MacOCR macOS Text Recognition

Problem

When working with screenshots, photos, scanned documents, or receipts on macOS, a common task is extracting text from an image and feeding it into an editor, spreadsheet, or shell script. Browser-based OCR often depends on extra model services, while MacOCR relies directly on system capabilities, reducing cross-platform components and network dependencies.

How it works

• Core capability: Uses the native macOS Vision framework to recognize text in images, supporting common formats such as PNG, JPEG, TIFF, and BMP.
• Language scope: Primarily targets Simplified Chinese zh-Hans, Traditional Chinese zh-Hant, and English en-US.
• Output contract: Writes recognized text block by block to stdout, which is easy to pipe into shell workflows; if no text is recognized, the output is empty.
• Error handling: When an image cannot be loaded or recognition fails, error messages go to stderr, and the process exits with code 1 for script-level checks.

Boundaries

• Requires a macOS system with Vision framework support (macOS 10.15+).
• Requires a local swift command to be available.
• It is suited for local image text extraction, not remote files, batch service workloads, or languages beyond the supported Chinese and English sets.