LiveCaptions
whisper.cpp
LiveCaptions | whisper.cpp | |
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9 | 187 | |
1,020 | 31,649 | |
- | - | |
6.7 | 9.8 | |
7 months ago | 2 days ago | |
C | C | |
GNU General Public License v3.0 only | MIT License |
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LiveCaptions
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Open source app to watch videos from any platform
* [Live Captions](https://github.com/abb128/LiveCaptions): Accessible live captions that are completely private. It seems that Live Captions are the same with FUTO Voice.
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Ask HN: Looking for a 24-7 Real-Time Voice Transcription Tool
https://github.com/abb128/LiveCaptions comes to mind: The libraries and models for it are easily available for reworking it to be how you want, and can run 24/7 if you don't mind the cpu usage
- Any solution to voice to text?
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These Nreal glasses that subtitles live conversation for deaf people
Just a heads up for the heads up: You don't need any proprietary software for this. Just look here or install "Live Captions" on any Linux distribution via software store. Totally free and open-source.
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Linux captions software - FUTO Fellowship program interview
tl;dw He sponsored someone to make this, and if you have an open source project he might sponsor you too: https://github.com/abb128/LiveCaptions
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Nvidia GeForce RTX 4080/4090: Windows 11 vs. Ubuntu 23.04 Performance
I don't know if you heard of this app [1] which works well but is English-only unfortunately. Still looks cool though.
[1] https://github.com/abb128/LiveCaptions
- FLiP Stack Weekly for 06 February 2023
- Live Captions: an application that provides live captions for the Linux desktop
whisper.cpp
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Show HN: I created automatic subtitling app to boost short videos
whisper.cpp [1] has a karaoke example that uses ffmpeg's drawtext filter to display rudimentary karaoke-like captions. It also supports diarisation. Perhaps it could be a starting point to create a better script that does what you need.
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1: https://github.com/ggerganov/whisper.cpp/blob/master/README....
- LLaMA Now Goes Faster on CPUs
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LLMs on your local Computer (Part 1)
The ggml library is one of the first library for local LLM interference. Itβs a pure C library that converts models to run on several devices, including desktops, laptops, and even mobile device - and therefore, it can also be considered as a tinkering tool, trying new optimizations, that will then be incorporated into other downstream projects. This tool is at the heart of several other projects, powering LLM interference on desktop or even mobile phones. Subprojects for running specific LLMs or LLM families exists, such as whisper.cpp.
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Voxos.ai β An Open-Source Desktop Voice Assistant
I'm not sure if it is _fully_ openai compatible, but whispercpp has a server bundled that says it is "OAI-like": https://github.com/ggerganov/whisper.cpp/tree/master/example...
I don't have any direct experience with it... I've only played around with whisper locally, using scripts.
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Jarvis: A Voice Virtual Assistant in Python (OpenAI, ElevenLabs, Deepgram)
unless i'm misunderstanding `whisper.cpp` seems to support streaming & the repository includes a native example[0] and a WASM example[1] with a demo site[2].
[0]: https://github.com/ggerganov/whisper.cpp/tree/master/example...
- Wchess
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I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
Usage 1: Good to transcribe audio. An example use case could be to summarize YouTube videos or long courses. Usage 2: You talk with voice to your AI that responds with text (later with audio too). - https://github.com/ggerganov/whisper.cpp
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Scrybble is the ReMarkable highlights to Obsidian exporter I have been looking for
π£οΈποΈ whisper.cpp (offline speech-to-text transcription, models trained by OpenAI, CLI based, browser based)
- Whisper.wasm
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Whisper C++ not working for me. Anyone else?
Has anyone played around with Whisper C++ for swift? I'm hitting a snag even on the demo. I've downloaded the github repo and everything matches up with this video [ https://youtu.be/b10OHCDHDQ4 ] but when he hits the transcribe button, it actually prints out the captioning. When I do it, it skips that part and just says "Done...". But it, does everything else - plays the audio, says it's transcribing.. just doesn't show me the transcription: and it's not in the debug window either. But the demo isn't throwing any errors, and I haven't messed with the code really so this is their example. https://github.com/ggerganov/whisper.cpp
What are some alternatives?
say
faster-whisper - Faster Whisper transcription with CTranslate2
DocsGPT - GPT-powered chat for documentation, chat with your documents
bark - π Text-Prompted Generative Audio Model
localsend - An open-source cross-platform alternative to AirDrop
Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
Git-Heat-Map - Visualise a git repository by diff activity
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
ios-app - Official IVPN iOS app
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
hermes - A document management system
llama.cpp - LLM inference in C/C++