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NOTE:
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Hence, a higher number means a better whisper.cpp alternative or higher similarity.
whisper.cpp discussion
whisper.cpp reviews and mentions
Posts with mentions or reviews of whisper.cpp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-02-11.
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Building a personal, private AI computer on a budget
A great thread with the type of info your looking for lives here: https://github.com/ggerganov/whisper.cpp/issues/89
But you can likely find similar threads for the llama.cpp benchmark here: https://github.com/ggerganov/llama.cpp/tree/master/examples/...
These are good examples because the llama.cpp and whisper.cpp benchmarks take full advantage of the Apple hardware but also take full advantage of non-Apple hardware with GPU support, AVX support etc.
It’s been true for a while now that the memory bandwidth of modern Apple systems in tandem with the neural cores and gpu has made them very competitive Nvidia for local inference and even training.
- Whisper.cpp: Looking for Maintainers
- Show HN: Galene-stt: automatic captioning for the Galene videconferencing system
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Show HN: Transcribe YouTube Videos
Not as convenient, but you could also have the user manually install the model, like whisper does.
Just forward the error message output by whisper, or even make a more user-friendly error message with instructions on how/where to download the models.
Whisper does provide a simple bash script to download models: https://github.com/ggerganov/whisper.cpp/blob/master/models/...
(As a Windows user, I can run bash scripts via Git Bash for Windows[1])
[1]: https://git-scm.com/download/win
- OTranscribe: A free and open tool for transcribing audio interviews
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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. It’s 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 – 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...
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Stats
Basic whisper.cpp repo stats
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38,675
9.9
5 days ago
ggerganov/whisper.cpp is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of whisper.cpp is C++.
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