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https://github.com/locaal-ai/obs-localvocal
OBS plugin for local speech recognition and captioning using AI
https://github.com/locaal-ai/obs-localvocal
ai live-streaming livestream obs obs-studio obs-studio-plugin openai-whisper plugin real-time-transcription realtime-transcribe realtime-translator speech-recognition speech-to-text transcription translation whisper whisper-cpp
Last synced: 3 days ago
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OBS plugin for local speech recognition and captioning using AI
- Host: GitHub
- URL: https://github.com/locaal-ai/obs-localvocal
- Owner: locaal-ai
- License: gpl-2.0
- Created: 2023-08-10T19:05:18.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-11-25T18:22:26.000Z (about 2 months ago)
- Last Synced: 2025-01-11T09:03:47.679Z (10 days ago)
- Topics: ai, live-streaming, livestream, obs, obs-studio, obs-studio-plugin, openai-whisper, plugin, real-time-transcription, realtime-transcribe, realtime-translator, speech-recognition, speech-to-text, transcription, translation, whisper, whisper-cpp
- Language: C++
- Homepage: https://obsproject.com/forum/resources/localvocal-live-stream-ai-assistant.1769/
- Size: 70 MB
- Stars: 621
- Watchers: 12
- Forks: 46
- Open Issues: 34
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# LocalVocal - Speech AI assistant OBS Plugin
[](https://github.com/locaal-ai/obs-localvocal/blob/main/LICENSE)
[](https://github.com/locaal-ai/obs-localvocal/actions/workflows/push.yaml)
[](https://github.com/locaal-ai/obs-localvocal/releases)
[](https://github.com/locaal-ai/obs-localvocal/releases)
[](https://GitHub.com/locaal-ai/obs-localvocal/stargazers/)
Download:
## Introduction
LocalVocal lets you transcribe, locally on your machine, speech into text and simultaneously translate to any language. ✅ No GPU required, ✅ no cloud costs, ✅ no network and ✅ no downtime! Privacy first - all data stays on your machine.
Internally the plugin is running [OpenAI's Whisper](https://github.com/openai/whisper) to process real-time the speech and predict a transcription.
It's using the [Whisper.cpp](https://github.com/ggerganov/whisper.cpp) project from [ggerganov](https://github.com/ggerganov) to run the Whisper network efficiently on CPUs and GPUs.
Translation is done with [CTranslate2](https://github.com/OpenNMT/CTranslate2).
## Usage
https://youtu.be/ns4cP9HFTxQ
https://youtu.be/4llyfNi9FGs
https://youtu.be/R04w02qG26o
Do more with LocalVocal:
- [RealTime Translation](https://youtu.be/4llyfNi9FGs)
- [Translate Caption any Application](https://youtu.be/qen7NC8kbEQ)
- [Real-time Translation with DeepL](https://youtu.be/ryWBIEmVka4)
- [Real-time Translation with OpenAI](https://youtu.be/Q34LQsx-nlg)
- [ChatGPT + Text-to-speech](https://youtu.be/4BTmoKr0YMw)
- [POST Captions to YouTube](https://youtu.be/E7HKbO6CP_c)
- [Local LLM Real-time Translation](https://youtu.be/ZMNILPWDkDw)
- [Usage Tutorial](https://youtu.be/5XqTMqpui3Q)
Current Features:
- Transcribe audio to text in real time in 100 languages
- Display captions on screen using text sources
- Send captions to a .txt or .srt file (to read by external sources or video playback) with and without aggregation option
- Sync'ed captions with OBS recording timestamps
- Send captions on a RTMP stream to e.g. YouTube, Twitch
- Bring your own Whisper model (any GGML)
- Translate captions in real time to major languages (with cloud prviders, Whisper built-in translation as well as NMT models)
- CUDA, hipBLAS (AMD ROCm), Apple Arm64, AVX & SSE acceleration support
- Filter out or replace any part of the produced captions
- Partial transcriptions for a streaming-captions experience
- 100s of fine-tuned Whisper models for dozens of languages from HuggingFace
## Download
Check out the [latest releases](https://github.com/locaal-ai/obs-localvocal/releases) for downloads and install instructions.
### Available Versions
LocalVocal is available in multiple versions to cater to different hardware configurations and operating systems. Below is a brief explanation of the different versions you can download:
- **Windows CUDA**: This version is optimized for systems with NVIDIA GPUs and utilizes CUDA for accelerated performance. Make sure you have the latest NVidia GPU drivers installed.
- **Windows CPU**: This version is designed for systems without dedicated GPUs, running solely on the CPU.
- **Windows HIPBLAS**: This version utilizes the HIP framework from AMD that accelerates computation on AMD GPUs. (⚠️ Experimental ⚠️ Please provide feedback)
- **Windows Vulkan**: This version uses Vulkan for GPU-based acceleration across many vendors like NVidia, AMD, and Intel. (⚠️ Experimental ⚠️ Please provide feedback)
- **macOS Intel (x86_64)**: This version is for Mac computers with Intel processors.
