Best AI tools for< video search engineer >

Twelve Labs offers a multimodal AI platform that provides APIs for searching, classifying, and generating videos. Its AI models can understand the content of videos, including objects, actions, and speech, and can be used to create applications such as video search engines, video recommendation systems, and video editing tools. The platform is designed to be easy to use and can be integrated with a variety of programming languages and frameworks.

Clickworker is a global provider of AI training data and other data management services. With a workforce of over 6 million Clickworkers in 136 countries, Clickworker provides high-quality, reliable AI training data that represents the kind of diversity that makes AI models powerful. Clickworker's services include: * AI Datasets for ML * Audio Datasets & Voice Datasets * Image Datasets & Photo Datasets * Video Datasets * Image Annotation * SEO Content Services * Product Description Writing Services * Glossary Creation Service * Company Profile Writing Service * Surveys * Internet & Web Research Services * Categorization & Tagging * Product Categorization & Tagging * Image & Video Tagging * Sentiment Analysis * Video Analysis * Search Relevance * Product Data Management * Store Checks

SnapXam is an AI-powered math tutor that helps students learn math and physics step-by-step. It offers a variety of features, including a math solver, step-by-step solutions, and video explanations. SnapXam is available on iOS and Android devices.

Mixpeek is a powerful AI tool that offers automatic S3 processing for databases, enabling users to prepare their S3 bucket for generative AI effortlessly. It supports processing various types of data such as documents, images, audio, and video, providing real-time replication, extraction, embedding, inference, and scaling capabilities. Mixpeek simplifies the process of building custom AI applications on top of fresh data without the need to learn new technologies. The tool ensures data security, scalability, and reliability while offering an easy-to-use API and Python client for seamless integration. With Mixpeek, users can leverage multimodal understanding with just one line of code, making it a valuable asset for AI enthusiasts and developers.

Superlinked is a compute framework for your information retrieval and feature engineering systems, focused on turning complex data into vector embeddings. Vectors power most of what you already do online - hailing a cab, finding a funny video, getting a date, scrolling through a feed or paying with a tap. And yet, building production systems powered by vectors is still too hard! Our goal is to help enterprises put vectors at the center of their data & compute infrastructure, to build smarter and more reliable software.

ImageBind by Meta AI is a groundbreaking AI tool that revolutionizes the field of computer vision by introducing a new way to 'link' AI across multiple senses. It is the first AI model capable of binding data from six different modalities simultaneously, without the need for explicit supervision. By recognizing relationships between images, video, audio, text, depth, thermal, and inertial measurement units (IMUs), ImageBind enables machines to analyze various forms of information collectively. The tool achieves emergent zero-shot recognition tasks across modalities, outperforming specialist models trained for specific modalities. ImageBind upgrades existing AI models to support input from any of the six modalities, facilitating audio-based search, cross-modal search, multimodal arithmetic, and cross-modal generation.

Future Tools is a website that collects and organizes AI tools. It provides a comprehensive list of AI tools categorized into various domains, including AI detection, aggregators, avatar chat, copywriting, finance, gaming, generative art, generative code, generative video, image improvement, image scanning, inspiration, marketing, motion capture, music, podcasting, productivity, prompt guides, research, self-improvement, social media, speech-to-text, text-to-speech, text-to-video, translation, video editing, and voice modulation. The website also offers a search bar to help users find specific tools based on their needs.

HLW.AI is a comprehensive AI resource hub that provides users with a curated directory of leading AI tools and products. The platform offers a user-friendly interface and advanced search functionality to help users easily discover and compare AI solutions across various categories, including text and writing, image, video, voice, design and art, code and IT, business, marketing, chatbot, and AI detector. HLW.AI aims to empower users to make informed decisions and leverage the power of AI to enhance their productivity, creativity, and efficiency.

