🔥 openproject | Ruby
🎯 Primary Use Case:
Project management and team collaboration.
✨ Key Features:
• Project planning and scheduling
• Product roadmap and release planning
• Task management and team collaboration
• Agile and Scrum
• Time tracking, cost reporting, and budgeting
📖 Summary:
OpenProject is a web-based, open-source project management software designed to help teams manage projects, tasks, and goals. It offers features for project planning, task management, agile development, time tracking, and bug tracking, with integrations like GitHub to enhance collaboration.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🎯 Primary Use Case:
Project management and team collaboration.
✨ Key Features:
• Project planning and scheduling
• Product roadmap and release planning
• Task management and team collaboration
• Agile and Scrum
• Time tracking, cost reporting, and budgeting
📖 Summary:
OpenProject is a web-based, open-source project management software designed to help teams manage projects, tasks, and goals. It offers features for project planning, task management, agile development, time tracking, and bug tracking, with integrations like GitHub to enhance collaboration.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 compozy | Go
🎯 Primary Use Case:
Orchestrating multi-agent AI systems for production-ready automation.
✨ Key Features:
• Declarative Workflows
• Developer-Focused CLI with hot-reloading
• Advanced Task Orchestration (parallel, sequential, conditional)
• Extensible Tools (TypeScript/JavaScript)
• Multi-Model Support (OpenAI, Anthropic, Google, etc.)
📖 Summary:
Compozy is an agentic orchestration framework built in Go that simplifies the creation and management of multi-agent AI systems. It uses declarative YAML to define workflows and offers features like advanced task orchestration, multi-model support, and enterprise-ready capabilities for building scalable and reliable AI applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Orchestrating multi-agent AI systems for production-ready automation.
✨ Key Features:
• Declarative Workflows
• Developer-Focused CLI with hot-reloading
• Advanced Task Orchestration (parallel, sequential, conditional)
• Extensible Tools (TypeScript/JavaScript)
• Multi-Model Support (OpenAI, Anthropic, Google, etc.)
📖 Summary:
Compozy is an agentic orchestration framework built in Go that simplifies the creation and management of multi-agent AI systems. It uses declarative YAML to define workflows and offers features like advanced task orchestration, multi-model support, and enterprise-ready capabilities for building scalable and reliable AI applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 VERT | Svelte
🎯 Primary Use Case:
Converting files directly on a user's device without relying on cloud services.
✨ Key Features:
• Local file conversion using WebAssembly
• No file or file size limits
• Support for 250+ file formats
• Conversion settings
• User-friendly interface built with Svelte
📖 Summary:
VERT is a file conversion utility that performs conversions locally using WebAssembly, offering privacy and eliminating file size limits. It supports a wide range of file formats (250+) including images, audio, documents, and video, with conversion settings and a user-friendly Svelte interface.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Converting files directly on a user's device without relying on cloud services.
✨ Key Features:
• Local file conversion using WebAssembly
• No file or file size limits
• Support for 250+ file formats
• Conversion settings
• User-friendly interface built with Svelte
📖 Summary:
VERT is a file conversion utility that performs conversions locally using WebAssembly, offering privacy and eliminating file size limits. It supports a wide range of file formats (250+) including images, audio, documents, and video, with conversion settings and a user-friendly Svelte interface.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 PyUIBuilder | JavaScript
🎯 Primary Use Case:
Building Python GUIs with a drag-and-drop interface, simplifying the GUI development process for multiple frameworks.
✨ Key Features:
• GUI builder for Tkinter
• GUI builder for CustomTkinter
• GUI builder for Kivy
• Upcoming support for PySide
• Drag-and-drop interface
📖 Summary:
PyUIBuilder is a Python GUI builder that aims to simplify the process of creating graphical user interfaces. It supports multiple frameworks like Tkinter, CustomTkinter, and Kivy, with PySide support planned. The tool allows users to build GUIs with a drag-and-drop interface, similar to Canva.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Building Python GUIs with a drag-and-drop interface, simplifying the GUI development process for multiple frameworks.
✨ Key Features:
• GUI builder for Tkinter
• GUI builder for CustomTkinter
• GUI builder for Kivy
• Upcoming support for PySide
• Drag-and-drop interface
📖 Summary:
PyUIBuilder is a Python GUI builder that aims to simplify the process of creating graphical user interfaces. It supports multiple frameworks like Tkinter, CustomTkinter, and Kivy, with PySide support planned. The tool allows users to build GUIs with a drag-and-drop interface, similar to Canva.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 MicroPythonOS | Python
🎯 Primary Use Case:
Providing a comprehensive operating system environment for microcontrollers, enabling more complex applications and system-level functionalities.
