aeondave/tesseract
offensive-tools/forensic/tesseract/SKILL.md
Auth/lab ref: Tesseract OCR engine for extracting text from images and scanned documents.
$ install --global
skillsauthnpx skillsauth add aeondave/malskill tesseractInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Jun 8, 2026, 3:48 AM140.1s1 file scanned
SKILL.md
- name:
- tesseract
- description:
- Auth/lab ref: Tesseract OCR engine for extracting text from images and scanned documents.
- compatibility:
- Linux, Windows, macOS; language packs installed as needed.
- author:
- AeonDave
- version:
- 1.0
Tesseract
OCR for when the flag is technically visible but insists on pretending it is art.
When to use Tesseract
Use Tesseract when you need to:
- extract text from screenshots, photos, scans, or UI captures
- OCR serial numbers, labels, or handwritten-ish block text after preprocessing
- turn image-only evidence into searchable text
Quick Start
# OCR to stdout
tesseract image.png stdout
# OCR to a text file prefix
tesseract image.png output
# Specify language and page segmentation mode
tesseract image.png stdout -l eng --psm 6
Practical Notes
- Clean input matters: crop, deskew, increase contrast, and remove noise before blaming OCR.
--psmchanges behavior a lot; single-line, sparse-text, and full-page inputs want different modes.- Pair with
exiftoolfor metadata and with image preprocessing outside the OCR step when results are poor.
Caveats
- Garbage in, garbage out; screenshots of tiny text and stylized fonts need preprocessing.
- Wrong language packs or segmentation modes can destroy otherwise easy reads.
- OCR output still needs human verification before you treat it as evidence.
Resources
No bundled scripts/, references/, or assets/.
Use the official Tesseract docs for language packs, OCR engine modes, and advanced config files.
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