I struggle to recognize characters in stylized comic fonts and need OCR that can extract them reliably.

Provide OCR optimized for stylized comic and display fonts to accurately extract characters from scanned pages or images. This helps users convert comic text into selectable, searchable, and editable text with fewer recognition errors.

This feature focuses on improving OCR accuracy for highly stylized comic fonts, hand-drawn lettering, and decorative display type that standard OCR often misreads. Users can upload or capture an image (such as a comic panel, scanned page, or screenshot) and run text extraction tailored to these challenging letterforms. The system prioritizes reliable character recognition across varied stroke widths, exaggerated shapes, and irregular spacing common in comics. It supports extracting text in a way that is usable for copying, searching, translating, and editing. The feature aims to reduce common mistakes like confusing similar-looking glyphs, dropping punctuation, or merging/splitting words incorrectly. It can be used for accessibility (making text readable by screen readers), studying or referencing dialogue, and building searchable archives of comic pages. It is also useful for creators and editors who need to digitize lettered pages or proofs into editable text. By producing cleaner OCR output, users spend less time manually correcting transcriptions and more time using the extracted content.