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Construction · drawing analysis Image → structured data → estimation
EstiScan — From structuring TIFF drawings to estimation (Hybrid AI)

We structure TIFF scanned drawings with a deterministic × AI hybrid. Not estimates — takeoff you can measure to the millimeter.

Sanei Kenso Co., Ltd. — Converts TIFF/PDF drawings that hold only pixels into “machine-readable structured data” via a multi-stage pipeline of preprocessing & vectorization (deterministic) and OCR & object recognition (AI). Deterministic methods deliver exact coordinates and dimensions, AI handles meaning and Japanese text, and humans verify risk spots (Human-in-the-loop). Output connects to takeoff & estimation as confidence-scored JSON / bill of materials.

mm-level
Geometry-based dimensions & coordinates
Deterministic measurement, not estimation
5stages
Hybrid multi-stage processing
Deterministic + AI + human review
100%
Traceable structured output
Retains provenance and confidence; auditable
Challenge
Before

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).

  • We want to convert pixel-only TIFFs into structured data
    Machines cannot understand lines, text, or components
  • We want to measure dimensions precisely and count 100% of quantities
    A VLM alone yields estimates, miscounts, and hallucinations
  • We don’t want errors propagating into the estimate (cost)
    Estimates amplify errors via unit price × quantity
  • We want to trace and audit “why this value”
    A black box cannot be explained
Solution
After

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.

Input TIFF (level 0 · pixels only) ① PreprocessDeskew · binarize▣ Deterministic ② VectorizePixels → lines · coords▣ Deterministic ③ OCRDimensions · Japanese◆ AI ④ DetectionWalls · columns · fixtures◆ AI ⑤ StructureParts + confidence▣+◆+👤 Structured data (JSON: components + dimensions + confidence) Traceable & auditable / extensible to IFC, CAD, and upstream analysis EstimationUnit price × labor rate (RAG) Quote outputExcel / PDF ▣ Deterministic = coordinates & dimensions (mm) ◆ AI = meaning & Japanese 👤 Human = verify risk spots Not “fully automated” — designed to support and accelerate human judgment (right tool for the right job)
estiscan.example.jp
3,640 2,730 Vectorized (lines · coordinates) Bill of materials → estimation ComponentQtySource Wall (W)48.2m Column (C)8 pcs Fixtures6 spots Floor finish38.3㎡ Estimate total (excl. tax) ¥1,235,600 ◆ AI extraction (fixtures) confidence 78% → 👤 Awaiting human review (traceable)
Vectorization + AI extraction → confidence-scored bill of materials → takeoff & estimation
Tech stack (OSS-centric) OpenCV DeepLSD PaddleOCR Detectron2 Qwen2.5-VL ezdxf / IfcOpenShell
Deterministic + AIHybrid
OSSCommercial-safe
Start with a PoC on real drawings. info@amela.vn