[Thesis] Video Text Extraction

Engine for automated the process of scraping PDFs into local and convert those PDFs into text by performing OCR.

PyQt5를 사용한 간단한 도서 스캐너 프로젝트 (바코드 인식과 텍스트 추출을 통한 도서 정보를 검색 및 표시)

custom github action to parse issue body

Harnesses the power of OpenAI's to revolutionize the way you consume information. Say goodbye to information overload and hello to quick and comprehensive understanding. Let our AI-Powered Content Summarizer extract the key insights from any text, allowing you to focus on what matters most.

Python code to extract words and in turn extract letters using pytesseract

Extract all the texts of any project with HTML files and generate a KV (Key-Value) file, key = reference key, value = extracted text.

Arachnio client library for Java 11+

Retrieve data from two different websites, loading them into the PostgreSQL database using Python, and combine them to get and present new information

Tesseract-OCR quick implementation. Linked with stack-overflow question

Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.

Api to get text from multiple types of files

A simple web application built with React which allows to upload images containing text, select the language of the text for recognition, and extract the text from the image. As quick as a finger snap - SnapText.

tokyo, a REST API, when given any type of document 📄, Identifies mime-type 🧐. Suggests extension 🦔. Alas Extracts text 💪.

Heuristic based boilerplate removal tool

package for ml training in GCP

An application that translates foreign text on signboards, menu cards, etc. by capturing its image and translating it to desired language in real time supporting Spanish, German, French, Punjabi, Hindi, etc

prnt.sc / lightshot crawler, nudity detection and text extraction to a sqlite database

Design Parts Active Text by HTML5 Canvas

A repository to demonstrate some of the concepts behind large language models, transformer (foundation) models, in-context learning, and prompt engineering using open source large language models like Bloom and co:here.