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Kadoa is an AI-powered, no-code platform for web data extraction. It allows users to scrape web data, monitor changes, and integrate insights into workflows. Kadoa supports smart navigation and autonomous operation for accurate and up-to-date data collection. It caters to various use cases, including e-commerce and AI training.

Reworkd is an AI-powered platform that optimizes web data extraction. It generates and repairs scraping code, adapting to website changes automatically. Reworkd's no-code interface allows companies to scale their web data extraction without building individual scraping bots. It offers a community-driven initiative for AI democratization.

Deep-text-recognition-benchmark is a PyTorch implementation for text recognition using deep learning methods. It provides a four-stage STR framework suitable for most existing STR models. The tool allows for module-wise contributions to performance in terms of accuracy. It includes training and evaluation data, failure cases, and cleansed labels.

YAKE is an unsupervised automatic keyword extraction method for single documents. It uses text statistical features to select important keywords. YAKE requires no training and is a lightweight solution. It can be used for text summarization and content tagging.

Scylla is an intelligent proxy pool designed to extract content from the internet. It allows users to gather data for building large language models. The tool is open-source and intended for use in AI development and research. Scylla helps automate the process of collecting online information.

Trafilatura is a Python and command-line tool designed for gathering text and metadata from the web. It facilitates crawling, scraping, and extraction of data. The tool supports output in various formats, including CSV, JSON, HTML, MD, TXT, and XML. It is useful for researchers and developers needing to process web content.