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.
In short
Pathnovo's P&ID to JSON converts P&IDs into structured JSON (plus CFIHOS 2.0, DEXPI XML, and ISO 15926 RDF formats natively) with full tag relationships, connection paths, positional coordinates, and revision metadata preserved, ready for API integration, digital twin construction, and RAG-based engineering search. Schema covers top-level arrays for tags, lines, equipment, instruments, and connections, with each entity carrying ID, type, attributes, relationships, bounding-box coordinates, revision, and source-sheet identifier. 99.5% contractual field-level accuracy SLA, 98%+ topology accuracy on well-formed P&IDs, delivered within a 48-hour SLA per sheet set. Pre-built connectors for SAP PM S/4HANA, IBM Maximo 7.6 / MAS 8.x, AVEVA NET / AIM, Hexagon HxGN SDx, Bentley iTwin, Cognite Data Fusion, Wrench SmartProject, and Oracle Aconex, plus REST endpoints, webhook triggers, and batch export. DEXPI-compliant for BASF, Bayer, Shell, BP, and Equinor consortium workflows. Every extracted entity carries provenance back to source P&ID region with bounding-box evidence for independent audit. Typical 1 MB Excel becomes 4 to 8 MB JSON with full topology, the form vector databases and knowledge graphs need for natural-language retrieval over engineering data.
JSON output preserves tag relationships, connection paths, and document topology, not just flat text extraction.
JSON follows a documented schema with consistent field names, types, and nesting. Ready for automated processing.
Push extracted data to SAP PM, IBM Maximo, or custom systems via REST API. Webhook support for pipeline automation.
Full API docs with schema definitions, sample payloads, and integration guides for your engineering team.
Feed extracted P&ID data into enterprise system APIs
Build digital twin data models from legacy drawings
Power engineering search and RAG applications
Automate SAP PM master data creation from drawings
The JSON schema includes top-level arrays for tags, lines, equipment, instruments, and connections. Each entity has fields for ID, type, attributes, relationships, positional coordinates (for source-document reference), revision, and source-sheet identifier. CFIHOS 2.0 and DEXPI format exports available. Custom schema mapping supported for client-specific structures. Full schema documentation provided at project kickoff.
Yes. The JSON output is designed for API consumption. REST endpoints, webhook triggers, and batch export options available. Pre-built connectors for SAP PM S/4HANA, IBM Maximo 7.6 / MAS 8.x, AVEVA NET / AIM, Hexagon HxGN SDx, Bentley iTwin, Cognite Data Fusion, Wrench SmartProject, and Oracle Aconex. See the integrations directory for the full partnership catalogue.
Yes. JSON output is CFIHOS 2.0-aligned and ISO 15926-compatible, both of which are the data models used by major digital twin platforms (AVEVA AIM, Cognite Data Fusion, Bentley iTwin, Hexagon HxGN SDx). For operators running digital twin programmes, Pathnovo sits upstream as the extraction engine feeding structured data into the twin on Day 1 of commissioning. See the digital twin data integration workflow.
Yes. DEXPI (Data Exchange in the Process Industry) XML format export is natively supported. For owner-operators and EPC contractors operating in DEXPI-compliant workflows (including BASF, Bayer, Shell, BP, Equinor, all DEXPI consortium members), Pathnovo's extraction output flows directly into DEXPI-aware systems without translation. See the engineering ontologies page for the full standards alignment.
99.5% contractual field-level accuracy SLA with penalty clause. Topology accuracy (correct connections between tags, lines, equipment) runs at 98%+ on well-formed P&IDs. Every extracted entity carries provenance back to the source P&ID region with bounding-box evidence for independent audit.
Authentication uses tenant-scoped API keys with optional OAuth 2.0 for enterprise SSO. Each tenant runs in an isolated workspace; no cross-customer data sharing. Rate limits are project-scaled rather than fixed: Scale and Enterprise tiers receive dedicated extraction capacity that supports continuous CI-style P&ID processing without throttling. Webhook callbacks deliver completed extractions to your endpoint within the 48-hour SLA.
Yes. Data residency is configurable at tenant creation: AWS Riyadh, Azure UAE North, Azure India Central, or AWS Mumbai. For Saudi Aramco, ADNOC, QatarEnergy, KOC, and Indian PSU procurement subject to in-country data sovereignty obligations, the deployment model is contractually aligned to the procurement standard. Air-gapped on-premises deployments available on Enterprise contracts for sanctions-sensitive operators.
Yes. The JSON schema preserves cross-sheet references: off-page connectors, continuation arrows, and tag-to-tag links across sheet boundaries are resolved into a unified topology graph for the full drawing set. A 600 P&ID engagement produces one consolidated JSON graph with all tag, line, and equipment relationships intact, not 600 disconnected per-sheet files. This is what enables digital twin population and RAG-based engineering search at full-project scale.
JSON preserves the full topology and relationships between tags, lines, and equipment, not just flat tabular data. This enables API integration, digital twin construction, RAG-based engineering search applications, and automated loading into enterprise systems like SAP PM, IBM Maximo, and AVEVA AIM. Excel loses the structural relationships that make P&ID data actionable for engineering workflows. For CFIHOS / ISO 15926 / DEXPI-aligned downstream platforms, JSON is the required format; Excel is a lossy intermediate.
Send us 10 documents from your current project. We extract, reconcile, and show you exactly what we find in 48 hours, before any contract.
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