Bill of Materials Recognition
Information about bill of materials recognition (tap briefly to open)
Bill of materials recognition (BOM extraction) – extract BOMs from PDF
This tool extracts bills of materials (BOM – bill of materials) from technical PDF documents and recognises item positions, quantities, part numbers and other structured data from tables and drawings.
The PDF file is processed server-side and automatically deleted after analysis.
What is bill of materials recognition used for?
Bills of materials are a key basis for design, purchasing, manufacturing and ERP/PDM systems. This tool automates capturing data from technical PDF documents.
Typical use cases:
- Transfer of BOMs into ERP systems
- Import into PDM and PLM systems
- Review supplier documentation
- Digitising archived documents
- Preparing manufacturing data
- Reconciling item positions and quantities
Which data is detected?
Depending on the document and table structure, different information can be detected automatically.
- Item positions (Pos.)
- Quantities (pieces, qty)
- Part numbers
- Material numbers
- Part descriptions
- Material specifications
- other table information
Supported document types
- PDF files with embedded tables
- technical drawings with BOMs
- manufacturing drawings
- assembly drawings
- scanned PDF documents with OCR support
How does BOM recognition work?
- Upload PDF file
- Analyse tables and content
- Automatically detect columns
- Map item positions, quantities and part numbers
- Create a structured BOM
- Show or export results
Typical benefits
- Time savings in data capture
- Reduction of manual entry errors
- fast digitisation of existing documentation
- easy further processing in ERP and PDM systems
- automatic evaluation of technical documents
Current limitations
- Current maximum file size is 80 MB per PDF file
- By default, the first pages are analysed
- Scanned PDFs without clear table structure yield fewer matches
- Recognition quality depends on document quality and layout
- Additional system components may be required for advanced table detection
Number of PDF pages to search.
Extraction
- Analyse tables and content
- Automatically detect columns
- Item positions, quantities, part numbers
- pdfplumber
- Camelot (optional)