THIRD-PARTY NOTICES - Image Tools Base (imgtoolsbase.com) ================================================================ Image Tools Base bundles and/or loads the third-party open-source components listed below. Each remains under its own license and the copyright of its respective authors. The full text of every license family used here is bundled under /licenses/ in this build. This file is provided for attribution and does not modify any upstream license. JavaScript libraries ---------------------------------------------------------------- - PDF.js - Apache-2.0 https://github.com/mozilla/pdf.js - jsPDF - MIT https://github.com/parallax/jsPDF - Tesseract.js - Apache-2.0 https://github.com/naptha/tesseract.js - JSZip - MIT license used https://github.com/Stuk/jszip - html2canvas - MIT https://github.com/niklasvh/html2canvas - mammoth.js - BSD-2-Clause https://github.com/mwilliamson/mammoth.js - heic2any - MIT https://github.com/alexcorvi/heic2any - UTIF.js - MIT https://github.com/photopea/UTIF.js - gif.js - MIT https://github.com/jnordberg/gif.js - gifuct-js - MIT https://github.com/matt-way/gifuct-js - Transformers.js (@huggingface/transformers) - Apache-2.0 https://github.com/huggingface/transformers.js - ONNX Runtime Web - MIT https://github.com/microsoft/onnxruntime Additional assets ---------------------------------------------------------------- OCR language data (eng, hin) - from the Tesseract tessdata project, Apache-2.0 - https://github.com/tesseract-ocr/tessdata AI background-removal model: ormbg - "Open Remove Background Model" (c) Stephan Schirrmacher. Released under the Apache License 2.0, which permits commercial use, modification and distribution provided the copyright/attribution and license notices are retained and any significant changes are stated. ISNet-based image segmentation. Model card: https://huggingface.co/onnx-community/ormbg-ONNX Source: https://huggingface.co/schirrmacher/ormbg The full Apache-2.0 license text is bundled at /licenses/Apache-2.0.txt. The Transformers.js runtime and ONNX Runtime WASM are bundled under /assets/vendor/. The ormbg model weights are not bundled; they download on first use from Hugging Face / the model hub and may be cached by the browser. See /assets/models/README.md for optional self-hosting. ================================================================ If you believe an attribution is missing or incorrect, contact takenickinnovation@gmail.com and we will correct it. FULL LICENSE TEXTS The complete text of every license family used here is included under /licenses/: /licenses/MIT.txt /licenses/Apache-2.0.txt /licenses/BSD-2-Clause.txt Each third-party component above is covered by the corresponding license; the copyright holders are named in each project's repository linked above.