许可
Weorclip 用到的开源软件
Weorclip 建立在一些开源组件之上。每一个都按自己的许可使用；这一页把它们各自的来处和约束都放在一起。
随扩展包一起提供
这些文件在程序内部分发。
| 组件 | 文件 / 版本 | 许可 |
|---|---|---|
| Fabric.js | 5.3.0 — fabric.min.js | MIT |
| Fabric.js EraserBrush | eraser_brush.mixin.js | MIT |
| Paper.js | paper-core.min.js | MIT |
| MP4Box.js (GPAC) | mp4box.all.min.js | BSD-3-Clause |
| MediaPipe Tasks Vision | mediapipe/vision_bundle.mjs | Apache-2.0 |
| MediaPipe BlazeFace model | mediapipe/blaze_face_short_range.tflite | Apache-2.0 |
| MediaPipe BlazeFace (full range) | mediapipe/blaze_face_full_range.tflite | Apache-2.0 |
| MediaPipe Pose Landmarker (lite) | mediapipe/pose_landmarker_lite.task | Apache-2.0 |
| SAM 2 — video predictor source code, 20 files, unmodified | host/sam2/ — github.com/facebookresearch/sam2 @ 2b90b9f5 | Apache-2.0 — © Meta Platforms, Inc. |
| LR-ASD active speaker detection model — AVA-ActiveSpeaker weights exported to ONNX, weights unchanged | host/lrasd_ava.onnx — github.com/Junhua-Liao/LR-ASD @ 1b6dcd2d | MIT — © 2025 Liao Junhua |
| AVA-ActiveSpeaker labels — training data of the LR-ASD weights, not shipped | research.google.com/ava | CC BY 4.0 — © Google LLC |
| YuNet face detection, uint8 input variant — weights unchanged | host/yunet_nhwc.onnx — from face_detection_yunet_2023mar.onnx (github.com/opencv/opencv_zoo) | MIT |
| Noto Emoji (40 PNG) | emoji/emoji_u*.png | SIL OFL 1.1 |
安装时下载 — 不打包
安装程序里没有这些工具，用户的电脑直接从发布方获取。Weorclip 不分发它们.
| 组件 | 怎么来的 | 许可 |
|---|---|---|
| yt-dlp | winget install yt-dlp.yt-dlp, else github.com/yt-dlp/yt-dlp/releases/latest | The Unlicense (public domain) |
| FFmpeg / FFprobe | winget install yt-dlp.FFmpeg, else github.com/yt-dlp/FFmpeg-Builds → ffmpeg-master-latest-win64-gpl.zip | GPL-3.0 (the win64-gpl build) |
为什么 FFmpeg 单独列出。 使用的 FFmpeg 构建是 GPL 许可的。因为 Weorclip 不打包 FFmpeg — 它调用用户自己安装的那一份，作为独立进程，通过命令行 — GPL 的义务不会波及 Weorclip 自己的源码。这个界线是刻意保持的。
可选组件 — 只在你要求时
当你打开字幕、音频清理、说话人分离或翻译时才会下载的模型和工具。
| 组件 | 安装脚本 | 许可 |
|---|---|---|
whisper.cpp (whisper-cli.exe, ggml*.dll) | host/motor_kur.ps1 → github.com/ggml-org/whisper.cpp/releases (newest release that carries a Windows build) | MIT |
Whisper GGML models (ggml-large-v3-turbo-q5_0.bin) | host/motor_kur.ps1 → huggingface.co/ggerganov/whisper.cpp | MIT (model weights: OpenAI, MIT) |
SDL2 (SDL2.dll, ships with whisper.cpp binaries) | host/motor_kur.ps1 (inside the whisper.cpp build) | zlib |
Silero VAD (ggml-silero-v5.1.2.bin) | host/motor_kur.ps1 → huggingface.co/ggml-org/whisper-vad | MIT |
llama.cpp (llama-server.exe, ggml*.dll; offline translation and smart captions) | host/motor_kur.ps1 → github.com/ggml-org/llama.cpp/releases (CPU build; CUDA 12.4 build on NVIDIA cards with ≥ 20 GB) | MIT |
TranslateGemma 4B (translategemma-4b-it.Q4_K_M.gguf) | host/motor_kur.ps1 → huggingface.co/mradermacher/translategemma-4b-it-GGUF | Gemma Terms of Use — see below |