Aixploria is a website dedicated to artificial intelligence that allows you to discover the best AI tools directory available online. Our site features a selection of listings arranged in categories that make it easy for you to find AIs that meet your criteria. In fact, the largest list of sites using AI can be found on this page! Plus, this list is updated daily, so you can bookmark it so you don’t miss out on the latest news. Lately, the site also posts articles that explain how each AI works.

Google AI is an AI application developed by Google that focuses on responsible AI development, governance, and operations. The platform offers a wide range of AI models, products, and platforms to benefit humanity and address societal challenges. Google AI is committed to building responsible AI products and platforms powered by advanced technology for billions of people worldwide. The platform enables users to improve knowledge, learning, creativity, and productivity through various AI-assisted features and tools.

The AI Video Search Engine is an innovative tool that allows users to index and search through videos using advanced artificial intelligence technology. It enables users to find specific content within a vast library of videos quickly and efficiently. With features like image generation and a focus on startups, this tool is designed to revolutionize the way we interact with video content. Powered by cutting-edge AI algorithms, this tool offers a glimpse into the future of video search capabilities.

Muse.ai is an all-in-one video platform that provides a suite of tools for video hosting, editing, searching, and monetization. It uses artificial intelligence (AI) to automatically transcribe, index, and label videos, making them easily searchable and discoverable. Muse.ai also offers a customizable video player, analytics, and integrations with other services. It is suitable for a wide range of users, including individuals, teams, businesses, and educational institutions.

Nova AI is an online video editing platform that offers a wide range of tools and features for creating high-quality videos. Users can edit, trim, merge, add subtitles, translate, and more entirely online without the need for installation. The platform also provides AI-powered tools for tasks such as dubbing, voice generation, video analysis, and more. Nova AI aims to simplify the video editing process and help users create professional videos with ease.

Clipy is an AI-powered video search tool that allows users to search for specific moments within videos by typing their thoughts. By leveraging artificial intelligence technology, Clipy provides users with relevant timestamps instantly. The tool is available as a Chrome extension, making it convenient for users to access and use across different platforms.

Nova AI is a cloud-based video editing platform that provides users with a wide range of tools and features to create and edit videos. The platform is designed to be easy to use, even for beginners, and it offers a variety of features that are typically only found in professional video editing software. With Nova AI, users can trim, cut, merge, and resize videos, as well as add text, images, and music. The platform also includes a number of AI-powered features, such as automatic subtitle generation, text-to-speech, and video translation. Nova AI is a powerful and versatile video editing platform that is suitable for a wide range of users, from beginners to professionals.

The website is an AI tool that allows users to search for answers directly within thousands of YouTube videos. It is a free-of-cost, easy-to-navigate, and fast platform. Users can quickly find information on various topics by searching through video content. The tool leverages AI technology to provide efficient search results from a vast database of videos.

AIAI.Tools is a comprehensive directory of AI-powered tools and applications designed to enhance various aspects of work and productivity. The platform features a wide range of AI tools spanning different categories such as SEO, productivity, research, automation, and development. Users can explore and discover innovative AI solutions that leverage cutting-edge technologies like reinforcement learning algorithms, ChatGPT AI technology, and video search capabilities. AIAI.Tools aims to simplify tasks, improve efficiency, and streamline workflows by providing access to advanced AI tools that cater to diverse needs across industries.

CitizenPortal.ai is an AI tool designed for informed citizens to access transparent and accountable information about federal, state, and local government activities. It offers over 500,000 hours of searchable video content, smart assistance to inquire about government officials' statements, interactive transcripts for creating and saving video clips, and custom alerts to stay updated. The platform empowers the American public by providing searchable content and enabling users to see what politicians are saying on important issues.

Transvribe is an AI-powered tool that allows users to search any video by using AI embeddings. Users can paste a YouTube URL or choose from popular videos to transcribe. The tool is designed to make learning on YouTube more productive by providing accurate transcriptions and enabling users to ask questions about the video content. Transvribe aims to enhance the user experience by leveraging AI technology for transcription and search functionalities.