✨ Key Features:
• Operating system for microcontrollers
• ESP32 support
• Inspired by Android and iOS
📖 Summary:
MicroPythonOS is a complete operating system designed for microcontrollers, particularly the ESP32. It aims to bring operating system-level functionalities, drawing inspiration from Android and iOS, to resource-constrained environments.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Providing a comprehensive operating system environment for microcontrollers, enabling more complex applications and system-level functionalities.
✨ Key Features:
• Operating system for microcontrollers
• ESP32 support
• Inspired by Android and iOS
📖 Summary:
MicroPythonOS is a complete operating system designed for microcontrollers, particularly the ESP32. It aims to bring operating system-level functionalities, drawing inspiration from Android and iOS, to resource-constrained environments.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 droidrun | Python
🎯 Primary Use Case:
Automating device interactions on Android and iOS devices using natural language commands through LLM agents.
✨ Key Features:
• Control Android and iOS devices with natural language commands
• Supports multiple LLM providers (OpenAI, Anthropic, Gemini, Ollama, DeepSeek)
• Planning capabilities for complex multi-step tasks
• Easy to use CLI with enhanced debugging features
📖 Summary:
DroidRun is a framework for controlling Android and iOS devices using LLM agents, enabling automation of device interactions through natural language commands. It supports multiple LLM providers and offers features like planning capabilities, a CLI with debugging, a Python API, screenshot analysis, and execution tracing.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating device interactions on Android and iOS devices using natural language commands through LLM agents.
✨ Key Features:
• Control Android and iOS devices with natural language commands
• Supports multiple LLM providers (OpenAI, Anthropic, Gemini, Ollama, DeepSeek)
• Planning capabilities for complex multi-step tasks
• Easy to use CLI with enhanced debugging features
📖 Summary:
DroidRun is a framework for controlling Android and iOS devices using LLM agents, enabling automation of device interactions through natural language commands. It supports multiple LLM providers and offers features like planning capabilities, a CLI with debugging, a Python API, screenshot analysis, and execution tracing.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🚀 Telegram-Reporter-Tool | Python
🎯 Primary Use Case:
Automating Telegram reporting, user management, content scraping, and marketing tasks without requiring coding expertise.
✨ Key Features:
• Scrape members, messages, media, and channels (including hidden members)
• Add members to groups/channels automatically (with optional premium member filtering)
📖 Summary:
The Telegram-Reporter-Tool is a Python-based application designed to automate various Telegram-related tasks, primarily focusing on reporting, scraping, and managing Telegram users and content. It aims to simplify these processes for users without requiring coding skills, offering features like mass reporting, member adding, content scraping, and automated messaging.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automating Telegram reporting, user management, content scraping, and marketing tasks without requiring coding expertise.
✨ Key Features:
• Scrape members, messages, media, and channels (including hidden members)
• Add members to groups/channels automatically (with optional premium member filtering)
📖 Summary:
The Telegram-Reporter-Tool is a Python-based application designed to automate various Telegram-related tasks, primarily focusing on reporting, scraping, and managing Telegram users and content. It aims to simplify these processes for users without requiring coding skills, offering features like mass reporting, member adding, content scraping, and automated messaging.
🔗 Links:
• View Project
================
🔓 Open Source
👍1
✨ seedbox-lite | JavaScript
🎯 Primary Use Case:
Streaming torrents instantly on various devices.
✨ Key Features:
• Instant Streaming
• Password Protection
• Mobile Optimized
• Smart Video Player
• Fast Setup
📖 Summary:
SeedBox Lite is a lightweight torrent streaming application that allows users to instantly stream movies and TV shows without waiting for complete downloads. It provides a Netflix-like experience with features like password protection, mobile optimization, and a smart video player, making it easy to watch torrent content on various devices.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Streaming torrents instantly on various devices.
✨ Key Features:
• Instant Streaming
• Password Protection
• Mobile Optimized
• Smart Video Player
• Fast Setup
📖 Summary:
SeedBox Lite is a lightweight torrent streaming application that allows users to instantly stream movies and TV shows without waiting for complete downloads. It provides a Netflix-like experience with features like password protection, mobile optimization, and a smart video player, making it easy to watch torrent content on various devices.
🔗 Links:
• View Project
================
🔓 Open Source
💡 flycut-caption | TypeScript
🎯 Primary Use Case:
Creating and editing video subtitles with AI-powered speech recognition and visual editing tools.
