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clipsmith-ocrlisted

Run native macOS image OCR through Vision.framework via pyobjc bridge (same engine family used by Preview/Live Text), with Chinese+English recognition defaults and deterministic CLI execution. Use when you need to extract text from local images on macOS — including screenshots, photos, or scanned documents — and want output to stdout or a text file. Also known as image-to-text or read-text-from-image.
OctopusGarage/clipsmith · ★ 0 · Data & Documents · score 73
Install: claude install-skill OctopusGarage/clipsmith
# clipsmith-ocr Deterministic local OCR executor backed by Apple Vision.framework. No network calls, no third-party cloud, no API keys. Recognition runs on-device using the same ML model as Preview and Live Text. Two implementation details that affect output and are not in Apple's public docs: - **Bounding-box coordinate origin is lower-left** (not upper-left like screen coordinates). The script compensates by sorting on `-(y + height)` descending, then `x` ascending to produce correct reading order. - **Language correction (`setUsesLanguageCorrection_`) is always enabled** — Vision silently applies a language model to fix likely OCR errors based on the primary recognition language. This improves accuracy but can silently "correct" uncommon proper nouns or technical terms to more common alternatives. ## NEVER - **NEVER pass a remote URL or HTTP path** — Vision.framework requires a local `file://` URI. Remote paths produce empty output with no error raised. - **NEVER treat empty output as success** — Vision returns an empty string (not an exception) when: image resolution is too low, format is unsupported, or text contrast is insufficient. Always check that output is non-empty when text is expected. - **NEVER use `fast` mode for Chinese-heavy images** — `fast` drops strokes on dense CJK characters; use `accurate` (default) unless throughput is more important than accuracy. - **NEVER assume pyobjc is available system-wide** — this skill is a uv project. The execution wrappe