- **macOS Apple Silicon (arm64)**: This version is optimized for Mac computers with Apple Silicon (M1, M2, etc.) processors.
- **Linux x86_64**: This version is for Linux systems with x86_64 architecture.
Make sure to download the version that matches your system's hardware and operating system for the best performance.
### Models
The plugin ships with the Tiny.en model, and will autonomously download other Whisper models through a dropdown.
There's also an option to select an external GGML Whisper model file if you have it on disk.
Get more models from https://ggml.ggerganov.com/ and [HuggingFace](https://huggingface.co/ggerganov/whisper.cpp/tree/main), follow [the instructions on whisper.cpp](https://github.com/ggerganov/whisper.cpp/tree/master/models) to create your own models or download others such as distilled models.
## Building
The plugin was built and tested on Mac OSX (Intel & Apple silicon), Windows (with and without Nvidia CUDA) and Linux.
Start by cloning this repo to a directory of your choice.
### Mac OSX
Using the CI pipeline scripts, locally you would just call the zsh script, which builds for the architecture specified in $MACOS_ARCH (either `x86_64` or `arm64`).
```sh
$ MACOS_ARCH="x86_64" ./.github/scripts/build-macos -c Release
```
#### Install
The above script should succeed and the plugin files (e.g. `obs-localvocal.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
```sh
$ ./.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`)
### Linux
#### Ubuntu
For successfully building on Ubuntu, first clone the repo, then from the repo directory:
```sh
$ sudo apt install -y libssl-dev
$ ./.github/scripts/build-linux
```
Copy the results to the standard OBS folders on Ubuntu
```sh
$ sudo cp -R release/RelWithDebInfo/lib/* /usr/lib/
$ sudo cp -R release/RelWithDebInfo/share/* /usr/share/
```
Note: The official [OBS plugins guide](https://obsproject.com/kb/plugins-guide) recommends adding plugins to the `~/.config/obs-studio/plugins` folder. This has to do with the way you *installed* OBS.
In case the above doesn't work, attempt to copy the files to the `~/.config` folder:
```sh
$ mkdir -p ~/.config/obs-studio/plugins/obs-localvocal/bin/64bit
$ cp -R release/RelWithDebInfo/lib/x86_64-linux-gnu/obs-plugins/* ~/.config/obs-studio/plugins/obs-localvocal/bin/64bit/
$ mkdir -p ~/.config/obs-studio/plugins/obs-localvocal/data
$ cp -R release/RelWithDebInfo/share/obs/obs-plugins/obs-localvocal/* ~/.config/obs-studio/plugins/obs-localvocal/data/
```
#### Other distros
For other distros where you can't use the CI build script, you can build the plugin as follows
1. Clone the repository and install these dependencies using your distribution's package manager:
* libssl (with development headers)
2. Generate the CMake build scripts (adjust folders if necessary)
```sh
cmake -B build-dir --preset linux-x86_64 -DUSE_SYSTEM_CURL=ON -DCMAKE_INSTALL_PREFIX=./output_dir
```
3. Build the plugin and copy the files to the output directory
```sh
cmake --build build-dir --target install
```
4. Copy plugin to OBS plugins folder
```sh
mkdir -p ~/.config/obs-studio/plugins/bin/64bit
cp -R ./output_dir/lib/obs-plugins/* ~/.config/obs-studio/plugins/bin/64bit/
```
> N.B. Depending on your system, the plugin might be in `./output_dir/lib64/obs-plugins` instead.
5. Copy plugin data to OBS plugins folder - Possibly only needed on first install
```sh
mkdir -p ~/.config/obs-studio/plugins/data
cp -R ./output_dir/share/obs/obs-plugins/obs-localvocal/* ~/.config/obs-studio/plugins/data/
```
### Windows
Use the CI scripts again, for example:
```powershell
> .github/scripts/Build-Windows.ps1 -Configuration Release
```
The build should exist in the `./release` folder off the root. You can manually install the files in the OBS directory.
```powershell
> Copy-Item -Recurse -Force "release\Release\*" -Destination "C:\Program Files\obs-studio\"
```
#### Building with CUDA support on Windows
LocalVocal will now build with CUDA support automatically through a prebuilt binary of Whisper.cpp from https://github.com/locaal-ai/locaal-ai-dep-whispercpp. The CMake scripts will download all necessary files.
To build with cuda add `ACCELERATION` as an environment variable (with `cpu`, `hipblas`, or `cuda`) and build regularly
```powershell
> $env:ACCELERATION="cuda"
> .github/scripts/Build-Windows.ps1 -Configuration Release
```
