{"id":28567,"date":"2026-05-20T12:07:11","date_gmt":"2026-05-20T12:07:11","guid":{"rendered":"https:\/\/advanceworks.ai\/?p=28567"},"modified":"2026-05-21T09:58:54","modified_gmt":"2026-05-21T09:58:54","slug":"intelligent-data-extraction-from-documents","status":"publish","type":"post","link":"https:\/\/advanceworks.ai\/nl\/intelligent-data-extraction-from-documents\/","title":{"rendered":"Intelligent Data Extraction from Documents"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"28567\" class=\"elementor elementor-28567\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-48b1fdd e-con-full e-flex e-con e-parent\" data-id=\"48b1fdd\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-74cf013 e-con-full e-flex e-con e-parent\" data-id=\"74cf013\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-a0757e5 e-con-full e-flex e-con e-child\" data-id=\"a0757e5\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-edcf267 elementor-widget elementor-widget-heading\" data-id=\"edcf267\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Use Cases<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b66203f elementor-widget-mobile__width-inherit elementor-widget__width-initial dot-headings-all elementor-widget elementor-widget-einar_core_custom_font\" data-id=\"b66203f\" data-element_type=\"widget\" data-widget_type=\"einar_core_custom_font.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"qodef-custom-font-holder\">\n<h3 class=\"qodef-shortcode qodef-m  qodef-custom-font qodef-custom-font-515 qodef-layout--simple    qodef-title-break--disabled  qodef-decoration--circle \" style=\"color: #000000;font-size: 3vw\">\n\t\t\t\t\t\tIntelligent Data Extraction from Documents\n\t\t\n\t\t<span class=\"qodef-e-decoration\" style=\"color: #000000\"><svg class=\"qodef-svg--decoration-circle-big\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"45\" height=\"45\" viewBox=\"0 0 45 45\" fill=\"currentColor\"><path d=\"M22.5,45a21.9294,21.9294,0,0,1-8.7246-1.7471A22.8417,22.8417,0,0,1,1.7366,31.2358,21.5312,21.5312,0,0,1,0,22.5a22.0429,22.0429,0,0,1,1.7788-8.7358A22.952,22.952,0,0,1,6.6267,6.5947a22.5781,22.5781,0,0,1,7.1587-4.8472A21.858,21.858,0,0,1,22.5,0a21.9789,21.9789,0,0,1,8.7461,1.7476,22.4274,22.4274,0,0,1,7.16,4.8472,22.9154,22.9154,0,0,1,4.8262,7.1694A22.1723,22.1723,0,0,1,45,22.5a21.671,21.671,0,0,1-1.7246,8.7358,22.8132,22.8132,0,0,1-4.8379,7.17,22.5118,22.5118,0,0,1-7.18,4.8472A22.07,22.07,0,0,1,22.5,45Z\"\/><\/svg><\/span>\t<\/h3>\n<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5ea836c elementor-widget elementor-widget-text-editor\" data-id=\"5ea836c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\"><strong>Industry:<\/strong> Energy&amp;Utilities | <strong>Services:<\/strong> AI, Data<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2d422e2 e-con-full e-flex e-con e-parent\" data-id=\"2d422e2\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-3ebc07a e-con-full e-flex e-con e-child\" data-id=\"3ebc07a\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0d31b63 elementor-widget elementor-widget-image\" data-id=\"0d31b63\" data-element_type=\"widget\" data-settings=\"{&quot;sticky&quot;:&quot;top&quot;,&quot;sticky_on&quot;:[&quot;widescreen&quot;,&quot;desktop&quot;],&quot;sticky_parent&quot;:&quot;yes&quot;,&quot;sticky_offset&quot;:0,&quot;sticky_effects_offset&quot;:0}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1708\" height=\"2560\" src=\"https:\/\/advanceworks.ai\/wp-content\/uploads\/2026\/05\/Intelligent-Data-Extration-scaled.jpg\" class=\"attachment-full size-full wp-image-28572\" alt=\"\" srcset=\"https:\/\/advanceworks.ai\/wp-content\/uploads\/2026\/05\/Intelligent-Data-Extration-scaled.jpg 1708w, https:\/\/advanceworks.ai\/wp-content\/uploads\/2026\/05\/Intelligent-Data-Extration-200x300.jpg 200w, https:\/\/advanceworks.ai\/wp-content\/uploads\/2026\/05\/Intelligent-Data-Extration-683x1024.jpg 683w, https:\/\/advanceworks.ai\/wp-content\/uploads\/2026\/05\/Intelligent-Data-Extration-768x1151.jpg 768w, https:\/\/advanceworks.ai\/wp-content\/uploads\/2026\/05\/Intelligent-Data-Extration-1025x1536.jpg 1025w, https:\/\/advanceworks.ai\/wp-content\/uploads\/2026\/05\/Intelligent-Data-Extration-1366x2048.jpg 1366w, https:\/\/advanceworks.ai\/wp-content\/uploads\/2026\/05\/Intelligent-Data-Extration-8x12.jpg 8w\" sizes=\"(max-width: 1708px) 100vw, 1708px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-14ca7e4 e-con-full e-flex e-con e-child\" data-id=\"14ca7e4\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f5b4d0e elementor-widget elementor-widget-heading\" data-id=\"f5b4d0e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How we helped an Energy &amp; Utilities company eliminate hours of manual document processing by building an AI-powered extraction pipeline that turns contracts and scanned PDFs into structured, system-ready data in seconds.