Best AI tools for< Video Captioning >

ListenMonster is a free video caption generator tool that provides unmatched speech-to-text accuracy. It allows users to generate automatic subtitles in multiple languages, customize video captions, remove background noise, and export results in various formats. ListenMonster aims to offer high accuracy transcription at affordable prices, with instant results and support for 99 languages. The tool features a smart editor for easy customization, flexible export options, and automatic language detection. Subtitles are emphasized as a necessity in today's world, offering benefits such as global reach, SEO boost, accessibility, and content repurposing.

Vsub is an AI-powered video captioning tool that makes it easy to create accurate and engaging captions for your videos. With Vsub, you can automatically generate captions, highlight keywords, and add animated emojis to your videos. Vsub also offers a variety of templates to help you create professional-looking captions. Vsub is the perfect tool for anyone who wants to create high-quality video content quickly and easily.

Choppity is an AI-powered video clip maker that helps users quickly and easily create social media clips from long videos. It uses advanced AI algorithms to analyze videos and automatically generate viral clips, add animated captions, crop faces, follow speakers, and transcribe videos in 97 languages. Choppity is designed to be user-friendly and intuitive, allowing users to create professional-looking videos without any prior video editing experience.

SubTitles.Love is an AI-powered online subtitles editor that helps users easily add subtitles to their videos. The tool offers features such as auto speech recognition, support for 10+ languages, and simple editing capabilities. Users can upload any video format, tune subtitles with high accuracy, and customize the appearance before downloading the subtitled video. SubTitles.Love aims to save time and enhance audience engagement by providing automatic subtitles, resizing for social media, and affordable pricing. The platform is trusted by bloggers, podcast makers, and content producers for its quality service and community-driven approach.

SceneXplain is a cutting-edge AI tool that specializes in generating descriptive captions for images and summarizing videos. It leverages advanced artificial intelligence algorithms to analyze visual content and provide accurate and concise textual descriptions. With SceneXplain, users can easily create engaging captions for their images and obtain quick summaries of lengthy videos. The tool is designed to streamline the process of content creation and enhance the accessibility of visual media for a wide range of applications.

Line 21 is an intelligent captioning solution that provides real-time remote captioning services in over a hundred languages. The platform offers a state-of-the-art caption delivery software that combines human expertise with AI services to create, enhance, translate, and deliver live captions to various viewer destinations. Line 21 supports accessible corporations, concerts, societies, and screenings by delivering fast and accurate captions through low-latency delivery methods. The platform also features an Ai Proofreader for real-time caption accuracy, caption encoding, fast caption delivery, and automatic translations in over 100 languages.

Echo Labs is an AI-powered platform that provides captioning services for higher education institutions. The platform leverages cutting-edge technology to offer accurate and affordable captioning solutions, helping schools save millions of dollars. Echo Labs aims to make education more accessible by ensuring proactive accessibility measures are in place, starting with lowering the cost of captioning. The platform boasts a high accuracy rate of 99.8% and is backed by industry experts. With seamless integrations and a focus on inclusive learning environments, Echo Labs is revolutionizing accessibility in education.

Panda Video is a video hosting platform that offers a variety of AI-powered features to help businesses increase sales and improve security. These features include a mind map tool for visualizing video content, a quiz feature for creating interactive learning experiences, an AI-powered ebook feature for providing supplemental resources, automatic captioning, a search feature for quickly finding specific content within videos, and automatic dubbing for creating videos in multiple languages. Panda Video also offers a variety of other features, such as DRM protection to prevent piracy, smart autoplay to increase engagement, a customizable player appearance, Facebook Pixel integration for retargeting, and analytics to track video performance.

Translate.Video is an AI multi-speaker video translation tool that offers speaker diarization, voice cloning, text-to-speech, and instant voice cloning features. It allows users to translate videos to over 75 languages with just one click, making content creation and translation efficient and accessible. The tool also provides plugins for popular design software like Photoshop, Illustrator, and Figma, enabling users to accelerate creative translation. Translate.Video is designed to help creators, influencers, and enterprises reach a global audience by simplifying the captioning, subtitling, and dubbing process.

Vsub is an AI-powered platform that allows users to create faceless videos quickly and easily. With a focus on video automation, Vsub offers a range of features such as generating AI shorts with one click, multiple templates for various niches, auto captions with animated emojis, and more. The platform aims to streamline the video creation process and help users save time by automating tasks that would otherwise require manual editing. Vsub is designed to cater to content creators, marketers, and individuals looking to create engaging videos without the need for on-camera appearances.

Felo Subtitles is an AI-powered tool that provides live captions and translated subtitles for various types of content. It uses advanced speech recognition and translation algorithms to generate accurate and real-time subtitles in multiple languages. With Felo Subtitles, users can enjoy seamless communication and accessibility in different scenarios, such as online meetings, webinars, videos, and live events.

