extract-text-from-image

To extract text from a scanned PDF, the Skill converts PDF pages into images using Ghostscript and then applies Tesseract OCR to recognize the text. This process turns image-based documents into searchable and editable content.

Yes, Tesseract OCR supports multi-language text extraction. The Skill can be configured to recognize and extract text in multiple languages, ensuring accurate digitization for documents containing mixed linguistic content.

You can improve OCR accuracy by using image preprocessing steps. The Skill includes image enhancement features like resizing, grayscale conversion, and sharpening via ImageMagick to optimize image quality before Tesseract text recognition.

Yes, you need ImageMagick and Ghostscript installed alongside Tesseract OCR. These dependencies handle image manipulation and PDF-to-image conversion, which are required preprocessing steps before accurate text extraction can occur.

Yes, you can extract contact information from a business card image. The Skill uses Optical Character Recognition to process formats like PNG and JPG, making text from screenshots or photographs directly searchable and editable.

Tesseract document digitization requires clear image inputs and depends on preprocessing for accuracy. Low-resolution images or complex layouts may reduce recognition quality, making the included resizing and sharpening steps essential for reliable text extraction.