transcribe-anything
whisper
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transcribe-anything | whisper | |
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11 | 343 | |
351 | 60,303 | |
- | 5.9% | |
9.3 | 6.4 | |
5 days ago | 16 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
transcribe-anything
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Summarize audio recordings in text
transcribe-anything
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$620,000 stolen from YouTuber Ethan Klein and the H3 Podcast by MCN BroadbandTV and their CEO Shahrzad Rafati
OpenAI whisper. Here is a tool that has it, a video downloader, and some other things bundled in with it: https://github.com/zackees/transcribe-anything
- 32 Open Source Libraries for Python's 32nd Birthday
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Show HN: Self-host Whisper As a Service with GUI and queueing
People interested in this might also be interested in transcribe-anything [1].
It automates video fetching and uses whisper to generate .srt, .vtt and .txt files.
[1] https://github.com/zackees/transcribe-anything
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[P] Free Youtube Subtitles Generator
Nice looks great, link broken but it just needed a hyphen https://github.com/zackees/transcribe-anything
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Gpu accelerated ML apps will soon get a lot easier to deploy - Pytorch-cuda moving to 100% pypi hosting.
Right now the cuda accelerated whls are hosted outside of pypi which can only be accessed by using `--extra-index-url`, when installing from a requirements file (pip install -r requirements.txt). However pip install doesn't allow --extra-index-url for security reasons, which means deploying cuda accelerated ML apps on python is a complicated affair, see this [script](https://github.com/zackees/transcribe-anything/blob/main/install_cuda.py) as an example of what needs to be done to uninstall conflicting cpu only version of pytorch and replace it with cuda acceleration.
- Bro, listen: Interact with OpenAI using voice
- Convert YouTube to Text with OpenAI Whisper
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Draw an owl
Transcribe Anything
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Transcribe Video/Audio on the web using `transcribe-anything`, a front end to WhisperAI
Code Repo: https://github.com/zackees/transcribe-anything (please give my repo a like)
whisper
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Why I Care Deeply About Web Accessibility And You Should Too
Let’s not talk about local models as the hardware requirements are way beyond most of these people’s reach. I have a MacBook Air with an M2 chip and 8GB of RAM and can hardly run Whisper locally, so I use this HuggingFace space.
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How I built NotesGPT – a full-stack AI voice note app
Last week, I launched notesGPT, a free and open source voice note app that has 35,000 visitors, 7,000 users, and over 1,000 GitHub stars so far in the last week. It allows you to record a voice note, transcribes it uses Whisper, and uses Mixtral via Together to extract action items and display them in an action items view. It’s also fully open source and comes equipped with authentication, storage, vector search, action items, and is fully responsive on mobile for ease of use.
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Ask HN: Can AI break a speech audio into individual words?
I found a pretty good discussion in the topic here:
https://github.com/openai/whisper/discussions/1243
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WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
There is a plot of language performance on their repo: https://github.com/openai/whisper
I am not aware of a multi-lingual leaderboard for speech recognition models.
- Ask HN: AI that allows you to make phone calls in a language you don't speak?
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Ask HN: Favorite Podcast Episodes of 2023?
I don't know how OP does it, but here's how I'd do it:
* Generate a transcript by runing Whisper against the podcast audio file: https://github.com/openai/whisper
* Upload transcript to ChatGPT and ask it to summarize.
* Automate all the above.
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Need advice
Ahh, that makes sense. I've been building something like that, but only from other languages into English using Whisper
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Subtitle is now open-source
Whisper already generates subtitles[0], supporting VTT and SRT so this is just a thin wrapper around that.
[0]: https://github.com/openai/whisper/blob/e58f28804528831904c3b...
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
> although it does require you to wear headphones so the bot doesn't hear itself and get interrupted.
Maybe you can rely on some sort of speaker identification to sort this out?
https://github.com/openai/whisper/discussions/264
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Federated Finetuning of OpenAI's Whisper on Raspberry Pi 5
v3 only comes in one flavor: large.
I don’t think you’re going to have a good time running the large model on a Pi of any kind.
The large models are 32x slower than the tiny models, roughly.[0]
I’m seeing people report that the Pi 4 can transcribe 30 seconds of audio in somewhere between 30 seconds and 60 seconds with the tiny model.
You can do the math… 32x = 16 minutes to 32 minutes to transcribe 30 seconds of audio with the large model. Not a good time for most people.
The Pi 5 could be 2x to 3x faster.
I should benchmark my Pi 4 sometime (or Pi 5, if it ever shows up).
[0]: https://github.com/openai/whisper/blob/main/README.md#availa...
What are some alternatives?
frogbase - Transform audio-visual content into navigable knowledge.
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Hentai-Diffusion - The official place for the best A.I.
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
subtitle-generator - Generate subtitles for youtube videos for free with https://text-generator.io
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
static_ffmpeg - Installs FFMPEG v5 On Win32/Ubuntu/MacOS
whisper.cpp - Port of OpenAI's Whisper model in C/C++
ai-notes - notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.