{"id":9172,"date":"2025-12-18T17:38:27","date_gmt":"2025-12-18T17:38:27","guid":{"rendered":"https:\/\/icaptur.ai\/resources\/?post_type=success-story&#038;p=9172"},"modified":"2026-08-21T04:46:31","modified_gmt":"2026-08-21T04:46:31","slug":"checklist-generation-and-dimension-extraction-for-a-major-steel-corporation","status":"publish","type":"success-story","link":"https:\/\/icaptur.ai\/resources\/success-story\/checklist-generation-and-dimension-extraction-for-a-major-steel-corporation\/","title":{"rendered":"Checklist Generation and Dimension Extraction for a Major Steel Corporation"},"content":{"rendered":"<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-9173\" src=\"https:\/\/icaptur.ai\/resources\/wp-content\/uploads\/2026\/08\/image-for-customer-story-steel-scaled-1.jpg\" alt=\"\" width=\"2560\" height=\"1010\" srcset=\"https:\/\/icaptur.ai\/resources\/wp-content\/uploads\/2026\/08\/image-for-customer-story-steel-scaled-1.jpg 2560w, https:\/\/icaptur.ai\/resources\/wp-content\/uploads\/2026\/08\/image-for-customer-story-steel-scaled-1-300x118.jpg 300w, https:\/\/icaptur.ai\/resources\/wp-content\/uploads\/2026\/08\/image-for-customer-story-steel-scaled-1-1024x404.jpg 1024w, https:\/\/icaptur.ai\/resources\/wp-content\/uploads\/2026\/08\/image-for-customer-story-steel-scaled-1-768x303.jpg 768w, https:\/\/icaptur.ai\/resources\/wp-content\/uploads\/2026\/08\/image-for-customer-story-steel-scaled-1-1536x606.jpg 1536w, https:\/\/icaptur.ai\/resources\/wp-content\/uploads\/2026\/08\/image-for-customer-story-steel-scaled-1-2048x808.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/p>\n<p>iCaptur implemented an AI-driven document understanding workflow using structured pipeline: OCR \u2192 ML classification \u2192 extraction \u2192checklist \u2192 dashboards \u2192 integrations.<\/p>\n<p>OCR accurately interpreted technical text, symbols, and dimensional annotations commonly used in steel manufacturing drawings. Machine learning was used to classify drawings by type and automatically identify relevant dimensions, tolerances, and symbol sections. Key data points including dimensions, tolerances, and checklist parameters were extracted and converted into standardized, structured formats. Based on this extracted information, dimensional checklists were generated automatically.<\/p>\n<p>The extracted information was made available through searchable dashboards and securely delivered via APIs, enabling seamless integration with the client\u2019s existing engineering and manufacturing systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A leading steel manufacturer sought to automate the extraction of dimensions, tolerances, and symbols from CAD drawings, along with the generation of checklists used across manufacturing operations. iCaptur implemented an OCR- and machine learning\u2013based workflow to streamline these processes across non-standard drawing formats.<\/p>\n","protected":false},"author":1,"featured_media":9180,"template":"","meta":{"_acf_changed":false},"success-story-category":[106],"class_list":["post-9172","success-story","type-success-story","status-publish","has-post-thumbnail","hentry","success-story-category-manufacturing-and-engineering"],"acf":[],"_links":{"self":[{"href":"https:\/\/icaptur.ai\/resources\/wp-json\/wp\/v2\/success-story\/9172","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icaptur.ai\/resources\/wp-json\/wp\/v2\/success-story"}],"about":[{"href":"https:\/\/icaptur.ai\/resources\/wp-json\/wp\/v2\/types\/success-story"}],"author":[{"embeddable":true,"href":"https:\/\/icaptur.ai\/resources\/wp-json\/wp\/v2\/users\/1"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/icaptur.ai\/resources\/wp-json\/wp\/v2\/media\/9180"}],"wp:attachment":[{"href":"https:\/\/icaptur.ai\/resources\/wp-json\/wp\/v2\/media?parent=9172"}],"wp:term":[{"taxonomy":"success-story-category","embeddable":true,"href":"https:\/\/icaptur.ai\/resources\/wp-json\/wp\/v2\/success-story-category?post=9172"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}