Best AI tools for< collect video testimonials >

**Famewall** is a testimonial management tool that helps businesses collect, manage, and display customer testimonials on their websites and other marketing materials. With Famewall, businesses can: * **Collect testimonials effortlessly:** Share a simple link with customers to collect testimonials, or use Famewall's collection page to automate the process. * **Manage testimonials in one place:** Keep all of your testimonials organized in one central location, making it easy to find and use them when you need them. * **Display testimonials on your website:** Use Famewall's customizable widgets to display testimonials on your website, landing pages, and other marketing materials. * **Import testimonials from multiple platforms:** Import testimonials from social media, review sites, and other platforms, all in one place. * **Collect video testimonials:** Collect video testimonials from customers with just a few clicks, and add them to your testimonial wall. Famewall is a powerful tool that can help businesses build trust and credibility with potential customers. By collecting and displaying customer testimonials, businesses can show potential customers that they are trustworthy and that their products or services are worth investing in.

Testimonial is an AI-powered tool that helps businesses collect and embed customer testimonials on their website in minutes. It provides an easy-to-use interface that allows users to create beautiful testimonial widgets, customize them to match their brand, and embed them on any web page. Testimonial also offers a range of features to help businesses manage their testimonials, such as the ability to collect testimonials from multiple sources, moderate them before they are published, and track their performance.

VideoAsk is an interactive video platform that helps businesses streamline their conversations and build relationships at scale. It offers a range of features including live calls, video funnels, video chatbots, video forms, and asynchronous video interviews. VideoAsk is easy to use and integrates with over 1,500 applications. It is used by businesses of all sizes to improve their communication and engagement.

Re-VIEW is a survey tool that allows you to collect video responses from participants. This can be helpful for getting more in-depth and personal feedback than you would from traditional text-based surveys. Re-VIEW is free to use, and you can upgrade to a paid plan if you need more features.

Surface Forms is an intelligent form builder that helps businesses collect richer customer data and convert more leads. With Surface Forms, you can create advanced multi-step forms with support for testimonials, images, videos, and animations. You can also collect partial responses, so you can see what information a user has provided before they drop off. Surface Forms integrates with popular CRMs, scheduling software, Slack, and email, so you can send form responses to over 5000+ app destinations. Surface Forms is used and trusted by businesses of all sizes, including Apex Growth, Juicebox, and Hadrius.

**StoryFile: Conversational Video AI SaaS Technology for Education and Business Solutions** StoryFile is a leading provider of Conversational Video AI SaaS technology for education and business solutions. Our mission is to make AI more human by enabling people to create, share, and experience interactive video stories that are both engaging and informative. **What is Conversational Video AI?** Conversational Video AI is a new type of artificial intelligence that allows users to interact with videos in a natural and intuitive way. With Conversational Video AI, you can ask questions, get answers, and explore content in a way that is similar to having a conversation with a real person. **How does StoryFile's Conversational Video AI work?** StoryFile's Conversational Video AI platform is powered by a proprietary machine learning algorithm that analyzes video content and generates natural language responses to user questions. This allows users to interact with videos in a way that is both engaging and informative. **What are the benefits of using StoryFile's Conversational Video AI?** There are many benefits to using StoryFile's Conversational Video AI, including: * **Increased engagement:** Conversational Video AI makes videos more engaging and interactive, which can lead to increased viewer engagement and retention. * **Improved learning:** Conversational Video AI can be used to create educational videos that are more effective and engaging than traditional videos. * **Enhanced communication:** Conversational Video AI can be used to create videos that are more effective at communicating complex information. **Who can use StoryFile's Conversational Video AI?** StoryFile's Conversational Video AI can be used by anyone who wants to create, share, or experience interactive video stories. This includes educators, businesses, marketers, and anyone else who wants to use video to communicate with their audience in a more engaging and effective way. **How can I get started with StoryFile's Conversational Video AI?** To get started with StoryFile's Conversational Video AI, you can sign up for a free trial at https://storyfile.com/free-trial/.

