Information about the open-source components and resources used in The Dollar Web tools.
This site uses the Montserrat font family created by Julieta Ulanovsky and the Montserrat Project Authors. Montserrat is licensed under the SIL Open Font License 1.1.
Copyright (c) 2011 The Montserrat Project Authors
https://github.com/JulietaUla/Montserrat
This Font Software is licensed under the SIL Open Font License, Version 1.1.
This license is copied below, and is also available at:
http://scripts.sil.org/OFL
(See OFL‑Montserrat.txt for the full license text.)
This site uses the Inter font under the SIL Open Font License 1.1. Full text:
Copyright (c) 2016-2020 The Inter Project Authors.
"Inter" is trademark of Rasmus Andersson.
https://github.com/rsms/inter
This Font Software is licensed under the SIL Open Font License, Version 1.1.
This license is copied below, and is also available with a FAQ at:
http://scripts.sil.org/OFL
(See OFL‑Inter.txt for the full license text.)
Inter is a variable font family designed for computer screens by Rasmus Andersson. It's specifically created for high legibility of small-to-medium sized text on computer screens.
Certain icons used throughout the site are from the Feather Icons collection, available under the MIT License.
The MIT License (MIT)
Copyright (c) 2013-2023 Cole Bemis
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
Feather Icons is a collection of simply beautiful open-source icons designed on a 24x24 grid with an emphasis on simplicity, consistency, and readability.
GitHub repository: https://github.com/feathericons/feather
Note: The icons available for download in the Icon Library are not affiliated in any way with Feather Icons. These icons are custom creations by the owner(s) of this site.
The DollarWeb is built on the shoulders of giants. We're grateful to the open-source community for creating and maintaining these incredible tools that make our work possible.
All third‑party code (MIT‑licensed) is listed in our NOTICE.txt file. For specific license details, please refer to the respective project repositories.
QR Code is a registered trademark of DENSO WAVE Incorporated.
The Background Remover tool runs AI inference entirely in your browser using ONNX Runtime Web, Microsoft's WebAssembly-based inference engine, distributed under the MIT License.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
Project repository: https://github.com/microsoft/onnxruntime
The Background Remover tool uses the U²-Net salient-object segmentation model (the lightweight u2netp variant) by Xuebin Qin et al., distributed under the Apache License 2.0.
Copyright 2020 Xuebin Qin
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Project repository: https://github.com/xuebinqin/U-2-Net
The Subtitle Studio tool runs OpenAI's Whisper speech-to-text model entirely in your browser using @xenova/transformers, Hugging Face's JavaScript port of the Transformers library, distributed under the Apache License 2.0.
Copyright 2023 Hugging Face
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Project repository: https://github.com/xenova/transformers.js
The Subtitle Studio tool uses Whisper (the base.en variant), OpenAI's automatic speech recognition model, distributed under the MIT License. The ONNX build served from Hugging Face is prepared by the Xenova project.
MIT License
Copyright (c) 2022 OpenAI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
Project repository: https://github.com/openai/whisper
The Subtitle Studio tool packages WebCodecs-encoded H.264/AAC chunks into a real MP4 container using mp4-muxer by Vanilagy, distributed under the MIT License.
MIT License
Copyright (c) 2024 Vanilagy
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
Project repository: https://github.com/Vanilagy/mp4-muxer
The Word Cloud Generator tool uses d3-cloud by Jason Davies, a JavaScript port of Jonathan Feinberg's Wordle placement algorithm, distributed under the BSD 3-Clause License.
Copyright (c) 2013, Jason Davies.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* The name Jason Davies may not be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Project repository: https://github.com/jasondavies/d3-cloud
The Peer to Peer File Sharing tool uses PeerJS, a WebRTC wrapper library, distributed under the MIT License.
Copyright (c) 2015 Michelle Bu and Eric Zhang, https://peerjs.com
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
Project repository: https://github.com/peers/peerjs
The PDF OCR tool performs optical character recognition entirely in your browser using Tesseract.js, a WebAssembly port of the Tesseract OCR engine, distributed under the Apache License 2.0.
Copyright (c) 2015 Project Naptha
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Project repository: https://github.com/naptha/tesseract.js
Several PDF tools — including the PDF OCR, PDF Multi-Search, and PDF to Images tools — render and parse PDF documents in the browser using Mozilla's PDF.js, distributed under the Apache License 2.0.
Copyright 2012 Mozilla Foundation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Project repository: https://github.com/mozilla/pdf.js
The PDF OCR tool builds searchable PDFs — with an invisible OCR text layer overlaid on the original page images — using pdf-lib, a pure JavaScript library for creating and modifying PDFs, distributed under the MIT License.
MIT License
Copyright (c) 2019 Andrew Dillon
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
Project repository: https://github.com/Hopding/pdf-lib
The Video to GIF tool encodes animated GIFs in your browser using gif.js by Johan Nordberg, a Web Worker-based JavaScript GIF encoder distributed under the MIT License.
Copyright (c) 2013 Johan Nordberg
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
Project repository: https://github.com/jnordberg/gif.js
The Image to SVG tool converts raster images into scalable vector graphics using ImageTracer.js by András Jankovics, a pure JavaScript raster-to-vector tracer released into the public domain under The Unlicense.
This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.
For more information, please refer to <http://unlicense.org/>
Project repository: https://github.com/jankovicsandras/imagetracerjs