Makefilm.ai is an AI-powered platform that transforms YouTube videos into TikTok and Shorts effortlessly. It offers a range of features such as automatic generation of captions in multiple languages, customizable editing tools, real-time speech captioning, and dynamic effects. The platform aims to make video creation engaging, accessible, and professional for video creators, businesses, educators, and marketers. With Makefilm.ai, users can enhance video accessibility, reach a wider audience, and create high-quality videos with ease.

Maestra AI is an advanced platform offering transcription, subtitling, and voiceover tools powered by artificial intelligence technology. It allows users to automatically transcribe audio and video files, generate subtitles in multiple languages, and create voiceovers with diverse AI-generated voices. Maestra's services are designed to help users save time and easily reach a global audience by providing accurate and efficient transcription, captioning, and voiceover solutions.

Riverside is an online podcast and video studio that makes recording and editing at the highest quality possible, accessible to anyone. It offers features such as separate audio and video tracks, AI-powered transcription and captioning, and a text-based editor for faster post-production. Riverside is designed for individuals and businesses of all sizes, including podcasters, video creators, producers, and marketers.

AudioShake is a cloud-based audio processing platform that uses artificial intelligence (AI) to separate audio into its component parts, such as vocals, music, and effects. This technology can be used for a variety of applications, including mixing and mastering, localization and captioning, interactive audio, and sync licensing.

Evolphin is a leading AI-powered platform for Digital Asset Management (DAM) and Media Asset Management (MAM) that caters to creatives, sports professionals, marketers, and IT teams. It offers advanced AI capabilities for fast search, robust version control, and Adobe plugins. Evolphin's AI automation streamlines video workflows, identifies objects, faces, logos, and scenes in media, generates speech-to-text for search and closed captioning, and enables automations based on AI engine identification. The platform allows for editing videos with AI, creating rough cuts instantly. Evolphin's cloud solutions facilitate remote media production pipelines, ensuring speed, security, and simplicity in managing creative assets.

Captions is an AI-powered creative studio that offers a wide range of tools to simplify the video creation process. With features like automatic captioning, eye contact correction, video trimming, background noise removal, and more, Captions empowers users to create professional-grade videos effortlessly. Trusted by millions worldwide, Captions leverages the power of AI to enhance storytelling and streamline video production.

Auto Caption AI is an easy-to-use tool that generates subtitles in one click using AI. It supports over 99 languages, is extremely fast, fully editable, and offers ready-to-use templates and animated emojis. With Auto Caption AI, you can save hours of editing time and create high-quality subtitles for your videos.

UNUM is a comprehensive social media management tool designed to help users create, publish, analyze, and grow their social media channels. With features like auto-posting, AI captioning, hashtag generation, photo and video editing, and a media library, UNUM streamlines the social media workflow. It also offers insights, reports, and a social media calendar to help users track their performance and plan ahead. UNUM is trusted by over 20 million creators and teams worldwide, providing a centralized platform for managing multiple social media accounts and optimizing content strategy.

Verbit is an AI transcription and captioning tool that utilizes advanced artificial intelligence technology to convert audio and video files into accurate text. The platform offers high-quality transcription services for various industries, including legal, media, education, and more. Verbit's AI algorithms ensure fast and precise transcriptions, saving time and effort for users. With a user-friendly interface and customizable features, Verbit is a reliable solution for all transcription needs.

Grounded-VideoLLM is a Video Large Language Model specialized in fine-grained temporal grounding. It excels in tasks such as temporal sentence grounding, dense video captioning, and grounded VideoQA. The model incorporates an additional temporal stream, discrete temporal tokens with specific time knowledge, and a multi-stage training scheme. It shows potential as a versatile video assistant for general video understanding. The repository provides pretrained weights, inference scripts, and datasets for training. Users can run inference queries to get temporal information from videos and train the model from scratch.

Awesome-LLMs-for-Video-Understanding is a repository dedicated to exploring Video Understanding with Large Language Models. It provides a comprehensive survey of the field, covering models, pretraining, instruction tuning, and hybrid methods. The repository also includes information on tasks, datasets, and benchmarks related to video understanding. Contributors are encouraged to add new papers, projects, and materials to enhance the repository.

VideoLLaMA 2 is a project focused on advancing spatial-temporal modeling and audio understanding in video-LLMs. It provides tools for multi-choice video QA, open-ended video QA, and video captioning. The project offers model zoo with different configurations for visual encoder and language decoder. It includes training and evaluation guides, as well as inference capabilities for video and image processing. The project also features a demo setup for running a video-based Large Language Model web demonstration.

