Extract tag numbers, instrument loops, line numbers, equipment specs, and control valve data from P&IDs into structured JSON with 99.5% accuracy. Trained on ISA 5.1 conventions. Output to Excel, JSON, SAP PM, or IBM Maximo.
Contractual accuracy guarantee on safety-critical fields: tag numbers, instrument loops, line numbers, design pressures, SIL classifications. Not a benchmark — a binding SLA.
Models trained on ISA 5.1 instrument identification standards. Parses tag prefixes, functional identification letters, loop numbers, and flags deviations from standard automatically.
Deliver extracted data as structured JSON, Excel, CSV, or directly into SAP PM, IBM Maximo, AVEVA NET, and Hexagon SmartPlant via pre-certified connectors.
Process scanned paper drawings from the 1970s, CAD PDFs, DWG files, and EDMS exports. Handles low-resolution scans and non-standard conventions from any era.
Extract every tag number, instrument loop, and equipment identifier from P&IDs with positional context and relationship mapping.
Parse line numbers with size, specification, insulation class, and flow direction across sheet boundaries.
Recognize ISA 5.1 symbols including control valves, instruments, actuators, and safety devices with classification accuracy above 99%.
Track line continuations, off-page connectors, and inter-drawing references across multi-sheet P&ID sets.
Compare P&ID revisions to identify added, modified, or removed tags, lines, and equipment with change-level granularity.
Auto-generate equipment lists, instrument indexes, and line lists directly from extracted P&ID data.
Generate instrument index from P&IDs in 48 hours instead of 8 weeks
Build SAP PM functional locations and equipment masters directly from drawings
Reconcile P&ID tags against instrument datasheets and C&E matrices
Create equipment lists and tag registers for handover packages
Extract and validate control valve data for SIL verification
Digitize legacy brownfield P&IDs for asset management modernization
Extract tag numbers, instrument data, line numbers, and equipment specs from P&IDs directly into structured Excel spreadsheets. Automated, accurate, and ready for procurement.
Convert P&IDs into structured JSON with full tag relationships, positional context, and document topology. Ready for API integration, data pipelines, and enterprise system loading.
Extract every tag number, ISA 5.1 symbol, and instrument identifier from P&IDs with classification accuracy above 99%. Automated tag register generation for EPC handover.
Pathnovo delivers 99.5% field-level accuracy on safety-critical P&ID fields — tag numbers, instrument loops, line numbers, design pressures, and SIL classifications. This is a contractual SLA with a remedy clause. Generic AI models achieve 60-75%. KPO teams deliver 90-95% with no SLA.
We process scanned paper P&IDs, CAD-generated PDFs, DWG/DXF files, and EDMS exports from any era. Our models handle low-resolution scans from the 1970s through modern intelligent P&IDs from SmartPlant and AVEVA.
For a typical EPC project with 5,000-20,000 P&IDs, full extraction takes 4-8 weeks including reconciliation and SAP PM loading. Individual drawings process in minutes. Rush processing is available for handover deadlines.
Yes. Extracted P&ID data flows directly into SAP PM S/4HANA functional locations, equipment masters, and maintenance task lists via pre-certified connectors. No manual Excel re-entry required.
P&ID extraction starts at Rs.75 per page — the lowest price in the market. Volume discounts of 15-30% apply for projects with 5,000+ drawings. Every engagement begins with a free 10-document pilot.
Our models are trained on ISA 5.1 instrument identification standards. We parse tag prefixes, functional identification letters, and loop numbers automatically, and flag any deviations from the standard for human review.
Pathnovo delivers 99.5% field-level accuracy on safety-critical P&ID fields including tag numbers, instrument loops, line numbers, design pressures, and SIL classifications. This is a contractual SLA — not a marketing benchmark. Manual data entry by experienced engineers achieves 96-98% but takes weeks. Generic AI models like GPT-4 Vision achieve 60-75% on engineering drawings. KPO teams deliver 90-95% with no SLA and Excel-only output.
Pathnovo delivers extracted P&ID data in structured JSON, Excel/CSV, and directly into enterprise systems. Supported targets include SAP PM S/4HANA, IBM Maximo, AVEVA NET, Hexagon SmartPlant Foundation, and ISO 15926 XML endpoints. The JSON output preserves tag relationships, positional context, and document topology — not just flat text.
Yes. Pathnovo processes scanned paper P&IDs from any era, including low-resolution scans, faded drawings, hand-annotated markups, and non-standard conventions. Our models are trained on 200,000+ engineering drawings spanning five decades of drawing standards and conventions.
Send us 10 documents from your current project. We extract, reconcile, and show you exactly what we find in 48 hours, before any contract.
If the accuracy isn't what we promised, you owe us nothing.
Connect with Pathnovo to discuss your engineering document intelligence needs.
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Our Offices
Bangalore Office
Unit 101, OXFORD TOWERS 139, Old HAL Airport Rd, Kodihalli, Bengaluru, Karnataka 560008