✨ Key Features:
• Intelligent Speech Recognition
• Visual Subtitle Editing
• Real-time Video Preview
• Multi-format Export
• Subtitle Style Customization
📖 Summary:
FlyCut Caption is a React component for video subtitle editing, leveraging AI-powered speech recognition. It offers features like visual subtitle editing, real-time video preview, multi-format export, and subtitle style customization, making it a comprehensive tool for creating and editing video subtitles.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Creating and editing video subtitles with AI-powered speech recognition and visual editing tools.
✨ Key Features:
• Intelligent Speech Recognition
• Visual Subtitle Editing
• Real-time Video Preview
• Multi-format Export
• Subtitle Style Customization
📖 Summary:
FlyCut Caption is a React component for video subtitle editing, leveraging AI-powered speech recognition. It offers features like visual subtitle editing, real-time video preview, multi-format export, and subtitle style customization, making it a comprehensive tool for creating and editing video subtitles.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ UP2You | Python
🎯 Primary Use Case:
Generating personalized 3D human avatars from a collection of photos.
✨ Key Features:
• Fast 3D human reconstruction
• Tuning-free pipeline
• Uses unconstrained photo collections as input
• Leverages pre-trained models
• Based on MV-Adapter, PuzzleAvatar, VGGT, PSHuman, and SOAP repositories and THuman2.1, CustomHumans, 2k2k, Human4DiT, 4D-Dress, and PuzzleIOI datasets
📖 Summary:
The UP2You repository provides a method for fast reconstruction of a 3D human model from unconstrained photo collections. It offers a tuning-free pipeline for generating personalized 3D avatars, leveraging pre-trained models and publicly available datasets.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Generating personalized 3D human avatars from a collection of photos.
✨ Key Features:
• Fast 3D human reconstruction
• Tuning-free pipeline
• Uses unconstrained photo collections as input
• Leverages pre-trained models
• Based on MV-Adapter, PuzzleAvatar, VGGT, PSHuman, and SOAP repositories and THuman2.1, CustomHumans, 2k2k, Human4DiT, 4D-Dress, and PuzzleIOI datasets
📖 Summary:
The UP2You repository provides a method for fast reconstruction of a 3D human model from unconstrained photo collections. It offers a tuning-free pipeline for generating personalized 3D avatars, leveraging pre-trained models and publicly available datasets.
🔗 Links:
• View Project
================
🔓 Open Source
✨ theHarvester | Python
🎯 Primary Use Case:
Reconnaissance and information gathering for red team assessments and penetration testing.
✨ Key Features:
• Email harvesting
• Subdomain enumeration
• IP address discovery
• URL extraction
• OSINT gathering from multiple public resources
📖 Summary:
theHarvester is an OSINT tool used during the reconnaissance phase of penetration testing and red team assessments. It gathers information like emails, subdomains, IPs, and URLs from various public resources to map a domain's external threat landscape.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Reconnaissance and information gathering for red team assessments and penetration testing.
✨ Key Features:
• Email harvesting
• Subdomain enumeration
• IP address discovery
• URL extraction
• OSINT gathering from multiple public resources
📖 Summary:
theHarvester is an OSINT tool used during the reconnaissance phase of penetration testing and red team assessments. It gathers information like emails, subdomains, IPs, and URLs from various public resources to map a domain's external threat landscape.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 mediabunny | TypeScript
🎯 Primary Use Case:
Reading, writing, and converting media files in the browser.
✨ Key Features:
• Wide format support (MP4, MOV, WebM, MKV, WAVE, MP3, Ogg, ADTS, FLAC)
• Built-in encoding & decoding (25+ codecs, WebCodecs API)
• High precision (microsecond-accurate)
• Conversion API (transmuxing, transcoding, resizing, etc.)
• Streaming I/O
📖 Summary:
Mediabunny is a JavaScript library written in TypeScript for reading, writing, and converting media files directly in the browser. It supports a wide range of formats and codecs, aiming to provide high-performance media operations with zero dependencies and tree-shakable bundling.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Reading, writing, and converting media files in the browser.
✨ Key Features:
• Wide format support (MP4, MOV, WebM, MKV, WAVE, MP3, Ogg, ADTS, FLAC)
• Built-in encoding & decoding (25+ codecs, WebCodecs API)
• High precision (microsecond-accurate)
• Conversion API (transmuxing, transcoding, resizing, etc.)
• Streaming I/O
📖 Summary:
Mediabunny is a JavaScript library written in TypeScript for reading, writing, and converting media files directly in the browser. It supports a wide range of formats and codecs, aiming to provide high-performance media operations with zero dependencies and tree-shakable bundling.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 DrawPen | JavaScript
🎯 Primary Use Case:
Real-time screen annotation for presentations, tutorials, or demonstrations.