Soundbite is a next-generation communication tool that integrates with Microsoft Teams to provide users with a TikTok-style video and audio messaging experience. It enables users to create engaging content, foster meaningful dialogue, and collect real-time insights to enhance their communication strategies. Soundbite offers a freemium pricing model, with the first 50 active users being free forever. Key features of Soundbite include effortless content creation, authentic user engagement, and data-driven insights.

Feedeo is an AI-powered interactive video platform that allows users to create engaging and personalized videos for a variety of purposes, including marketing, sales, recruitment, e-commerce, and education. With Feedeo, users can: * Generate leads and capture user feedback through interactive videos * Showcase products and services in a more engaging way * Gamify engagement and make learning more fun and effective * Create personalized videos for onboarding, training, and customer support * Collect feedback and improve customer satisfaction Feedeo is easy to use and requires no coding or video editing skills. Users simply need to upload their photos or videos, fill out a script, and select from a variety of interactive components. Feedeo's AI technology will then automatically generate a lifelike video that can be shared with others. Feedeo is a powerful tool that can help businesses of all sizes achieve their marketing, sales, and customer service goals.

Surveyed.live is an AI-powered video survey platform that allows businesses to collect feedback and insights from customers through customizable survey templates. The platform offers features such as video surveys, AI touch response, comprehensible dashboard, Chrome extension, actionable insights, integration, predefined library, appealing survey creation, customer experience statistics, and more. Surveyed.live helps businesses enhance customer satisfaction, improve decision-making, and drive business growth by leveraging AI technology for video reviews and surveys. The platform caters to various industries including hospitality, healthcare, education, customer service, delivery services, and more, providing a versatile solution for optimizing customer relationships and improving overall business performance.

Thumblytics is a tool that helps YouTubers test their YouTube thumbnails and titles before they publish them. It uses a combination of machine learning and human feedback to help users choose the best thumbnail and title combination for their videos. Thumblytics is designed to be easy to use, even for beginners. Users simply upload their thumbnail and title variants to Thumblytics, and the tool will preview them in a YouTube template and show them to hundreds of real people to collect click data. Thumblytics then crunches the data to help users pick the highest click-through rate (CTR) thumbnail and title.

Innovatiana is a data labeling outsourcing platform that offers high-quality datasets for artificial intelligence models. They specialize in image, audio/video, and text data labeling tasks, providing ethical outsourcing with a focus on impact and transparency. Innovatiana recruits and trains their own team in Madagascar, ensuring fair pay and good working conditions. They offer competitive rates, secure data handling, and high-quality labeled data to feed AI models. The platform supports various AI tasks such as Computer Vision, Data Collection, Data Moderation, Documents Processing, and Natural Language Processing.

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.

Fuse is a smart news aggregator that delivers personalized and complete coverage of top news stories from the U.S. and around the world. Stories are covered from every angle - with articles, videos and opinions from trusted sources. Fuse employs AI/ML algorithms to continuously collect, organize, prioritize and personalize news stories. Articles, videos and opinions are collected from all the major news media outlets and automatically organized by stories and topics.

Trove is an AI-powered conversational survey platform that helps businesses collect feedback from their customers and employees. It offers a variety of features to make surveys more engaging and interactive, including the ability to ask open-ended questions, use images and videos, and provide real-time feedback. Trove also provides powerful analytics tools to help businesses understand the data they collect. Trove is used by a variety of businesses, including Fortune 500 companies, to improve their customer experience, employee engagement, and product development.

Collect.chat is a website chatbot that helps businesses collect leads, appointments, enquiries, meetings, bookings, feedbacks, orders, surveys, and suggestions. It is a drag-and-drop builder that is easy to use and requires no coding. Collect.chat can be integrated with other apps without coding, such as Salesforce, Mailchimp, and Slack. It is a great tool for businesses of all sizes to improve their online presence and customer service.

re:collect is an AI-powered tool that helps you enhance your memory, perception, and synthesis. It connects the information you consume and helps you quickly recall the right information when you need it. With re:collect, you can:

