Open Source Mac OCR Software - Page 5

Captcha Intruder is an automatic pentesting tool to bypass captchas. -> CIntruder-v0.4 (.zip) -> md5 = 6326ab514e329e4ccd5e1533d5d53967 -> CIntruder-v0.4 (.tar.gz) ->md5 = 2256fccac505064f3b84ee2c43921a68 --------------------------------------------

dots.ocr is a cutting-edge multilingual document parsing system built on a unified vision-language model that combines layout detection, text recognition, and structural understanding into a single architecture. Unlike traditional OCR pipelines that rely on multiple specialized components, dots.ocr integrates these processes end-to-end, reducing error propagation and improving consistency across tasks. The model is designed to recognize virtually any human script, making it highly effective for global and low-resource language scenarios. It achieves state-of-the-art performance on document parsing benchmarks while maintaining a relatively compact model size, demonstrating efficiency without sacrificing accuracy. Beyond standard OCR tasks, it extends its capabilities to parse complex visual elements such as charts, diagrams, and web interfaces, converting them into structured outputs like SVG code.

Got any emails with obnoxious inline text? Long text stories with bad formatting? Files that an OCR didn't quite translate right? RTF format files and no easy way to read or modify them? Then eBookFormatter is for you!

Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.

An omnifont OCR software for KDE. Due to the fact that each step of the OCR process can be visualized you can get a quick idea of how OCR works and where the problems lie. However the program may be of minor/no use for end users in its current state.

This project is more intendet for advanced users, because it uses the architect installer, see https://wiki.manjaro.org/index.php?title=Installation_with_Manjaro_Architect If you have problems installing drivers, open up manjaro settings manager>hardware configuration and look for your drivers there. The above method requires ocr/sighted assistance. For easier navigation and for the method that works on both desktop and architect images, use mhwd-tui Hope you enjoy! Do not hesidate to send me your feetback at stasp@poczta.sytes.net or some where on SF. Thank you for checking out this project! ###A little update for 29.03.2020 Looks like i wil be rebuilding architect images too. I just forgot about the thing that may make architect more accessible with speakup, that is the cursoring support, whitch makes ncurses and such accessible.

nunn is a collection of ML algorithms and related examples written in modern C++17.

Full OCR stack for document digitalization analisys and OCR that provide external conexion by API, standard document exchange formats and database.

Typeface from Ming Dynasty woodblock printed books. A Ming typeface. Extracted from Ming Dynasty woodblock printed books (凌閔刻本). Using semi-automatic computer vision and OCR. Open-source. A work in progress. Named in honor of 閔齊伋, a 16th-century printer. Intended to be used with Kenyan-lang, the Classical Chinese programming language. Download high-resolution PDFs and split pages into images. Manually lay a grid on top of each page to generate bounding boxes for characters (potentially replaceable by an automatic corner-detection algorithm). Generate a low-poly mask for each character on the grid, and save the thumbnails (using OpenCV). First, red channel is subtracted from the grayscale, in order to clean the annotations printed in red ink. Next, the image is thresholded and fed into the contour-tracing algorithm. A metric is then used to discard shapes that are unlikely to be part of the character in interest.

QT Box Editor is tool for adjusting tesseract-ocr box files. Aim of this project is to provide easy and efficient way for editing regardless file size.

Son yıllarda, yazı tanıma konusunda yapılan çalışmalarda büyük ilerleme kaydedilmiş, bu sayede özellikle temiz ve okunabilir bir zemin üzerine basılı yazıları (matbaa ürünü ya da daktilo veya bilgisayarda yazılmış) otomatik olarak tanıyan programlar hayatımız girmeye başlamıştır. Tanıma yüzdesi yüksek olan programlar birçok kurum ve şirkette kullanılıp maliyeti düşürmekte ve hayatı oldukça kolaylaştırmaktadır. Bu çalışmada kullanıcının bir bilgisayar faresi yardımıyla el yazısı ile yazdığı sözcüklerin tanınması amaçlanmıştır. Karakter tanıma eğitimi aşaması sonrasında oluşturulan veritabanının gücüne bağlı olarak oldukça başarılı sonuçlar elde edilmiştir.

An interface to tesseract ocr