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Agentic PDF Viewer for Schematics

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Hi HN,We've been building out a PDF viewer to help support various tasks in the Architectural, Engineering, and Construction space.We use it primarily for steel estimation right now, but are exploring how it might be useful across other engineering disciplines!From a tech perspective, the AI PDF viewers we've ran into use mostly PDF metadata/text, so they dont work well on engineering schematics which are mostly visual. So we put an agent in there that has tool abilities to see both text and image modalities, and its been much better for our tasks.Hope its interesting to play with and open to ideas where the tech could be useful!

HN · launched Dec 18, 2025 · 5 upvotes (top 90%) · 0 views

Niche: ai document processing software · 114 launches, 11 in the last 7 days ▲ +10% · Explore this niche →

Category and tags

  • Manufacturing
  • Agent / copilot
  • B2B
  • AI-native
  • Commercial product

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Could you build this?

No Accurate steel takeoff and engineering schematic parsing requires specialized civil/structural domain modeling, complex spatial vector CAD/PDF parsing, and fine-tuned computer vision pipelines to handle dense technical blueprints.

What it would actually take: A production implementation requires a high-performance vector PDF rendering engine (like PDF.js or custom WebGL/Canvas pipelines) combined with a deep learning pipeline (custom fine-tuned vision models for engineering symbols, dimension line detection, OCR for callouts, and hierarchical spatial association). It needs civil/structural engineering domain knowledge to calculate accurate material takeoff rules (steel grades, beam profiles, standard connections) from imprecise schematic lines, along with human-in-the-loop audit tools for strict construction tolerance requirements.

Discussion

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Competitors

Other products that read as similar to this one : 291 launches clear the similarity bar, closest 8 shown.

Attention rank: #281 of 292 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 45 days after the earliest competitor.

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