Sonny9 is an AI-powered data collection tool designed specifically for CPAs, tax preparers, and auditors. It helps professionals in these fields collect customer information and documents efficiently, minimizing the time and effort spent on back-and-forth communications. With Sonny9, users can automate repetitive tasks, receive notifications about new insights and consulting opportunities, and get prepared data for further analysis. The tool integrates with QuickBooks and can automatically extract data from documents into CSV format. Sonny9 also provides users with tips and opportunities for high-level consulting services based on customer information.

heardeer is an AI-powered user interview platform that helps businesses collect valuable feedback from their users. With heardeer, you can create custom interview questionnaires, share them with your users, and let AI manage the interviews. heardeer's AI engine will ask your users questions, follow up on their answers, and provide you with detailed insights into their feedback. This can help you understand your users' needs, improve your products and services, and make better decisions.

ChoiceChaser is an AI-powered lead generation tool that helps businesses find and connect with potential customers on social media, forums, and other online platforms. It uses natural language processing and machine learning to identify relevant posts and conversations, and then notifies users when there is a match. ChoiceChaser can help businesses save time and energy by automating the process of lead generation, and it can also help them reach a wider audience of potential customers.

Archive is an influencer marketing platform that helps businesses automate the process of finding, managing, and reporting on influencer-generated content (UGC). With Archive, businesses can collect all of their tagged UGC in one place, find the perfect piece of UGC in seconds, and run reports that show off the value of their influencer marketing campaigns. Archive also offers a no-code feed that allows businesses to showcase UGC on their website, which can help to increase conversion rates and revenue.

The 'bots' repository is a collection of guides, tools, and example bots for programming bots to play video games. It provides resources on running bots live, installing the BotLab client, debugging bots, testing bots in simulated environments, and more. The repository also includes example bots for games like EVE Online, Tribal Wars 2, and Elvenar. Users can learn about developing bots for specific games, syntax of the Elm programming language, and tools for memory reading development. Additionally, there are guides on bot programming, contributing to BotLab, and exploring Elm syntax and core library.

TempCompass is a benchmark designed to evaluate the temporal perception ability of Video LLMs. It encompasses a diverse set of temporal aspects and task formats to comprehensively assess the capability of Video LLMs in understanding videos. The benchmark includes conflicting videos to prevent models from relying on single-frame bias and language priors. Users can clone the repository, install required packages, prepare data, run inference using examples like Video-LLaVA and Gemini, and evaluate the performance of their models across different tasks such as Multi-Choice QA, Yes/No QA, Caption Matching, and Caption Generation.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

Commonplace Bot is a modern representation of the commonplace book, leveraging modern technological advancements in computation, data storage, machine learning, and networking. It aims to capture, engage, and share knowledge by providing a platform for users to collect ideas, quotes, and information, organize them efficiently, engage with the data through various strategies and triggers, and transform the data into new mediums for sharing. The tool utilizes embeddings and cached transformations for efficient data storage and retrieval, flips traditional engagement rules by engaging with the user, and enables users to alchemize raw data into new forms like art prompts. Commonplace Bot offers a unique approach to knowledge management and creative expression.

This repository contains a demo application for DepthAI, a tool that can load different networks, create pipelines, record video, and more. It provides documentation for installation and usage, including running programs through Docker. Users can explore DepthAI features via command line arguments or a clickable QT interface. Supported models include various AI models for tasks like face detection, human pose estimation, and object detection. The tool collects anonymous usage statistics by default, which can be disabled. Users can report issues to the development team for support and troubleshooting.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

Open-Sora-Plan is a project that aims to create a simple and scalable repo to reproduce Sora (OpenAI, but we prefer to call it "ClosedAI"). The project is still in its early stages, but the team is working hard to improve it and make it more accessible to the open-source community. The project is currently focused on training an unconditional model on a landscape dataset, but the team plans to expand the scope of the project in the future to include text2video experiments, training on video2text datasets, and controlling the model with more conditions.

MotionLLM is a framework for human behavior understanding that leverages Large Language Models (LLMs) to jointly model videos and motion sequences. It provides a unified training strategy, dataset MoVid, and MoVid-Bench for evaluating human behavior comprehension. The framework excels in captioning, spatial-temporal comprehension, and reasoning abilities.

