TIFF scanned drawings hold only “pixels” — machines cannot understand lines, text, or components. Relying on a VLM alone makes dimensions mere “estimates,” and miscounts and hallucinations propagate into the estimate (= cost).
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We want to convert pixel-only TIFFs into structured dataMachines cannot understand lines, text, or components
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We want to measure dimensions precisely and count 100% of quantitiesA VLM alone yields estimates, miscounts, and hallucinations
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We don’t want errors propagating into the estimate (cost)Estimates amplify errors via unit price × quantity
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We want to trace and audit “why this value”A black box cannot be explained
A “right tool for the right job” hybrid pipeline. Preprocessing & vectorization (deterministic) give exact coordinates and dimensions; OCR & object recognition (AI) handle meaning and Japanese; structuring adds confidence scores. Humans verify only risk spots. Output is confidence-scored structured data (JSON / bill of materials / IFC) that connects to takeoff & estimation. OSS-centric to avoid vendor lock-in.