general-ocr-struct

# General OCR Struct Use this skill to separate OCR recognition from downstream content整理. ## Workflow 1. Run the local OCR script on the image first. 2. Return the raw OCR text before making business interpretations when accuracy matters. 3. If the image is a transaction-detail screenshot, run structuring mode to group rows into fields. 4. Mark uncertain fields explicitly as `待确认`; do not guess missing content. 5. Only after the user confirms recognition quality, use the result for tables, summaries, or documents. ## Commands ### Raw OCR ```bash python3 scripts/general_ocr.py raw /path/to/image.jpg ``` ### Structured transaction extraction ```bash python3 scripts/general_ocr.py transactions /path/to/image.jpg ``` ### JSON output ```bash python3 scripts/general_ocr.py transactions /path/to/image.jpg --json ``` ## Output rules - Prefer showing the recognition result first, then the cleaned structure. - Preserve source wording where possible. - For uncertain content, use `待确认` instead of inferring. - Adapt the structure to the source image type. For statement-like screenshots, common fields are: `card_last4`, `date`, `time`, `currency`, `merchant`, `amount`. ## Notes - This skill uses RapidOCR locally. - First install may need Python packages; after setup it runs offline. - If OCR quality is weak, request a higher-resolution original screenshot before doing deeper整理.