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

Fuji-Web is an intelligent AI partner designed for full browser automation. It autonomously navigates websites and performs tasks on behalf of the user while providing explanations for each action step. Users can easily install the extension in their browser, access the Fuji icon to input tasks, and interact with the tool to streamline web browsing tasks. The tool aims to enhance user productivity by automating repetitive web actions and providing a seamless browsing experience.

The Second Brain AI Agent Project is a tool designed to empower personal knowledge management by automatically indexing markdown files and links, providing a smart search engine powered by OpenAI, integrating seamlessly with different note-taking methods, and enhancing productivity by accessing information efficiently. The system is built on LangChain framework and ChromaDB vector store, utilizing a pipeline to process markdown files and extract text and links for indexing. It employs a Retrieval-augmented generation (RAG) process to provide context for asking questions to the large language model. The tool is beneficial for professionals, students, researchers, and creatives looking to streamline workflows, improve study sessions, delve deep into research, and organize thoughts and ideas effortlessly.

OpenNARS-for-Applications is an implementation of a Non-Axiomatic Reasoning System, a general-purpose reasoner that adapts under the Assumption of Insufficient Knowledge and Resources. The system combines the logic and conceptual ideas of OpenNARS, event handling and procedure learning capabilities of ANSNA and 20NAR1, and the control model from ALANN. It is written in C, offers improved reasoning performance, and has been compared with Reinforcement Learning and means-end reasoning approaches. The system has been used in real-world applications such as assisting first responders, real-time traffic surveillance, and experiments with autonomous robots. It has been developed with a pragmatic mindset focusing on effective implementation of existing theory.

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.

LLMLight is a novel framework that employs Large Language Models (LLMs) as decision-making agents for Traffic Signal Control (TSC). The framework leverages the advanced generalization capabilities of LLMs to engage in a reasoning and decision-making process akin to human intuition for effective traffic control. LLMLight has been demonstrated to be remarkably effective, generalizable, and interpretable against various transportation-based and RL-based baselines on nine real-world and synthetic datasets.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

DriveLM is a multimodal AI model that enables autonomous driving by combining computer vision and natural language processing. It is designed to understand and respond to complex driving scenarios using visual and textual information. DriveLM can perform various tasks related to driving, such as object detection, lane keeping, and decision-making. It is trained on a massive dataset of images and text, which allows it to learn the relationships between visual cues and driving actions. DriveLM is a powerful tool that can help to improve the safety and efficiency of autonomous vehicles.

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Insurance providers collect and process personal health, financial, and property information, making it crucial to implement comprehensive data protection strategies.

Spa and Beauty Salons collect Customer inforation, including personal details and treatment records, necessitating a high level of confidentiality and data protection.

Public transport authorities collect data on travel patterns, fares, and sometimes personal details of passengers, necessitating strong privacy measures.

Fitness and Wellness Centers collect personal health and fitness data of their clients, including potentially sensitive health metrics, requiring careful handling and protection of this data.

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

Data Privacy for Social Media Companies & Platforms collect detailed personal information, preferences, and interactions of users, making it essential to have strong data privacy policies and practices in place.

Supercharge your personal knowledge management journey by using a highlight capturing service (such as Readwise) and then turning those highlights into useful knowledge assets. Examples include flash cards, research abstracts or articles based off the highlights you collect and choose to combine.

Travel and Hospitality Industry. Hotels, Airlines, and Travel Agencies collect personal information like travel histories, passport details, and payment information, necessitating robust privacy and security measures.

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Facilitates customer satisfaction through effective feedback management.

What Are They Thinking?

I'm Qualitative Quest, here to offer concise advice on qualitative research methods, analysis techniques, and tools.

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GA（ゴッドアルカディア）フェス第一弾のカードを引くガチャアプリです✨This is a gacha application to draw the first card of the GA (God Arcadia) festival ✨.

Enhances user experience through rigorous usability testing and feedback.

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Assists in designing experiments for your scientific questions

The AI mentor for medical education research