Daily Scan#

Overview#

Turn phone photos of documents into searchable PDFs with OCR and stable filenames based on capture date and headline text. Preserve the original photo, generate a readable scan-like PDF, and support later retrieval of saved scan files.

Runtime Requirements#

• Default OCR path: local Tesseract CLI
• Required local dependencies for the stable path:
  • tesseract
  • Python packages used by bundled scripts: opencv-python or cv2, Pillow, and either reportlab or ocrmypdf depending on the active PDF path
• Optional/experimental OCR path:
  • PaddleOCR-based script exists but is not the default stable engine
• No cloud upload is required for core operation
• The skill assumes bundled helper scripts under scripts/ are present and callable by the host agent

Workflow#

1. Confirm the trigger.

• 스캔 / scan — one-page processing
• 스캔연속 / scan multi — combine multiple photos into one searchable PDF
• 스캔찾아 / scan find — search previously saved scan files

1. Collect attached image files or search keywords.
2. Apply document-style cleanup when possible.

• straighten or rotate when needed
• improve contrast for readability
• keep output practical rather than over-processed

1. Run OCR in Korean and English.
2. Build the filename as:

• YYYY-MM-DD + headline text
• derive headline text from the top 2 to 3 OCR lines

1. Create a searchable PDF.
2. Save output to the local storage destination.
3. Keep the original image with the processed result.
4. For retrieval requests, search by date, headline text, or OCR keyword in the configured scan storage path.
5. Return:

• filename
• save location
• OCR title line

Storage Rules#

• Default local staging/search path: daily-scan-storage/YYYY-MM
• This skill is designed for local scan creation and retrieval only
• Use year/month folder structure
• Do not auto-classify document types

Operating Rules#

• For multi-page capture, combine pages into one PDF only when the trigger is 스캔연속 or scan multi
• OCR language defaults to Korean plus English
• Retrieval requests should search existing saved scan outputs before asking follow-up questions
• Keep replies concise

Failure Handling#

• If OCR fails, still save the PDF when possible
• If headline extraction fails, ask the user what title to use
• If OCR fails, explicitly report that OCR failed
• Preserve the original image unless the user later asks otherwise

Current Limits#

• Korean searchable PDF quality depends on OCR engine quality and PDF text-layer handling
• The Tesseract path is the current stable default
• The PaddleOCR path is experimental and should not be treated as the default engine
• This skill does not require external upload tools or cloud credentials

Output Contract#

Return only the practical result:

• saved filename
• save location
• extracted title line when available

Resources#

scripts/#

Bundled scripts are used for:

• image cleanup
• OCR execution
• searchable PDF generation
• saved scan retrieval

references/#

Store implementation notes for OCR engine choice and filename normalization if the skill grows more complex.