SnackzAI

Oku is a content aggregation and filtering platform designed to eliminate digital noise and deliver a focused internet experience. It transforms scattered feeds and content sources into a single, customizable dashboard, allowing users to review information in minutes without ads, popups, or algorithmic manipulation. Oku is ideal for professionals, researchers, and anyone overwhelmed by information overload, providing features like Grid Focus and Reader Digest for efficient consumption. By curating content from various sources like Reddit, news sites, and AI blogs, Oku empowers users to stay informed on specific topics without distraction, making it an essential tool for knowledge workers seeking clarity and efficiency in their online information consumption.

Magpie is a free, open-source Chrome extension that summarizes YouTube videos using AI. Users must provide their own API key. The extension requires no accounts or tracking. It provides instant summaries of video content, aiding in research and information gathering.

chatgpt-google-summary-extension is a Chrome extension that provides ChatGPT summaries for Google search results and YouTube videos. It supports multiple platforms including Yahoo! News, PubMed, and GitHub. The extension offers cross-language summaries and assists with email writing and web content Q&A.

AI-Video-Transcriber is an open-source tool that transcribes and summarizes video content using AI. It supports multiple video platforms, including YouTube and TikTok. The tool utilizes Faster-Whisper for speech-to-text conversion and offers AI-powered text optimization. It is multi-platform and supports multiple languages.

SumEval is an open-source, multi-language evaluation framework for text summarization. It is designed to test and compare text summarization algorithms. SumEval is well-tested and provides ROUGE-X score comparisons with the original Perl script.

text-summarization-tensorflow is a TensorFlow implementation of text summarization using a seq2seq library. It employs an encoder-decoder model with an attention mechanism. The tool uses Glove pre-trained vectors for word embedding and LSTM cells for encoding and decoding.