A specialized local OCR engine designed for high-precision recognition of Greek business documents, invoices, and handwritten materials.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install greek-document-ocr
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install greek-document-ocr using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Greek Document OCR?
Greek Document OCR is a robust technical solution for developers and accountants needing to process Greek-language materials without relying on cloud-based APIs. As part of the ecosystem of Openclaw Skills, this tool leverages Tesseract and custom logic to handle the unique nuances of the Greek alphabet, including complex accents, similar-character disambiguation (e.g., Greek Α vs Latin A), and specific business terminology.
The skill is engineered to integrate seamlessly into automated workflows, transforming raw scans and photos into structured, actionable data. By focusing on local processing, it ensures data privacy and compliance while providing superior accuracy for Greek business documents, legal contracts, and official government forms like those from AADE or EFKA.
Greek Document OCR Use Cases
- Automating the entry of Greek invoices and receipts into accounting software like QuickBooks or Xero.
- Digitizing and extracting structured data from handwritten Greek notes and cursive signatures.
- Processing official government forms (E1, E3, ENFIA) for tax and compliance workflows.
- Generating searchable PDF archives with high-fidelity Greek text layers for legal document management.
- Batch processing of historical business archives to extract VAT numbers (AFM) and transaction amounts.
How Greek Document OCR Works
- The system assesses the input image quality and detects the density of Greek characters to select the optimal processing path.
- Pre-processing scripts perform deskewing, noise reduction, and contrast enhancement specifically for Greek character sharpening.
- The core engine executes local OCR using Tesseract with the Greek language pack (tesseract-ocr-ell) to recognize text and symbols.
- Post-processing logic applies a specialized Greek business dictionary to correct spelling, normalize accents, and validate context.
- Structured data is extracted by identifying patterns such as AFM numbers, VAT rates (24%, 13%, 6%), and Greek currency formats.
- The final output is categorized and delivered as clean text, JSON, or searchable PDFs ready for accounting integration.
Greek Document OCR Setup
To install this skill and integrate it with your Openclaw Skills environment, ensure you have Tesseract and jq installed:
# Set the data directory
export OPENCLAW_DATA_DIR="/data"
# Install Tesseract OCR with Greek language support
sudo apt install tesseract-ocr tesseract-ocr-ell
which jq || sudo apt install jq
# Create the required directory structure
mkdir -p $OPENCLAW_DATA_DIR/ocr/{incoming/{scanned,photos,government},output/{text-extracted,structured-data}}
Greek Document OCR Data Schema & Taxonomy
The skill organizes processed data into a clear hierarchy within the Openclaw Skills data directory:
| Directory | Data Type | Description |
|---|---|---|
/incoming/scanned/ |
PDF, JPG, PNG | Raw document scans for batch processing. |
/incoming/handwritten/ |
Image files | Specialized input for Greek cursive recognition. |
/output/text-extracted/ |
.txt | Raw, corrected Greek text files. |
/output/structured-data/ |
.json | Extracted business entities (AFM, amounts, dates). |
/output/accounting-ready/ |
.csv | Formatted data ready for import into Xero or QuickBooks. |
Greek Document OCR Advanced Features
- Multi-agent coordination for matching extracted receipts against banking transactions.
- Advanced Greek cursive recognition for processing handwritten notes and signatures.
- Automated document classification using visual cues and Greek keyword patterns.
- Custom training capability for client-specific business terminology and specialized forms.
- Parallel batch processing for high-volume document throughput in production environments.
SKILL.md
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