TranslateGemma 12B (translategemma-12b-it.Q4_K_M.gguf, only on NVIDIA cards with ≥ 20 GB) | host/motor_kur.ps1 → huggingface.co/mradermacher/translategemma-12b-it-GGUF @ fdf84c9f, size + SHA-256 verified | Gemma Terms of Use — see below |
NVIDIA CUDA runtime (cudart64_12.dll, cublas64_12.dll, cublasLt64_12.dll, with the llama.cpp CUDA build) | same llama.cpp release → cudart-llama-bin-win-cuda-12.4-x64.zip | NVIDIA CUDA Toolkit EULA (redistributable components) |
| DeepFilterNet (noise removal) | host/motor_kur.ps1 → github.com/Rikorose/DeepFilterNet/releases (Windows .exe) | MIT / Apache-2.0 (dual) |
WeSpeaker model (wespeaker_en_voxceleb_resnet34_LM.onnx) | host/konusmaci_kur.ps1 → github.com/k2-fsa/sherpa-onnx | Apache-2.0 |
YuNet face detection (face_detection_yunet_2023mar.onnx) | host/gorme_kur.ps1 → github.com/opencv/opencv_zoo | MIT |
YOLOX-tiny object detection (yolox_tiny.onnx; smart framing: objects, screens, cartoon characters) | host/gorme_kur.ps1 → github.com/Megvii-BaseDetection/YOLOX/releases (0.1.1rc0), size + SHA-256 verified | Apache-2.0 — © Megvii Inc. |
ONNX Runtime DirectML (onnxruntime-directml; runs the smart framing models on the graphics card, or on the processor) | host/gorme_kur.ps1 → pip install onnxruntime-directml into <install>\vision\venv (processor build onnxruntime only as a fallback) | MIT — © Microsoft Corporation. The wheel also contains DirectML (DirectML.dll, Microsoft DirectML licence terms) — installed with pip on the user machine, not redistributed by Weorclip |
Qwen3.5-4B (Qwen3.5-4B-Q4_K_M.gguf, smart captions: emphasis word, emoji, hook title) | host/motor_kur.ps1 (component akilli) → huggingface.co/unsloth/Qwen3.5-4B-GGUF (base: Qwen/Qwen3.5-4B), SHA-256 verified | Apache-2.0 — © Alibaba Cloud (Qwen team) |
MODNet portrait matting (modnet.onnx, hook title behind the speaker) | host/motor_kur.ps1 (component akilli) → huggingface.co/Xenova/modnet (ONNX export of github.com/ZHKKKe/MODNet), SHA-256 verified | Apache-2.0 — © ZHKKKe |
| Demucs (audio separation) | host/motor_kur.ps1 (component sesayir) → pip install demucs numpy in its own venv | MIT |
| Python (only if audio separation is chosen) | host/motor_kur.ps1 → winget install Python.Python.3.12 | PSF License |
TranslateGemma 不是开源的。 Gemma 系列的权重按 Google 的 Gemma Terms of Use 和一份禁止使用的规定分发，不是 MIT 也不是 Apache。模型只在你要求时下载，Weorclip 从不转发，但这些规定仍然约束你。
语音引擎 — 朗读和配音
这个引擎同样是可选的：只有在你选择它，或第一次使用朗读或配音时才会安装。每个文件都按修订版本、大小和 SHA-256 固定，Weorclip 不会转发其中任何一个。
| 组件 | 怎么来的 | 许可 |
|---|---|---|
VoxCPM2 model (model.safetensors, audiovae.pth, tokenizer) and the voxcpm 2.0.3 package | host/motor_kur.ps1 → huggingface.co/openbmb/VoxCPM2 @ 32279eff · pip install voxcpm==2.0.3 --no-deps | Apache-2.0 — © OpenBMB; the model repository has no LICENSE file, the licence is declared by the upstream project |
