Tag Extraction from Engineering Documents
Novek's AI agents extract equipment and instrument tags, attributes, and metadata from P&IDs, datasheets, drawings, and vendor files—then localize every extracted item back to its exact position in the source document, so engineers can review, edit, and approve with confidence.
What Makes Novek Different
Localized, Human-Reviewable Extraction
Every extracted tag is:
This means engineers don't "trust the AI blindly"—they verify in seconds instead of hours.
You don't just get a list.
You get proof.
Detailed Overview
Novek uses task-specific AI agents combining computer vision and language understanding to identify, extract, and structure tags, specifications, and metadata from engineering documents.
Unlike traditional extraction tools, Novek:
- Preserves context, not just values, including colors, highlights, and annotations
- Links every output back to its source location
- Supports human-in-the-loop review by design
Teams use Novek to replace manual tag take-offs, spreadsheet copying, and repeated cross-checks—while staying fully accountable during design reviews and audits.
Key Capabilities
Typical Cost Comparison (per page)
Manual tag extraction
- • 2–3 hours per page
- • High rework during reviews
- • Error-prone and difficult to audit
With Novek
- • Extraction in <10 mins per page
- • Easy human review in ~10 mins per page
- • Structured outputs ready for downstream use
At typical engineering rates, manual extraction can cost $100s per page. Novek costs <50¢ per page—with traceability and human review built in.
Ready to See It in Action?
Run tag extraction on your own documents and review results directly on the source files—before exporting a single row.
Faster extraction is good.
Extraction you can defend in a design review is better.