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-090043e elementor-widget elementor-widget-text-editor\" data-id=\"090043e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>About the project:<\/strong><span style=\"font-weight: 300;\"><br \/><\/span><\/p><p><span style=\"font-weight: 300;\">For organisations that deal with high volumes of contracts and compliance documents, data entry is a hidden tax on productivity. Staff spend hours reading through PDFs, pulling out key information manually, and entering it into systems: a process that is slow, inconsistent, and prone to error. When documents arrive in different formats, from different sources, the problem compounds.<\/span><\/p><p><span style=\"font-weight: 300;\">An Energy &amp; Utilities company came to AdvanceWorks with exactly this challenge. Their teams were bogged down in manual document analysis, data quality was inconsistent, and there was no centralised way to process or access information across the organisation. Critical data locked inside contracts and scanned documents wasn&#8217;t reaching the systems and dashboards where it was actually needed.<\/span><\/p><p><span style=\"font-weight: 300;\">AdvanceWorks designed and built an intelligent document extraction pipeline combining OCR and large language models (LLMs) to automate the full process end-to-end. Whether a document is a native digital PDF or a scanned paper contract, the pipeline reads it, extracts the relevant data, validates it, and delivers structured, standardised output ready for system integration. All document processing was consolidated into a single accessible application, and data from multiple sources now flows into one unified platform: feeding real-time Power BI dashboards that give decision-makers the visibility they need without waiting for manual reports.<\/span><\/p><p><strong>Goals achieved:<\/strong><\/p><ul><li>Operational efficiency: <span style=\"font-weight: 300;\">Staff are freed from time-consuming document analysis and manual data entry, redirecting their time to higher-value work.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/li><li>Error elimination: <span style=\"font-weight: 300;\">Automated extraction and validation removes the data-entry mistakes that previously introduced inconsistencies downstream.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/li><li>Centralised document processing: <span style=\"font-weight: 300;\">All contracts and documents are handled through a single, accessible application: no more fragmented workflows across teams.\u00a0<\/span><\/li><li>Unified data platform: <span style=\"font-weight: 300;\">Information from multiple document sources is consolidated into one platform, giving the organisation a consistent, reliable view of its data.<\/span><\/li><\/ul><p><strong>Results:<\/strong><\/p><p><span style=\"font-weight: 300;\">The impact was immediate and measurable. What previously took hours of manual effort now completes in seconds: a 95% improvement in processing efficiency. Accuracy increased significantly, with automated validation catching errors before they reach downstream systems.<\/span><\/p><p><span style=\"font-weight: 300;\">Real-time Power BI dashboards now surface the data that was previously trapped in documents, enabling faster, more confident decision-making across the organisation. And because the architecture is built to scale, the platform handles growing document volumes and supports multi-document processing without additional manual overhead.<\/span><\/p><p><span style=\"font-weight: 300;\">The shift goes beyond efficiency gains. The organisation has moved from a document-handling process that was a bottleneck to one that is an asset: structured, automated, and ready to support the data demands of a growing operation.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b10a6f2 e-con-full e-flex e-con e-parent\" data-id=\"b10a6f2\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a15958f elementor-widget elementor-widget-shortcode\" data-id=\"a15958f\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>How we helped an Energy &#038; Utilities company eliminate hours of manual document processing by building an AI-powered extraction pipeline that turns contracts and scanned PDFs into structured, system-ready data in seconds.<\/p>","protected":false},"author":2,"featured_media":28572,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[129],"tags":[143],"industryc":[],"class_list":["post-28567","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-use-cases","tag-other"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.4 - 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