dfd-tud/deda

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2565 stars · 119 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DEDA is a Python toolkit for extracting, decoding, and anonymising the yellow tracking dots that colour laser printers embed in printouts. It provides both CLI tools and a GUI for forensic analysis and privacy protection of printed documents.

Use cases

• decode printer tracking dots from a scanned document
• identify which laser printer printed a document
• anonymise a PDF before printing to remove tracking dots
• compare scans to find which printer differs from a set
• extract unknown yellow dot patterns for analysis
• create custom tracking dot matrices in a PDF

When to choose

• you need to read or decode Machine Identification Code (MIC) yellow dots from scans
• you want to anonymise printouts against printer tracking
• you are doing printer forensics research on scanned documents

When to avoid

• you need inkjet or printer forensics beyond colour laser tracking dots
• you want a polished end-user product rather than research tooling
• you need Windows support for the anonymisation mask workflow (wand is Unix-only)

Facets

cli-tool · maturity maintenance

image-processing security privacy ocr developer-tools security privacy pdf image-processing python cli yellow-dots printer-forensics tracking-dots anonymisation document-forensics gui forensics linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="dfd-tud/deda")