--- title: How AI, OCR, image comparison and human-in-the-loop... description: A consulting firm describes building an AI-driven workflow that combines OCR, image comparison, and human review to speed up proofreading of medical device... canonical: https://daily.dev/posts/how-ai-ocr-image-comparison-and-human-in-the-loop-workflows-helped-reduce-medical-device-label-pro-24rd6wmtu twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How AI, OCR, image comparison and human-in-the-loop workflows helped reduce Medical-device label proofreading time by 70–80%. | daily.dev og:description: A consulting firm describes building an AI-driven workflow that combines OCR, image comparison, and human review to speed up proofreading of medical device... og:url: https://daily.dev/posts/how-ai-ocr-image-comparison-and-human-in-the-loop-workflows-helped-reduce-medical-device-label-pro-24rd6wmtu og:image: https://api.daily.dev/og/posts/24Rd6WmtU.png og:image:alt: How AI, OCR, image comparison and human-in-the-loop workflows helped reduce Medical-device label proofreading time by 70–80%. og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How AI, OCR, image comparison and human-in-the-loop workflows helped reduce Medical-device label proofreading time by 70–80%. **[Medium](https://daily.dev/sources/medium_js)** · 8 min read · 0 upvotes · 0 comments ## Summary A consulting firm describes building an AI-driven workflow that combines OCR, image comparison, and human review to speed up proofreading of medical device labels. The system highlights text and visual differences between old and new artwork versions, letting reviewers focus on evaluating flagged changes rather than manually scanning entire labels. Structured reporting captures review evidence for regulatory traceability. The approach reportedly cut proofreading time by 70-80%, improved detection accuracy, and reduced human error, while keeping qualified reviewers responsible for final decisions. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [AI automation for hospitals to save both time and cost](https://daily.dev/posts/ai-automation-for-hospitals-to-save-both-time-and-cost-pegonppkc) · Ruby Flow · 0 upvotes · 0 comments - [Humanoid Hype Dominates Top Robotics Stories of 2025](https://daily.dev/posts/humanoid-hype-dominates-top-robotics-stories-of-2025-qwurbeuwr) · IEEE Spectrum · 0 upvotes · 0 comments - [Why AI coding tools shift the real bottleneck to review](https://daily.dev/posts/why-ai-coding-tools-shift-the-real-bottleneck-to-review-brfqi7fhb) · LogRocket · 0 upvotes · 0 comments - [Elevating Technical Documentation: Using Predictive AI to Standardize Visual Knowledge Bases](https://daily.dev/posts/elevating-technical-documentation-using-predictive-ai-to-standardize-visual-knowledge-bases-az5zrkbbf) · DevOps.com · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#computer-vision](https://daily.dev/tags/computer-vision), [#regulatory-compliance](https://daily.dev/tags/regulatory-compliance) [View this post on daily.dev](https://daily.dev/posts/how-ai-ocr-image-comparison-and-human-in-the-loop-workflows-helped-reduce-medical-device-label-pro-24rd6wmtu) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"How AI, OCR, image comparison and human-in-the-loop workflows helped reduce Medical-device label proofreading time by 70–80%.","url":"https://daily.dev/posts/how-ai-ocr-image-comparison-and-human-in-the-loop-workflows-helped-reduce-medical-device-label-pro-24rd6wmtu","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-ai-ocr-image-comparison-and-human-in-the-loop-workflows-helped-reduce-medical-device-label-pro-24rd6wmtu"},"datePublished":"2026-10-04T14:02:07.513Z","dateModified":"2026-10-04T21:52:01.064Z","description":"A consulting firm describes building an AI-driven workflow that combines OCR, image comparison, and human review to speed up proofreading of medical device...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/191bcfbb70bc1764437bec62a85f2920?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/191bcfbb70bc1764437bec62a85f2920?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Medium","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Medium","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium","url":"https://daily.dev/sources/medium_js"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-ai-ocr-image-comparison-and-human-in-the-loop-workflows-helped-reduce-medical-device-label-pro-24rd6wmtu","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,computer-vision,regulatory-compliance","timeRequired":"PT8M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Medium","item":"https://daily.dev/sources/medium_js"},{"@type":"ListItem","position":3,"name":"How AI, OCR, image comparison and human-in-the-loop workflows helped reduce Medical-device label proofreading time by 70–80%."}]} ```