I know there are various tools that are supposed to make this easy, but I couldn't find anything that did everything I wanted, so I made this today for fun. The web-based offerings all take forever and seem flaky, and you need to process one video at a time, with no control over the transcription settings. In contrast, my script lets you convert a whole playlist in bulk with full control over everything.It's truly easy to use-- you can clone the repo, install to a venv, and be generating a folder full of high quality transcript text files in under 5 minutes. All you need to do is supply the URL to a YouTube playlist or to an individual video file and this tool does the rest automatically. It uses faster-whisper with a high beam_size, so it's a bit slower than you might expect, but this does result in higher accuracy. The best way to use this is to take an existing playlist, or create a new one on YouTube, start this script up, and come back the next morning with all your finished transcripts. It attempts to "upgrade" the output of whisper by taking all the transcript segments, gluing them together, and then splitting them back into sentences (it uses Spacy for this, or a simpler regex-based function). You end up with a single text file with the full transcript all ready to go for each video in the playlist, with a sensible file name based on the title of the video.If you have CUDA installed, it will try to use it, but as with all things CUDA, it's annoyingly fragile and picky, so don't be surprised if you get a CUDA error even if you know for a fact CUDA is installed on your system. If you're looking for reliability, disable CUDA. But if you need to transcribe a LOT of transcripts, it does go much, much faster on a GPU.Even if you don't have a GPU, if you have a powerful machine with a lot of RAM and cores, this script will fully saturate them and can download and process multiple videos at the same time. The default settings are pretty good for that situation. But if you have a slower machine, you might want to use a smaller Whisper model (like `base.en` or even `tiny.en`) and dial down the beam_size to 2.

After hearing several youtubers I follow describe ardiuous manual processes for downloading youtube transcripts, I made a simple app to help anyone download transcripts in bulk.Drag and drop a text file with one url per line, or enter urls manually.hf space demo --> https://huggingface.co/spaces/neonwatty/youtube_shorts_trans...github repo --> https://github.com/neonwatty/youtube_shorts_transcript_downl...

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I've been working on this app for a while and it's finally ready to show people. My wife makes music theory videos on YouTube, and I noticed that she was spending a lot of time and effort producing written materials to give to her Patreon supporters to go along with her videos, which already require a huge amount of effort to produce. I realized that I could put together a couple different open source tools that I had already made to automate much of this work.The resulting app, YouTubeTranscriptOptimizer.com, makes it really quick and easy to paste in a YouTube video URL and have it automatically generate not just a really accurate direct transcription, but also a super polished and beautifully formatted written document that can be used independently of the video.The document basically sticks to the same material as discussed in the video, but it sounds much more like a real piece of writing and not just a transcript. It also lets you optionally generate quizzes based on the contents of the document, which can be either multiple choice or short-answer quizzes, and the multiple choice quizzes get turned into interactive HTML files where you can actually take the quiz and it will grade your answers and score the quiz for you. And to make things simpler for less tech-savvy content creators, I made it easy to host the resulting quizzes and documents directly so you can easily share them with your potentially even less tech-savvy audience.This was the first bigger project that I made using a Nextjs/FastAPI stack, and I was very pleased with the framework. It really lets you manage complexity in a nice way. Things did start to get a bit complicated with state management, and I found using Zustand helped to centralize some of that. Anyway, I'm still trying to figure out the exact target market for this tool. Right now it's more targeted to content creators on YouTube who have a Patreon or similar and want to reward their supporters, but I'm realizing that the market of YouTube viewers is much bigger and those people might want to use the tool themselves to turn videos into documents and quizzes for self study purposes.I'm also working on another version that is document-centric, but it's a bit of a different problem. In the case of YouTube video transcripts, we are dealing with raw speech utterances, so there could be run-on sentences, filler words and other speech errors, etc. Thus we need to really transform the underlying content to first get the optimized document, which can differ quite significantly from the raw transcript. Then we use that optimized document to generate the quizzes.In the case of a document only workflow, we generally want to stick to what's in the document very closely, and just extract the text accurately using OCR if needed (or extract it directly in case we don't need OCR) and then reformat it into nice looking markdown-- but without changing the actual content itself, just its appearance. When we've turned the original document into nice looking markdown, we can then use this to generate the quizzes and perhaps other related outputs (e.g, Anki cards, Powerpoint-type presentation slides, etc).Anyway, I'd love to get some initial feedback. I've done a lot of testing, so it should all basically be working now, but I've never dealt with a heavy load, so it's possible that it will melt down my servers if there is too much traffic.

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Hello HN,I'm excited to introduce RapidTranscribe, an AI-powered transcription service designed to save you time and boost productivity.Personal Story:I often watch lectures on YouTube and recordings from various conferences, usually long files that can be hours or even dozens of hours in length. I’m typically interested in specific moments within these recordings and end up skipping through most of the content. I find it more convenient and faster to read than to listen, and I often want to input the text of these recordings into a language model to ask specific questions. I'm sure I'm not alone in this.I've tried around 50 different transcription services, but almost all of them failed to meet my needs in terms of price or quality for my usage (which is around 50-150 hours per month). I wondered why these services were either too expensive or not quite suitable for my needs, and I realized I could create something better for myself and others.Key Features:- Unlimited Transcriptions: Enjoy unlimited audio and video transcriptions starting at just $15/month.- Speaker Separation: Easily identify and separate different speakers in your transcriptions.- Video Synchronization: Sync transcriptions with your videos for seamless playback.- YouTube Integration: Effortlessly transcribe YouTube videos.- Editable Reports: Edit your transcriptions directly in your browser.- Support for 100+ Languages: Access transcriptions in over 100 languages.- Eternal Free Trial: For small volumes, use our service without ever needing to attach a credit card.Who is it for?- Students: Quickly transcribe lectures and study materials.- Professionals: Convert meetings and conferences to text for easier review.- Content Creators: Transcribe and repurpose video content for blogs, articles, and more.I’d love to hear your feedback and answer any questions you might have.