✨ Key Features:
• Screen annotation
• Cross-platform support (macOS, Windows, Linux)
• Various annotation tools (pen, shapes, text, highlighter, laser, eraser)
• Customizable keybindings
• Toolbar and whiteboard visibility control
📖 Summary:
DrawPen is a cross-platform screen annotation tool that allows users to draw on their screen in real-time. It supports macOS, Windows, and Linux and offers features like pen, shapes, text, highlighter, laser pointer, and eraser. It also provides customizable keybindings for quick access to different tools.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Real-time screen annotation for presentations, tutorials, or demonstrations.
✨ Key Features:
• Screen annotation
• Cross-platform support (macOS, Windows, Linux)
• Various annotation tools (pen, shapes, text, highlighter, laser, eraser)
• Customizable keybindings
• Toolbar and whiteboard visibility control
📖 Summary:
DrawPen is a cross-platform screen annotation tool that allows users to draw on their screen in real-time. It supports macOS, Windows, and Linux and offers features like pen, shapes, text, highlighter, laser pointer, and eraser. It also provides customizable keybindings for quick access to different tools.
🔗 Links:
• View Project
================
🔓 Open Source
✨ KeyTik | Python
🎯 Primary Use Case:
Automating repetitive tasks and customizing keyboard/mouse input for improved efficiency and accessibility.
✨ Key Features:
• Key mapping
• Click automation
• Macro creation
• Multi-profile support
• Bind to Programs and Devices
📖 Summary:
KeyTik is a Python-based automation tool that leverages AutoHotkey to provide key mapping, macro creation, and click automation functionalities. It allows users to create custom profiles for remapping keys, automating mouse clicks, and executing complex macros across various applications and devices.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating repetitive tasks and customizing keyboard/mouse input for improved efficiency and accessibility.
✨ Key Features:
• Key mapping
• Click automation
• Macro creation
• Multi-profile support
• Bind to Programs and Devices
📖 Summary:
KeyTik is a Python-based automation tool that leverages AutoHotkey to provide key mapping, macro creation, and click automation functionalities. It allows users to create custom profiles for remapping keys, automating mouse clicks, and executing complex macros across various applications and devices.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 MassGen | Python
🎯 Primary Use Case:
Scaling GenAI applications through multi-agent collaboration.
✨ Key Features:
• Cross-Model/Agent Synergy
• Parallel Processing
• Intelligence Sharing
• Consensus Building
• Live Visualization
📖 Summary:
MassGen is an open-source multi-agent system designed for scaling GenAI applications. It enables parallel processing, intelligence sharing, and consensus building among multiple AI agents to solve complex tasks, inspired by systems like Grok Heavy and Gemini Deep Think. The system supports features like cross-model synergy, live visualization, and adaptive coordination.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Scaling GenAI applications through multi-agent collaboration.
✨ Key Features:
• Cross-Model/Agent Synergy
• Parallel Processing
• Intelligence Sharing
• Consensus Building
• Live Visualization
📖 Summary:
MassGen is an open-source multi-agent system designed for scaling GenAI applications. It enables parallel processing, intelligence sharing, and consensus building among multiple AI agents to solve complex tasks, inspired by systems like Grok Heavy and Gemini Deep Think. The system supports features like cross-model synergy, live visualization, and adaptive coordination.
🔗 Links:
• View Project
================
🔓 Open Source
💡 NextTube | JavaScript
🎯 Primary Use Case:
Providing a privacy-focused, ad-free alternative to YouTube for watching online videos.
✨ Key Features:
• Modern UI design
• Ad-free experience with built-in adblock
• Privacy-focused
• Customizable video playback controls
• Search functionality
📖 Summary:
NextTube is a ReactJS-based YouTube alternative frontend that prioritizes user privacy and an ad-free experience. It offers features like a modern UI, customizable playback controls, search functionality, playlist management, and user account creation, aiming to provide a more secure and user-friendly video-watching platform.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Providing a privacy-focused, ad-free alternative to YouTube for watching online videos.
✨ Key Features:
• Modern UI design
• Ad-free experience with built-in adblock
• Privacy-focused
• Customizable video playback controls
• Search functionality
📖 Summary:
NextTube is a ReactJS-based YouTube alternative frontend that prioritizes user privacy and an ad-free experience. It offers features like a modern UI, customizable playback controls, search functionality, playlist management, and user account creation, aiming to provide a more secure and user-friendly video-watching platform.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 activepieces | TypeScript
🎯 Primary Use Case:
Automating workflows and building AI agents through a no-code interface with extensible, open-source integrations.
