VideoFrame Extractor — third-party notices, 3 October 2026 PHPMailer 7.1.1: LGPL 2.1. License in vendor/phpmailer/LICENSE. Source: https://github.com/PHPMailer/PHPMailer/releases/tag/v7.1.1 FFmpeg wrapper 0.12.15: MIT. FFmpeg core 0.12.10: GPL-2.0-or-later. The GPL core is NOT redistributed in this website ZIP. Your browser downloads the exact upstream jsDelivr npm files only when a media operation needs them: https://cdn.jsdelivr.net/npm/@ffmpeg/core@0.12.10/dist/esm/ffmpeg-core.js https://cdn.jsdelivr.net/npm/@ffmpeg/core@0.12.10/dist/esm/ffmpeg-core.wasm Both files are SHA-256 verified before use; hashes are in engine-loader.mjs. Core source/build recipes and upstream dependency links: https://github.com/ffmpegwasm/ffmpeg.wasm/tree/main/packages/core https://github.com/ffmpegwasm/ffmpeg.wasm/tree/main/build https://github.com/ffmpegwasm/ffmpeg.wasm/releases https://ffmpeg.org/legal.html TensorFlow.js 4.22.0: Apache 2.0. https://github.com/tensorflow/tfjs/tree/tfjs-v4.22.0 UpscalerJS 1.0.0-beta.19: MIT. Default ESRGAN slim 2x model 1.0.0-beta.12: MIT. https://github.com/thekevinscott/UpscalerJS https://www.npmjs.com/package/@upscalerjs/default-model/v/1.0.0-beta.12 Transformers.js 3.7.2: Apache 2.0. ONNX Runtime: MIT. https://github.com/huggingface/transformers.js/tree/3.7.2 https://github.com/microsoft/onnxruntime Tesseract.js 6.0.1 and tesseract.js-core 6.0.0: Apache 2.0. English trained data 4.0.0: Apache 2.0. https://github.com/naptha/tesseract.js/tree/v6.0.1 https://github.com/naptha/tesseract.js-core https://github.com/tesseract-ocr/tessdata DejaVu Sans: Bitstream/DejaVu permissive font license (DejaVu-LICENSE). https://dejavu-fonts.github.io/ Whisper tiny.en and MODNet: Apache 2.0. Model revisions are pinned below. Neural-network model output is an estimate. Library/model authors do not endorse this website. No competitor code or artwork is included. https://huggingface.co/Xenova/modnet/tree/fa2fa546052fba4c08921230a26cc69a333fca12 https://huggingface.co/Xenova/whisper-tiny.en/tree/79fb389fc764e7c395bd330e9531d9d32ada7049