQ-to-order workflow. The platform&#8217;s native SAP integration addresses the reader&#8217;s need for high data accuracy and operational speed. With Graip.AI, you can stop revenue leakage, remove document bottlenecks, and recover lost production time. Book a demo to see how Graip.AI transforms your manufacturing data flow.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Manufacturing leaders often lose 5\u201310% of their production time to manual data entry and document errors. In a high-stakes environment where operational efficiency directly impacts the bottom line, manual document handling creates critical bottlenecks. This guide examines how intelligent document processing (IDP) transforms unstructured paperwork into transaction-ready data for enterprise systems. Implementing IDP in manufacturing [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3368,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3,8,209],"tags":[223,16],"class_list":["post-3382","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-automation","category-idp","tag-documentautomation","tag-idp"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v19.0.1 (Yoast SEO v19.4) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to automate manufacturing document workflows with AI<\/title>\n<meta name=\"description\" content=\"Move past legacy OCR constraints. 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