macos-vision-ocr

> I could really really use something that would OCR and classify all the screenshots I take of stuff to remember. IMHO, a Spotlight Importer[0] would be the way to go. A quick search found the MacOS Vision OCR[1] project, which might be able to be incorporated as an importer. In any event, whatever OCR approach you prefer, leveraging Spotlight would obviate the need for a service to index and then find screenshots. 0 - https://developer.apple.com/library/archive/documentation/Ca... 1 - https://github.com/bytefer/macos-vision-ocr

I've used ocrit, which uses those APIs. https://github.com/insidegui/ocrit There are also: * swiftocr - https://github.com/fny/swiftocr * macos-vision-ocr - https://github.com/bytefer/macos-vision-ocr

Anything using the Apple Vision framework is fast and surprisingly accurate: https://github.com/bytefer/macos-vision-ocr

I maintain a searchable archive of historical documents for a nonprofit, OCR'd with Tesseract over several years. Tesseract 4 was a big improvement over previous versions, but since then its accuracy has not improved at the same rate as other free solutions. These days, just uploading a PDF of scanned documents (typeset ones, not handwriting) to Google Drive and opening with Google Docs results in a text document generated with impressive quality OCR. But this is not scriptable, and doesn't provide access position information, which is needed so we can highlight search results as color overlays on the original PDF. Tesseract's hOCR mode was great for that. For the next version, we're planning to use one of the command-line wrappers to Apple's Vision framework, which is included free in MacOS. A nice one that provides position information