5 रिपॉजिटरी
Tools for processing spoken dialogue from videos into searchable text for analysis.
Distinct from Video: Focuses on the text-based analysis of dialogue rather than visual video processing or repurposed content
Explore 5 awesome GitHub repositories matching graphics & multimedia · Video Transcript Analysis. Refine with filters or upvote what's useful.
youtube-transcript-api is a Python library designed to retrieve and download subtitles and captions from YouTube videos using video IDs. It functions as an API client that extracts text and timing data for video content. The project includes a wrapper for automated translation, allowing transcripts to be converted into different target languages. It also features a retrieval system that supports routing requests through HTTP, HTTPS, or SOCKS proxies to avoid IP blocking and regional restrictions. The library provides tools for identifying available subtitle tracks and converting raw transcri
Converts spoken video dialogue into searchable text for research, indexing, and content analysis.
यह प्रोजेक्ट n8n वर्कफ़्लो टेम्प्लेट्स और स्ट्रक्चरल ब्लूप्रिंट्स की एक लाइब्रेरी है जिसे बिजनेस प्रोसेसेस और AI टास्क को ऑटोमेट करने के लिए डिज़ाइन किया गया है। यह JSON फाइल्स का एक संग्रह प्रदान करता है जिन्हें ऑटोमेशन सीक्वेंस डिप्लॉय करने के लिए वर्कफ़्लो इंजन में इम्पोर्ट किया जा सकता है, जिसमें वेक्टर डेटाबेस और लार्ज लैंग्वेज मॉडल्स को इंटीग्रेट करने के लिए विशेष कॉन्फ़िगरेशन शामिल हैं। यह संग्रह कॉन्टेक्स्ट-अवेयर AI एजेंट्स के डेवलपमेंट पर केंद्रित है, जो इंटेलिजेंट डेटा जनरेशन और रिट्रीवल पाइपलाइन्स बनाने के लिए मेमोरी बफ़र्स और रिट्रीवल सिस्टम्स का उपयोग करते हैं। ये टेम्प्लेट्स AI-संचालित डेटा एनालिसिस, मीडिया और सोशल मीडिया मैनेजमेंट के लिए कंटेंट पाइपलाइन्स और कानूनी, स्वास्थ्य सेवा, रियल एस्टेट व ई-कॉमर्स जैसे क्षेत्रों के लिए उद्योग-विशिष्ट ऑटोमेशन सहित क्षमताओं के एक विस्तृत क्षेत्र को कवर करते हैं।
Ships workflows that transform video transcripts into structured blog articles using language models.
FunClip is an open-source tool that transcribes speech from video files and clips segments based on text, speaker, or AI analysis. It combines speech recognition with speaker diarization, audio event detection, and visual content understanding to identify and extract relevant portions of a video. The tool distinguishes itself through several integrated capabilities. It supports hotword-weighted speech recognition, which improves transcription accuracy for specific terms like names or jargon by boosting their probability during decoding. A large language model can interpret the transcribed tex
Uses a large language model to interpret transcribed text and select relevant video segments based on natural language prompts.
Vibe-tools is a command-line interface that provides a unified way to query multiple AI models, analyze codebases, plan and execute complex tasks, search the web, and analyze YouTube videos. It combines several distinct tools into a single CLI: a multi-model AI query tool, an AI codebase analyzer, a task automation CLI, a web-enabled AI assistant, and a YouTube video analysis CLI. The tool can send prompts to any supported AI model, retrieve documentation from configured sources, and generate implementation plans by analyzing codebase files with multiple AI models. It differentiates through i
Generates summaries, transcripts, and analyses of YouTube videos using AI with native video understanding.
Tubular is a browser extension designed to enhance the YouTube video playback experience. It functions by restoring missing metadata and automating the removal of unwanted content from videos. The project integrates a sponsor blocker that automatically skips sponsored segments using a crowdsourced database of timestamps. Additionally, it includes a dislike restorer that retrieves and displays original dislike counts via third-party data archives.
Restores original dislike counts for YouTube videos using third-party archives.