✨ Key Features:
• AI workflow automation
• Open-source piece integrations
• TypeScript-based piece framework
📖 Summary:
Activepieces is an open-source, TypeScript-based platform for AI workflow automation and building AI agents. It provides a no-code interface for creating workflows and integrates with various services through customizable pieces, which can also be used as MCP (Multi-Cloud Processing) servers for AI agents. It aims to be an extensible and secure alternative to Zapier, with a focus on AI-first capabilities and community contributions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating workflows and building AI agents through a no-code interface with extensible, open-source integrations.
✨ Key Features:
• AI workflow automation
• Open-source piece integrations
• TypeScript-based piece framework
📖 Summary:
Activepieces is an open-source, TypeScript-based platform for AI workflow automation and building AI agents. It provides a no-code interface for creating workflows and integrates with various services through customizable pieces, which can also be used as MCP (Multi-Cloud Processing) servers for AI agents. It aims to be an extensible and secure alternative to Zapier, with a focus on AI-first capabilities and community contributions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 youtu-agent | Python
🎯 Primary Use Case:
Building, running, and evaluating autonomous agents with open-source models for various tasks like data analysis and research.
✨ Key Features:
• Verified performance on WebWalkerQA and GAIA benchmarks using DeepSeek-V3 series models.
• Open-source friendly and cost-aware design.
• Out-of-the-box support for CSV analysis, literature review, and file organization.
📖 Summary:
Youtu-Agent is a flexible, high-performance framework for building, running, and evaluating autonomous agents using open-source models. It supports tasks like data analysis, file processing, and deep research, and is optimized for accessible, low-cost deployment.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Building, running, and evaluating autonomous agents with open-source models for various tasks like data analysis and research.
✨ Key Features:
• Verified performance on WebWalkerQA and GAIA benchmarks using DeepSeek-V3 series models.
• Open-source friendly and cost-aware design.
• Out-of-the-box support for CSV analysis, literature review, and file organization.
📖 Summary:
Youtu-Agent is a flexible, high-performance framework for building, running, and evaluating autonomous agents using open-source models. It supports tasks like data analysis, file processing, and deep research, and is optimized for accessible, low-cost deployment.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ RLinf | Python
🎯 Primary Use Case:
Post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
✨ Key Features:
• Macro-to-Micro Flow (M2Flow)
• Flexible Execution Modes (Collocated, Disaggregated, Hybrid)
• Auto-scheduling Strategy
• Embodied Agent Support
• Online Reinforcement Learning Support
📖 Summary:
RLinf is an open-source infrastructure for post-training foundation models using reinforcement learning. It provides a flexible and scalable framework with features like macro-to-micro flow, flexible execution modes (collocated, disaggregated, hybrid), and auto-scheduling, supporting embodied agent development and integration with various VLA models and simulators.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
✨ Key Features:
• Macro-to-Micro Flow (M2Flow)
• Flexible Execution Modes (Collocated, Disaggregated, Hybrid)
• Auto-scheduling Strategy
• Embodied Agent Support
• Online Reinforcement Learning Support
📖 Summary:
RLinf is an open-source infrastructure for post-training foundation models using reinforcement learning. It provides a flexible and scalable framework with features like macro-to-micro flow, flexible execution modes (collocated, disaggregated, hybrid), and auto-scheduling, supporting embodied agent development and integration with various VLA models and simulators.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 Paper2Video | Python
🎯 Primary Use Case:
Generating presentation videos from scientific papers
✨ Key Features:
• Automatic video generation from scientific papers
• PaperTalker agent for presentation creation (slides, subtitling, cursor grounding, speech synthesis, talking-head video rendering)
📖 Summary:
Paper2Video automatically generates presentation videos from scientific papers. It addresses two main problems: creating a presentation video from a paper using PaperTalker (integrating slides, subtitling, cursor grounding, speech synthesis, and talking-head video rendering) and evaluating presentation video quality using the Paper2Video benchmark with designed metrics.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Generating presentation videos from scientific papers
✨ Key Features:
• Automatic video generation from scientific papers
• PaperTalker agent for presentation creation (slides, subtitling, cursor grounding, speech synthesis, talking-head video rendering)
📖 Summary:
Paper2Video automatically generates presentation videos from scientific papers. It addresses two main problems: creating a presentation video from a paper using PaperTalker (integrating slides, subtitling, cursor grounding, speech synthesis, and talking-head video rendering) and evaluating presentation video quality using the Paper2Video benchmark with designed metrics.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source