A 100% free & open-source AI Content Automation Tool that writes scripts, generates voiceovers, creates videos, and uploads them automatically — hands-free YouTube growth powered by AI.
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Updated
Oct 12, 2026 - Python
A 100% free & open-source AI Content Automation Tool that writes scripts, generates voiceovers, creates videos, and uploads them automatically — hands-free YouTube growth powered by AI.
新一代 AI 专业字幕软件,剪映字幕、elevenlabs 语音转文本的最佳本地版平替之一,也是加强版。中英转录识别准确率超过 97%,词语音频对齐率 98%,说话人分割与识别准确率 96%,带有最先进的 ASR 开源模型,100+字幕动画(支持导出透明背景的字幕动画)。说话人识别、专业字幕编辑器、命令行工具、Skill,达芬奇字幕插件(含字幕动画插件),PR 字幕插件,本地转录、远程转录、文稿匹配、智能拆行、AI校正、AI 智能热词、翻译、双语字幕、专业字幕编辑器、字幕合成、自定义大模型 API
[CVPR 2020] Meshed-Memory Transformer for Image Captioning
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
[CVPR 2019] Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
[ICLR 2026] An official implementation of "CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning"
Official Repository of OmniCaptioner
[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
[T-PAMI 2024] & [CVPR 2023] Vote2Cap-DETR; A set-to-set perspective towards 3D Dense Captioning; State-of-the-Art 3D Dense Captioning methods
ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model, a unified and user-friendly shape-language model
CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
Scalable annotation pipeline for action-aglined fine-grained instruciton for Visual-language-Action model
Computer Vision Playground ⚡️
[ECCV2022] D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding
Privacy first powerful, browser-based tool for tagging, captioning, cropping and managing training datasets for Stable Diffusion's LoRA trainings. No install required.
Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers
PyTorch library for Visual-Semantic tasks
Real-time captions and translation.
Computer Vision: Generate captions that describe the contents of images using PyTorch
Cross-platform desktop client for AI.Opensubtitles.com featuring automatic transcription and translation of media files with FFmpeg integration and responsive UI.
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