Scrivvy is a web-based tool that helps users summarize YouTube videos. It uses artificial intelligence to generate concise summaries of videos of any length. Users can search their video history to quickly find the summaries they need. Scrivvy also breaks down long videos into short chunks, making it easier to understand the content. Users can try the service risk-free with free credits when they sign up.

MaterialSearch is a tool for searching local images and videos using natural language. It provides functionalities such as text search for images, image search for images, text search for videos (providing matching video clips), image search for videos (searching for the segment in a video through a screenshot), image-text similarity calculation, and Pexels video search. The tool can be deployed through the source code or Docker image, and it supports GPU acceleration. Users can configure the tool through environment variables or a .env file. The tool is still under development, and configurations may change frequently. Users can report issues or suggest improvements through issues or pull requests.

Perplexica is an open-source AI-powered search engine that utilizes advanced machine learning algorithms to provide clear answers with sources cited. It offers various modes like Copilot Mode, Normal Mode, and Focus Modes for specific types of questions. Perplexica ensures up-to-date information by using SearxNG metasearch engine. It also features image and video search capabilities and upcoming features include finalizing Copilot Mode and adding Discover and History Saving features.

A curated repository of code recipes, demos, and resources for basic and advanced Redis use cases in the AI ecosystem. It includes demos for ArxivChatGuru, Redis VSS, Vertex AI & Redis, Agentic RAG, ArXiv Search, and Product Search. Recipes cover topics like Getting started with RAG, Semantic Cache, Advanced RAG, and Recommendation systems. The repository also provides integrations/tools like RedisVL, AWS Bedrock, LangChain Python, LangChain JS, LlamaIndex, Semantic Kernel, RelevanceAI, and DocArray. Additional content includes blog posts, talks, reviews, and documentation related to Vector Similarity Search, AI-Powered Document Search, Vector Databases, Real-Time Product Recommendations, and more. Benchmarks compare Redis against other Vector Databases and ANN benchmarks. Documentation includes QuickStart guides, official literature for Vector Similarity Search, Redis-py client library docs, Redis Stack documentation, and Redis client list.

VideoDB Python SDK allows you to interact with the VideoDB serverless database. Manage videos as intelligent data, not files. It's scalable, cost-efficient & optimized for AI applications and LLM integration. The SDK provides functionalities for uploading videos, viewing videos, streaming specific sections of videos, searching inside a video, searching inside multiple videos in a collection, adding subtitles to a video, generating thumbnails, and more. It also offers features like indexing videos by spoken words, semantic indexing, and future indexing options for scenes, faces, and specific domains like sports. The SDK aims to simplify video management and enhance AI applications with video data.

Txtai is an all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases to enable vector search with SQL, topic modeling, retrieval augmented generation, and more. Txtai can stand alone or serve as a knowledge source for large language models (LLMs). Key features include vector search with SQL, object storage, topic modeling, graph analysis, multimodal indexing, embedding creation for various data types, pipelines powered by language models, workflows to connect pipelines, and support for Python, JavaScript, Java, Rust, and Go. Txtai is open-source under the Apache 2.0 license.

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

A curated list of Generative AI projects, tools, artworks, and models

CrewAI quickstart is a small project providing starter templates for an easy start with CrewAI. It includes notebooks, Python scripts, GUI with Streamlit, and Local LLMs for various tasks like web search, CSV lookup, web scraping, PDF search, and more. Contributions are welcome to enhance the project.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

Morphic is an AI-powered answer engine with a generative UI. It utilizes a stack of Next.js, Vercel AI SDK, OpenAI, Tavily AI, shadcn/ui, Radix UI, and Tailwind CSS. To get started, fork and clone the repo, install dependencies, fill out secrets in the .env.local file, and run the app locally using 'bun dev'. You can also deploy your own live version of Morphic with Vercel. Verified models that can be specified to writers include Groq, LLaMA3 8b, and LLaMA3 70b.

Recent LLM (Large Language Models)-based CV and multi-modal works.