TRACE is a temporal grounding video model that utilizes causal event modeling to capture videos' inherent structure. It presents a task-interleaved video LLM model tailored for sequential encoding/decoding of timestamps, salient scores, and textual captions. The project includes various model checkpoints for different stages and fine-tuning on specific datasets. It provides evaluation codes for different tasks like VTG, MVBench, and VideoMME. The repository also offers annotation files and links to raw videos preparation projects. Users can train the model on different tasks and evaluate the performance based on metrics like CIDER, METEOR, SODA_c, F1, mAP, Hit@1, etc. TRACE has been enhanced with trace-retrieval and trace-uni models, showing improved performance on dense video captioning and general video understanding tasks.

VILA is a family of open Vision Language Models optimized for efficient video understanding and multi-image understanding. It includes models like NVILA, LongVILA, VILA-M3, VILA-U, and VILA-1.5, each offering specific features and capabilities. The project focuses on efficiency, accuracy, and performance in various tasks related to video, image, and language understanding and generation. VILA models are designed to be deployable on diverse NVIDIA GPUs and support long-context video understanding, medical applications, and multi-modal design.

Awesome-TimeSeries-SpatioTemporal-LM-LLM is a curated list of Large (Language) Models and Foundation Models for Temporal Data, including Time Series, Spatio-temporal, and Event Data. The repository aims to summarize recent advances in Large Models and Foundation Models for Time Series and Spatio-Temporal Data with resources such as papers, code, and data. It covers various applications like General Time Series Analysis, Transportation, Finance, Healthcare, Event Analysis, Climate, Video Data, and more. The repository also includes related resources, surveys, and papers on Large Language Models, Foundation Models, and their applications in AIOps.

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

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

Linly-Talker is an innovative digital human conversation system that integrates the latest artificial intelligence technologies, including Large Language Models (LLM) 🤖, Automatic Speech Recognition (ASR) 🎙️, Text-to-Speech (TTS) 🗣️, and voice cloning technology 🎤. This system offers an interactive web interface through the Gradio platform 🌐, allowing users to upload images 📷 and engage in personalized dialogues with AI 💬.

InternGPT (iGPT) is a pointing-language-driven visual interactive system that enhances communication between users and chatbots by incorporating pointing instructions. It improves chatbot accuracy in vision-centric tasks, especially in complex visual scenarios. The system includes an auxiliary control mechanism to enhance the control capability of the language model. InternGPT features a large vision-language model called Husky, fine-tuned for high-quality multi-modal dialogue. Users can interact with ChatGPT by clicking, dragging, and drawing using a pointing device, leading to efficient communication and improved chatbot performance in vision-related tasks.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

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.

NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.

InternVL scales up the ViT to _**6B parameters**_ and aligns it with LLM. It is a vision-language foundation model that can perform various tasks, including: **Visual Perception** - Linear-Probe Image Classification - Semantic Segmentation - Zero-Shot Image Classification - Multilingual Zero-Shot Image Classification - Zero-Shot Video Classification **Cross-Modal Retrieval** - English Zero-Shot Image-Text Retrieval - Chinese Zero-Shot Image-Text Retrieval - Multilingual Zero-Shot Image-Text Retrieval on XTD **Multimodal Dialogue** - Zero-Shot Image Captioning - Multimodal Benchmarks with Frozen LLM - Multimodal Benchmarks with Trainable LLM - Tiny LVLM InternVL has been shown to achieve state-of-the-art results on a variety of benchmarks. For example, on the MMMU image classification benchmark, InternVL achieves a top-1 accuracy of 51.6%, which is higher than GPT-4V and Gemini Pro. On the DocVQA question answering benchmark, InternVL achieves a score of 82.2%, which is also higher than GPT-4V and Gemini Pro. InternVL is open-sourced and available on Hugging Face. It can be used for a variety of applications, including image classification, object detection, semantic segmentation, image captioning, and question answering.

SD.Next is an Image Diffusion implementation with advanced features. It offers multiple UI options, diffusion models, and built-in controls for text, image, batch, and video processing. The tool is multiplatform, supporting Windows, Linux, MacOS, nVidia, AMD, IntelArc/IPEX, DirectML, OpenVINO, ONNX+Olive, and ZLUDA. It provides optimized processing with the latest torch developments, including model compile, quantize, and compress functionalities. SD.Next also features Interrogate/Captioning with various models, queue management, automatic updates, and mobile compatibility.

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.

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.

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

Creative advisor for video virality potential

Tech-focused guide on AI videos, creation, and best practices

Tech-focused AI on video creation, covering fakes, tools, and best practices.

Develop a video strategy, concept & storyboard

Engaging Descriptions for YouTube videos.

Specializes in writing video prompts

Guides video content strategy to optimize brand visibility.

AI Video Maker. Generate videos for social media - YouTube, Instagram, TikTok and more! Free text to video & speech tool with AI Avatars, TTS, music, and stock footage.