Scrybe runs local Speech-To-Text models on your machine to create live captions that you can add to OBS as a browser source. Free, Fully local, open-source, no cloud. Still in early development, expect lots of changes.

All processing happens on your machine. Your audio never leaves your computer. This means no API keys, no cloud latency, no subscriptions.
Select any audio device. Caption dekstop audio, your voice through your microphone, even virtual audio cables.
Drop localhost:3030 into OBS and the subtitles appear. Adjust text alignment, color, font size, transparency, etc and the overlay will update automatically.
Swap models, toggle translate, trim silence, etc. Works great out of the box, but allows you to customize your experience.
Scrybe is still early, and the roadmap is focused on making live captions more flexible, readable, and useful after the stream.
Choose the exact audio source, whether that's a microphone, desktop audio, or audio from a specific process. Follow the system default when it changes, and keep transcription running when it switches.
More natural caption segments with silence and speaker-aware breaks, steadier updates, accurate timestamps, and speaker identification.
A segment-log overlay, saved custom overlay colors, and dedicated OBS plugin support for Twitch native captions and microphone mute events.
Save transcripts to disk, dedicated translation support, and transcript history.
Scrybe is a desktop app based on Tauri, install it like any normal program. Choose from a set of model presets (or bring your own) and start transcribing.
http://localhost:3030/app/v1/overlay to OBS 1920 × 1080Start and captions appear. go livewhisper.cpp is Georgi Gerganov's port of OpenAI's Whisper speech-recognition model to plain C/C++. Same models, same weights, it's just stripped of the Python stack and compiled down to something small enough to ship inside a desktop app.
Scrybe embeds it directly. Audio goes in, text comes out, nothing is sent remotely. You pick the model size tiny for a low-end laptops, large-v3-turbo for when you want more accuracy.
More at github.com/ggml-org/whisper.cpp.