This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Streamlit frontend to help users quickly set up a proof of concept.

LLM Zoomcamp is a free online course focusing on real-life applications of Large Language Models (LLMs). Over 10 weeks, participants will learn to build an AI bot capable of answering questions based on a knowledge base. The course covers topics such as LLMs, RAG, open-source LLMs, vector databases, orchestration, monitoring, and advanced RAG systems. Pre-requisites include comfort with programming, Python, and the command line, with no prior exposure to AI or ML required. The course features a pre-course workshop and is led by instructors Alexey Grigorev and Magdalena Kuhn, with support from sponsors and partners.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. It supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled APIs. The tool generates JUnit tests in Java or Kotlin, focusing on fault detection, self-contained tests, SQL handling, and authentication. Known limitations include manual driver creation for whitebox testing and longer execution times for better results. EvoMaster has been funded by ERC and RCN grants.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

This repo collects AI-related utilities. ## All Categories * All Categories * ChatGPT and other closed-source LLMs * AI Search engine * Open Source LLMs * GPT/LLMs Applications * LLM training platform * Applications that integrate multiple LLMs * AI Agent * Writing * Programming Development * Translation * AI Conversation or AI Voice Conversation * Image Creation * Speech Recognition * Text To Speech * Voice Processing * AI generated music or sound effects * Speech translation * Video Creation * Video Content Summary * OCR(Optical Character Recognition)

h2oGPT is an Apache V2 open-source project that allows users to query and summarize documents or chat with local private GPT LLMs. It features a private offline database of any documents (PDFs, Excel, Word, Images, Video Frames, Youtube, Audio, Code, Text, MarkDown, etc.), a persistent database (Chroma, Weaviate, or in-memory FAISS) using accurate embeddings (instructor-large, all-MiniLM-L6-v2, etc.), and efficient use of context using instruct-tuned LLMs (no need for LangChain's few-shot approach). h2oGPT also offers parallel summarization and extraction, reaching an output of 80 tokens per second with the 13B LLaMa2 model, HYDE (Hypothetical Document Embeddings) for enhanced retrieval based upon LLM responses, a variety of models supported (LLaMa2, Mistral, Falcon, Vicuna, WizardLM. With AutoGPTQ, 4-bit/8-bit, LORA, etc.), GPU support from HF and LLaMa.cpp GGML models, and CPU support using HF, LLaMa.cpp, and GPT4ALL models. Additionally, h2oGPT provides Attention Sinks for arbitrarily long generation (LLaMa-2, Mistral, MPT, Pythia, Falcon, etc.), a UI or CLI with streaming of all models, the ability to upload and view documents through the UI (control multiple collaborative or personal collections), Vision Models LLaVa, Claude-3, Gemini-Pro-Vision, GPT-4-Vision, Image Generation Stable Diffusion (sdxl-turbo, sdxl) and PlaygroundAI (playv2), Voice STT using Whisper with streaming audio conversion, Voice TTS using MIT-Licensed Microsoft Speech T5 with multiple voices and Streaming audio conversion, Voice TTS using MPL2-Licensed TTS including Voice Cloning and Streaming audio conversion, AI Assistant Voice Control Mode for hands-free control of h2oGPT chat, Bake-off UI mode against many models at the same time, Easy Download of model artifacts and control over models like LLaMa.cpp through the UI, Authentication in the UI by user/password via Native or Google OAuth, State Preservation in the UI by user/password, Linux, Docker, macOS, and Windows support, Easy Windows Installer for Windows 10 64-bit (CPU/CUDA), Easy macOS Installer for macOS (CPU/M1/M2), Inference Servers support (oLLaMa, HF TGI server, vLLM, Gradio, ExLLaMa, Replicate, OpenAI, Azure OpenAI, Anthropic), OpenAI-compliant, Server Proxy API (h2oGPT acts as drop-in-replacement to OpenAI server), Python client API (to talk to Gradio server), JSON Mode with any model via code block extraction. Also supports MistralAI JSON mode, Claude-3 via function calling with strict Schema, OpenAI via JSON mode, and vLLM via guided_json with strict Schema, Web-Search integration with Chat and Document Q/A, Agents for Search, Document Q/A, Python Code, CSV frames (Experimental, best with OpenAI currently), Evaluate performance using reward models, and Quality maintained with over 1000 unit and integration tests taking over 4 GPU-hours.

