Polyglot translation AI plugin allows you to translate text in multiple languages in real-time and locally on your machine. ✅ No GPU required, ✅ no cloud costs, ✅ no network and ✅ no downtime! Privacy first - all data stays on your machine.
"polyglot" is derived from the Greek words: "poly-" meaning "many"and "glōtta" (or "glōssa") meaning "tongue" or "language".
It's using the excellent CTranslate2 project from OpenNMT.
If this free plugin has been valuable to you consider adding a ⭐ to this GH repo, subscribing to my YouTube channel where I post updates, and supporting my work: https://github.com/sponsors/royshil
Watch a short tutorial on how to use and setup Polyglot on your OBS scene.
Current Features:
- Translate in real time using an internal HTTP server
- Choice of CTranslate2 model file
Roadmap:
- Translation directly on OBS text sources, e.g. with a filter
- Translation of live stream or recording captions
Check out our other plugins:
- Background Removal removes background from webcam without a green screen.
- 🚧 Experimental 🚧 CleanStream for real-time filler word (uh,um) and profanity removal from live audio stream
- URL/API Source that allows fetching live data from an API and displaying it in OBS.
- LocalVocal speech AI assistant plugin for real-time transcription (captions), translation and more language functions
Check out the latest releases for downloads and install instructions.
You need to download a CT2 model for the translation service to work.
Here are download links for models that are compatible with the plugin:
- https://forum.opennmt.net/t/nllb-200-with-ctranslate2/5090 NLLB-200 multilingual model (recommended) (List of NLLB language codes)
- https://huggingface.co/models?sort=trending&search=ctranslate CTranslate2 models on HuggingFace
Download models options: (get e.g. model.bin and SPM = SentencePiece Model .model file)
- https://forum.opennmt.net/t/nllb-200-with-ctranslate2/5090 (NLLB)
- https://huggingface.co/JustFrederik/m2m_100_418m_ct2_int8/tree/main (M2M100)
- https://huggingface.co/Rohith04/ct2fast_m2m100_418M/tree/main (M2M100)
- https://huggingface.co/jncraton/m2m100_418M-ct2-int8/tree/main (M2M100)
The plugin was built and tested on Mac OSX (Intel & Apple silicon), Windows and Linux.
Start by cloning this repo to a directory of your choice.
Remember to sync and fetch the submodules before building, e.g.
$ git submodule sync --recursive
$ git update --init --recursiveUsing the CI pipeline scripts, locally you would just call the zsh script. By default this builds a universal binary for both Intel and Apple Silicon. To build for a specific architecture please see .github/scripts/.build.zsh for the -arch options.
$ ./.github/scripts/build-macos -c ReleaseThe above script should succeed and the plugin files (e.g. obs-urlsource.plugin) will reside in the ./release/Release folder off of the root. Copy the .plugin file to the OBS directory e.g. ~/Library/Application Support/obs-studio/plugins.
To get .pkg installer file, run for example
$ ./.github/scripts/package-macos -c Release(Note that maybe the outputs will be in the Release folder and not the install folder like pakage-macos expects, so you will need to rename the folder from build_x86_64/Release to build_x86_64/install)
Use the CI scripts again
$ ./.github/scripts/build-linux.shCopy the results to the standard OBS folders on Ubuntu
$ sudo cp -R release/RelWithDebInfo/lib/* /usr/lib/x86_64-linux-gnu/
$ sudo cp -R release/RelWithDebInfo/share/* /usr/share/Note: The official OBS plugins guide recommends adding plugins to the ~/.config/obs-studio/plugins folder.
Use the CI scripts again, for example:
> .github/scripts/Build-Windows.ps1 -Target x64 -CMakeGenerator "Visual Studio 17 2022"The build should exist in the ./release folder off the root. You can manually install the files in the OBS directory.