Mel-Band RoFormer vocal separation weights — MelBandRoformer.ckpt | host/motor_kur.ps1 → huggingface.co/KimberleyJSN/melbandroformer @ ac9b0614 | MIT — © Kimberley Jensen |
| python-audio-separator 0.47.0 | host/motor_kur.ps1 → pip install audio-separator==0.47.0 --no-deps | MIT — © Andrew Beveridge |
| PyTorch 2.8.0 — CUDA 12.8 or CPU build | host/motor_kur.ps1 → download.pytorch.org | BSD-3-Clause |
| torchaudio 2.8.0 | host/motor_kur.ps1 → download.pytorch.org | BSD-2-Clause |
| NVIDIA CUDA runtime libraries — only inside the CUDA build of PyTorch | host/motor_kur.ps1 → same wheel as PyTorch | NVIDIA CUDA Toolkit EULA — redistributable components |
| Transformers, safetensors, huggingface_hub, tokenizers | host/motor_kur.ps1 → PyPI, pinned | Apache-2.0 |
| librosa | host/motor_kur.ps1 → PyPI, pinned | ISC |
| NumPy, SciPy, scikit-learn, soundfile | host/motor_kur.ps1 → PyPI, pinned | BSD-3-Clause |
| Numba, llvmlite | host/motor_kur.ps1 → PyPI, pinned | BSD-2-Clause |
| ONNX Runtime, pydub, einops | host/motor_kur.ps1 → PyPI, pinned | MIT |
| python-soxr — resampling, pulled in by librosa | host/motor_kur.ps1 → PyPI, pinned | LGPL-2.1-or-later — installed as a separate, replaceable package in the user’s own environment; not linked into Weorclip |
| certifi — CA certificate bundle | host/motor_kur.ps1 → PyPI, pinned | MPL-2.0 |
| Python 3.12.10 — only if no suitable Python exists | host/motor_kur.ps1 → winget --scope user, else python.org installer (SHA-256 + Authenticode check) | PSF License |
配音的视频会被标注。 配音后的视频会在元数据中写入一条说明，表明其声音由 AI 配音，同时写入音轨的语言标签。VoxCPM2 的模型卡禁止冒充他人和欺诈，因此 Weorclip 只提供设计好的声音，从不复制他人的声音。
目标跟踪引擎 — Super Edit
SAM 2 的源代码随程序一起提供（Apache-2.0，未经修改）。模型和几个小型辅助包会在你第一次开始目标跟踪时按固定版本下载，Weorclip 不会转发它们。这个引擎与语音引擎共用同一个 Python 环境，因此 AI 运行环境不会下载两次。
| 组件 | 怎么来的 | 许可 |
|---|---|---|
SAM 2.1 Hiera-Tiny model — sam2.1_hiera_tiny.pt | host/motor_kur.ps1 → dl.fbaipublicfiles.com, size + SHA-256 verified | Apache-2.0 — © Meta Platforms, Inc. |
| Hydra (hydra-core 1.3.7), iopath 0.1.10 | host/motor_kur.ps1 → PyPI, pinned | MIT |
| OmegaConf 2.3.1, ANTLR 4 Python runtime 4.9.3, portalocker 4.4.0 | host/motor_kur.ps1 → PyPI, pinned | BSD-3-Clause |
| Pillow 12.3.0 | host/motor_kur.ps1 → PyPI, pinned | MIT-CMU (HPND) |
| OpenCV — opencv-python-headless 5.0.0.93 | host/motor_kur.ps1 → PyPI, pinned | Apache-2.0; the wheel contains FFmpeg as a separate DLL (LGPL-2.1), installed in the user’s own environment |
| PyTorch, NumPy | shared with the voice engine above — not downloaded twice | BSD-3-Clause |
第三方服务
Gemini、OpenAI 和 Anthropic 只有在你填入自己的密钥并运行相应功能时才会介入。Weorclip 没有自己的服务器。
许可全文
每个许可的完整文本在安装目录的 licenses/ 文件夹里，也在程序旁边的 THIRD-PARTY-NOTICES.md 文件中。
这一页根据各组件的许可头部和上游代码库整理而成，不构成法律意见。
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