Use case
From scattered PDFs to structured PMI — in seconds.
Werk24 extracts dimensions, tolerances, GD&T, notes, hole tables, surface finishes, and cross-references from technical drawings — and returns clean, unit-aware JSON ready for ERP, MES, and QA.
Why manual PMI re-entry does not scale
PMI is scattered across title blocks, views, balloons, and free-text notes. Manual re-entry into ERP/MES/QA is slow and error-prone — duplicates, missing tolerances, and inconsistent symbols slip through. As drawing volume grows, headcount-dependent transcription becomes a structural bottleneck.
What it extracts — a complete, normalized PMI graph
- Dimensions — linear, diameter, radial, and angular with upper/lower tolerances.
- GD&T frames — feature control frames, datum references, and composite tolerances.
- Notes & tables — free-text notes, hole tables, weld symbols, and surface finish callouts.
- Cross-references — resolve "see detail A", "per note 7", view-to-feature links.
- Title-block metadata — part number, revision, material, standard, and customer references.
Every item includes provenance and confidence. Units are normalized. Unresolved references are flagged for review.
How it works
Five stages from drawing to structured, cross-linked PMI.
Ingest Werk24
Upload PDF, scan, or DXF. We parse geometry, views, tables, text layers, and symbols.
Detect Werk24
Identify dimension leaders, GD&T frames, note anchors, hole tables, and surface finish callouts.
Normalize Werk24
Unify units, tolerances, and symbols into a single PMI schema. Original symbols are preserved in metadata.
Cross-link Werk24
Connect notes to features, features to views, and views to details. Unresolved references are flagged.
Export
JSON for ERP/MES/QA, PDF overlays with highlighted features, and a change log for audit.
Sample PMI
Sample PMI (JSON excerpt)
{
"dimensions":[{"type":"diameter","value":18.0,"tol":{"+":0.02,"-":0.02},"feat":"H1","unit":"mm"}],
"gdt":[{"feature":"A","frame":[{"sym":"⌀","val":0.1},{"sym":"⟂","val":0.02,"datum":"B"}]}],
"notes":[{"id":7,"text":"Deburr all edges 0.2×45°"}],
"surfaces":[{"Ra":1.6,"area":"S1"}],
"refs":[{"from":"VIEW-LEFT","to":"DETAIL A"}]
}Topline QA
Export a PDF overlay to review links before release.
Outcomes
Structured PMI that downstream systems can consume — without manual transcription.
Seconds per page, not hours
Automated extraction replaces manual re-entry. Engineers focus on exceptions, not transcription.
Unit-aware, normalized output
No more misread symbols or wrong units. Every item is parsed, validated, and confidence-scored.
Cross-linked references
Notes, features, views, and details are connected — not just extracted in isolation.
Ready for ERP/MES/QA
Clean JSON drops into downstream systems. PDF overlays let reviewers verify before release.
Metrics that matter
Track extraction speed, coverage, and downstream integration quality.
- Extraction speed: Time per page (P50/P90).
- Feature coverage: % of dimensions, GD&T, and notes correctly extracted.
- Confidence distribution: Share of items above/below review threshold.
- Downstream adoption: % of PMI consumed by ERP/MES/QA without manual correction.
FAQ
Which PMI types are supported?
Dimensions (linear, diameter, radial, angular), tolerances, GD&T frames, hole tables, surface finish, weld symbols, notes, and cross-references.
How are units and symbols handled?
Units are normalized to your target system (e.g., mm). Original symbols (⌀, ⌖, ±) are preserved in metadata for traceability.
What about low-confidence items?
Every item includes provenance and confidence. Unresolved references and low-confidence items are flagged for human review.
Can we integrate via e-mail instead of API?
Yes. Forward drawings to a dedicated inbox and receive JSON + annotated PDF back. API and e-mail workflows can run in parallel.