TurboSeek is an open source AI search engine powered by Together.ai. It utilizes Next.js with Tailwind for the app router, Together AI for LLM inference, Mixtral 8x7B & Llama-3 for the LLMs, Bing for the search API, Helicone for observability, and Plausible for website analytics. The tool takes a user's question, queries the Bing search API for top results, scrapes text from the links, sends the question and context to Mixtral-8x7B, and generates follow-up questions using Llama-3-8B. Future tasks include optimizing source parsing, ignoring video links, adding regeneration option, ensuring proper citations, enabling sharing, implementing scrolling during answers, fixing hard refresh, adding caching with upstash redis, incorporating advanced RAG techniques, and adding authentication with Clerk and postgres/prisma.

Indexify is an open-source engine for building fast data pipelines for unstructured data (video, audio, images, and documents) using reusable extractors for embedding, transformation, and feature extraction. LLM Applications can query transformed content friendly to LLMs by semantic search and SQL queries. Indexify keeps vector databases and structured databases (PostgreSQL) updated by automatically invoking the pipelines as new data is ingested into the system from external data sources. **Why use Indexify** * Makes Unstructured Data **Queryable** with **SQL** and **Semantic Search** * **Real-Time** Extraction Engine to keep indexes **automatically** updated as new data is ingested. * Create **Extraction Graph** to describe **data transformation** and extraction of **embedding** and **structured extraction**. * **Incremental Extraction** and **Selective Deletion** when content is deleted or updated. * **Extractor SDK** allows adding new extraction capabilities, and many readily available extractors for **PDF**, **Image**, and **Video** indexing and extraction. * Works with **any LLM Framework** including **Langchain**, **DSPy**, etc. * Runs on your laptop during **prototyping** and also scales to **1000s of machines** on the cloud. * Works with many **Blob Stores**, **Vector Stores**, and **Structured Databases** * We have even **Open Sourced Automation** to deploy to Kubernetes in production.

A cheerful, curious tanuki, guiding you to tanuki videos!

침착맨 영상 검색기. 원본 박물관에 없는 영상은 찾을 수 없습니다. 자막 사용이 불가한 영상에 대해서는 찾을 수 없습니다. 이 아이는 멍청한 아이니까 사용할 때 고려해주세요. 어르고 달래다 보면 가끔 답을 맞춥니다.

Assists in finding online videos with a focus on free options, using a friendly, casual communication style.

I answer questions and find related YouTube videos.

Chat with any video or audio. High-quality search, summarization, insights, multi-language transcriptions, and more. We currently support Youtube and files uploaded on our website.

A resourceful guide for finding video and blog tutorials online.

Efficient Public Domain music suggestions for projects.

输入你要搜的关键词，或者丢一张图片，获取更多搜索灵感💡

Troubleshooting guide for DJI Inspire 3 drone pilots.

Expert in video production and editing techniques

An expert in video from classic to future neural network compression

Transform your brand! Provide brand and product info, and we'll craft a unique, visually stunning 30-45 second video brief. Simple, effective, impactful.

Coconut API Guide

Enthusiastic scriptwriting assistant for videos.

Balanced, user-friendly video to GIF conversions.

Creates casual-toned video ideas and shot lists in table format.

A fun game of VIDEO GAME versus VIDEO GAME. Get the conversation and debates going!

Optimizes YouTube SEO, crafts engaging Title, Description, Tags, Keywords advises on Thumbnails, and provides JSON.

I create sensational video scripts, focusing on engaging content.

Assists in downloading any video resource.