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OpenDrawing

AI-driven bill of materials creation from electrical single-line diagrams

Computer-vision and OCR platform that reads uploaded electrical single-line diagrams, P&ID schematics, riser diagrams, and panel schedules — including scanned or handwritten legacy drawings — automatically detecting, counting, and labeling components, then mapping them to part numbers to produce a structured, ERP-ready bill of materials. Engineers review every AI-labeled component overlaid on the source diagram and can relabel or remove detections before export. Backed by Techstars (Alabama EnergyTech Accelerator, Fall 2025 cohort).

$220K (Techstars Alabama EnergyTech Accelerator, Fall 2025 cohort — $200K uncapped MFN SAFE + $20K Post-Money Convertible Equity Agreement, per Techstars/Alabama News Center) raisedEarly Stage
Founded 2024 · Not publicly specified — no named customer logos, case studies, or customer count disclosed on official sources; Capterra listing shows 0 user reviews as of research date. Marketing targets electrical contractors, engineering teams, utilities, electrical manufacturers, and switchgear builders.
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Why This Tool Exists

The Problem

Electrical estimating and engineering teams manually extract components from single-line diagrams, P&ID schematics, riser diagrams, and panel schedules to build a bill of materials — a process the vendor states takes 30-60 minutes per diagram — then re-key the results into ERP and procurement systems before parts can be ordered or a job priced.

The Solution

OpenDrawing uses computer vision and OCR to read uploaded single-line diagrams, P&IDs, riser diagrams, and panel schedules (including scanned or handwritten legacy drawings), automatically detecting and labeling components, counting them, and recommending part numbers based on specifications and standards. Engineers see every AI-labeled component overlaid on the source diagram and can relabel or remove detections before exporting a structured, ERP-ready bill of materials — the vendor states this cuts per-diagram processing to under 5 minutes, for teams processing 100 diagrams/week a claimed 40+ engineering hours saved weekly.

How You Use It

Delivery Method
SaaS (Web App)
Integrations
Not publicly specified — no named third-party AEC, ERP, or procurement software integrations (e.g., Procore, SAP) confirmed on official sources; the site references generic output categories like "ERP systems," "procurement systems," and "digital twin platforms" without naming specific products
Project Phases
Estimating, Bidding/Procurement
Project Types
Commercial, Industrial, Infrastructure

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Electrical single-line diagrams, P&ID schematics, riser diagrams, or panel schedules
Optional:Customer parts catalog (for part-number mapping)
Formats:PDF, Scanned paper drawings / raster images, Legacy CAD exports (exact file formats not publicly specified)
Output
What you get
Format:Structured bill of materials exported to Excel-compatible, ERP-ready data
Fields:Component labels and counts, Part number recommendations, Panel schedule data (circuit names, breaker sizes, load descriptions, panel totals), Manufacturer/specification data
Algorithm
How it works
Model:Proprietary computer vision + OCR pipeline (model architecture not publicly disclosed)
Accuracy:Vendor claims an 80% reduction in manual correction time for handwritten/legacy schematics and reduces per-diagram processing from 30-60 minutes to under 5 minutes; no independent accuracy audit or precision/recall figures published
Privacy
How your data is protected
Retention:Not publicly specified — the Terms of Service and Privacy Policy pages did not disclose a data retention period for uploaded diagrams
Training:Not publicly specified — no statement found on whether uploaded diagrams are used to train OpenDrawing's models
Compliance:No SOC 2, ISO 27001, GDPR, or CCPA certification publicly disclosed as of research date
API
Integration
Endpoint:Contact vendor for API access — no public API documentation found
Method:Not publicly documented

Use Cases

  • ·Electrical contractors and estimators generating a bill of materials from single-line diagrams before pricing a job
  • ·Engineering teams converting scanned or handwritten legacy schematics into structured, ERP-ready data
  • ·Utilities and switchgear builders extracting panel schedule data (circuit names, breaker sizes, load descriptions) from diagrams
  • ·Electrical manufacturers matching detected components to part numbers and specifications for procurement

Pricing

Free
Free plan: 3 AI Takeoff Tokens/month, 1 user, 30-day history (per Capterra listing)
Pro
Pro plan: $399/month — 25 AI Takeoff Tokens/month, 1 user (per Capterra listing)
Enterprise
Business plan: $1,499/month — 125 AI Takeoff Tokens/month, unlimited users (per Capterra listing)
Sources & Research NotesResearch date: 2026-07-17
Fields Checked (10)
problem, solution, input-formats (general), output-fields, algorithm-approach (vendor-described), pricing-tiers (per Capterra), yearFounded, funding-amount-and-source, leadership/founders, HQ location
Not Found (8)
named third-party integrations, API availability, privacy-retention period, AI-training data usage, hosting location/region, compliance certifications, customerBase/named customers, algorithm accuracy methodology
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.