Based on the video it works amazingly well. I’ve tried finding a usable way for open source text recognition on desktop, and haven’t found anything even close to this.
Like, I've got scans of letters, machine-written, 300dpi, perfect black/white 1-bit depth, no marks or scratches, perfect quality — and OCRmyPDF (using tesseract) absolutely fails at this task, returning only bullshit. Even if I set the language correctly, or even set the wordlist to a manual transcription of the PDF.
I also tried using OCR on screenshots, with the same miserable result.
How does Apple’s Vision API do so much better at this kind of task? Is there some trick I'm missing?
Like, the images I supply are of such high quality that you can literally just split into characters and search for the nearest match in a database of latin characters, and even that would return better results than tesseract.
Like, I've got scans of letters, machine-written, 300dpi, perfect black/white 1-bit depth, no marks or scratches, perfect quality — and OCRmyPDF (using tesseract) absolutely fails at this task, returning only bullshit. Even if I set the language correctly, or even set the wordlist to a manual transcription of the PDF.
I also tried using OCR on screenshots, with the same miserable result.
How does Apple’s Vision API do so much better at this kind of task? Is there some trick I'm missing?
Like, the images I supply are of such high quality that you can literally just split into characters and search for the nearest match in a database of latin characters, and even that would return better results than tesseract.