Beta • Free to Use
Automated Tag Search in EPC PDF Documents
Extract tags from engineering documentation automatically. Save hours of manual work parsing P&IDs, PFDs, and technical drawings in large-scale industrial projects.
The Challenge
In large-scale EPC projects, extracting tag numbers from technical PDFs is a necessary but tedious bottleneck that slows down project workflows.
Time-Consuming Manual Search
Engineers spend hours manually scanning through hundreds of pages to locate and extract tag numbers from P&IDs and technical drawings.
High Risk of Human Error
Manual extraction leads to missed tags, typos, and inconsistencies that can cause downstream issues in data management systems.
Inconsistent Documentation
EPC projects involve multiple document formats, revisions, and standards, making systematic tag extraction difficult and error-prone.
No Centralized Solution
Most teams rely on spreadsheets and manual processes, lacking dedicated tools designed for industrial documentation parsing.
How It Works
Four simple steps from PDF upload to structured tag data
01
Upload PDF Document
Upload a PDF file containing P&ID, PFD, or other technical drawings. Multi-page documents are supported, provided the files are not password-protected.
02
Configure Parsing Rules
Select tag format patterns (e.g., XXX-1234-A, P-001), specify regex rules, and choose areas of interest within your documents.
03
Automated Tag Extraction
The parser analyzes document content using pattern recognition to identify and extract tags. Processing happens in your browser.
04
Review & Export Results
View the extracted tags as a structured list, check their completeness, and export them to CSV format if necessary.
Who uses this tool?
Built for engineering teams across the EPC project lifecycle
Engineers
Process Engineers
Piping Engineers
Instrumentation Specialists
Quickly extract tag lists from P&IDs for equipment schedules, instrument datasheets, and loop drawings.
Data Management
Document Controllers
Data Coordinators
EDMS Administrators
Populate databases and asset management systems with accurate tag data from engineering documents.
Project Managers
EPC Managers
Engineering Leads
QA/QC Teams
Track tag deliverables, verify completeness across document sets, and monitor project progress.
Clients & Operators
Asset Owners
Operations Teams
Maintenance Planners
Extract tag information for operations handover, maintenance planning, and facility management systems.
Performance Benchmarks
Technical performance data based on typical EPC project documentation
1000+
pages
Document Capacity
Single PDF processing
10,000+
tags
Extraction Volume
Per document run
~3
minutes
Processing Time
For 1,000-page PDF with 10,000 tags
85-92%
Average Accuracy
Standard P&ID documents
95%+
Clean Format Accuracy
High-quality, machine-generated PDFs
10x+
Speed Improvement
vs. manual extraction
Performance Notes
- Processing time varies based on document complexity, resolution, and tag density.
- The accuracy rates above are only applicable to machine-generated PDF files. There is no search for scanned/hand-drawn documents.
- All processing is done client-side in the browser; no data is uploaded to external servers.
- Performance benchmarks based on testing with industry-standard P&ID and PFD documentation.
Feedback & Issue Reports
Help us improve the tool by sharing your experience, reporting bugs, or suggesting features
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