Solution: charge by number of characters generated.
OpenAI charges by the minute, so speed up your audio
51–60 of 234 posts
Re: OpenAI charges by the minute, so speed up your audio
#52Earlier quoted context omitted.
> His natural talking speed is already >=1.5x that of a normal human. One of the people you absolutely have to set your YouTube speed back down to 1x when listening to follow what's going on. I wonder if there's a way to automatically detect how "fast" a person talks in an audio file. I know it's subjective and different people talk at different paces in an audio, but it'd be cool to kinda know when OP's trick fails…
It's a shame platforms don't generally support speeds greater than 2x. One of my "superpowers" or a curse is that I cannot stand normal speaking pace. When I watch lectures, I always go for maximum speed and that still is too slow for me. I wish platforms have included 4x but done properly (with minimal artefacts).
All audiobooks are like this for me. I tried it for lectures but if I'm taking handwritten notes, I can't keep up my writing.
I wonder if there is negative side effects of this though, do you notice when interacting with people who speak slower require a greater deal of patience?
Re: OpenAI charges by the minute, so speed up your audio
#53With transcribing a talk by Andrej, you already picked the most challenging case possible, speed-wise. His natural talking speed is already >=1.5x that of a normal human. One of the people you absolutely have to set your YouTube speed back down to 1x when listening to follow what's going on. In the idea of making more of an OpenAI minute, don't send it any silence. E.g. ffmpeg -i video-audio.m4a \ -af "silenceremove=…
> His natural talking speed is already >=1.5x that of a normal human. One of the people you absolutely have to set your YouTube speed back down to 1x when listening to follow what's going on. I wonder if there's a way to automatically detect how "fast" a person talks in an audio file. I know it's subjective and different people talk at different paces in an audio, but it'd be cool to kinda know when OP's trick fails…
Even a last-decade transcription model could be used to detect a rough number of syllables per unit time, and the accuracy of that model could be used to guide speed-up and dead-time detection before sending to a more expensive model. As with all things, it's a question of whether the cost savings justify the engineering work.
Re: OpenAI charges by the minute, so speed up your audio
#54Earlier quoted context omitted.
> His natural talking speed is already >=1.5x that of a normal human. One of the people you absolutely have to set your YouTube speed back down to 1x when listening to follow what's going on. I wonder if there's a way to automatically detect how "fast" a person talks in an audio file. I know it's subjective and different people talk at different paces in an audio, but it'd be cool to kinda know when OP's trick fails…
It's a shame platforms don't generally support speeds greater than 2x. One of my "superpowers" or a curse is that I cannot stand normal speaking pace. When I watch lectures, I always go for maximum speed and that still is too slow for me. I wish platforms have included 4x but done properly (with minimal artefacts).
https://github.com/codebicycle/videospeed has been a wonderful addition for me.
Re: OpenAI charges by the minute, so speed up your audio
#55I built a Chrome extension with one feature that transcribes audio to text in the browser using huggingface/transformers.js running the OpenAI Whisper model with WebGPU. It works perfect! Here is a list of examples of all the things you can do in the browser with webgpu for free. [0]
The last thing in the world I want to do is listen or watch presidential social media posts, but, on the other hand, sometimes enormously stupid things are said which move the SP500 up or down $60 in a session. So this feature queries for new posts every minute, does ORC image to text and transcribe video audio to text locally, sends the post with text for analysis, all in the background inside a Chrome extension before notify me of anything economically significant.
[0] https://github.com/huggingface/transformers.js/tree/main/exa...
Re: OpenAI charges by the minute, so speed up your audio
#56A point on skimming vs taking the time to read something properly. I read a transcript + summary of that exact talk. I thought it was fine, but uninteresting, I moved on. Later I saw it had been put on youtube and I was on the train, so I watched the whole thing at normal speed. I had a huge number of different ideas, thoughts and decisions, sparked by watching the whole thing. This happens to me in other areas too.…
You'd love where I work. Everything is needlessly long bloviating power point meetings that could easily be ingested in a 5 minute email.
Re: OpenAI charges by the minute, so speed up your audio
#57Omg long post. TLDR from an LLM for anyone interested
Speed your audio up 2–3× with ffmpeg before sending it to OpenAI’s gpt-4o-transcribe: the shorter file uses fewer input-tokens, cuts costs by roughly a third, and processes faster with little quality loss (4× is too fast). A sample yt-dlp → ffmpeg → curl script shows the workflow.
;)
Re: OpenAI charges by the minute, so speed up your audio
#58Why would you give up your privacy by sending what interests you to OpenAI when whisper doesn't need that much computer in the first place? With faster-whisper (int8, batch=8) you can transcripe 13 minutes of audio in 51 seconds on CPU .
I came here to ask the same question. This is a well-solved problem, red queen racing it seems utterly pointless, a symptom of reflexive adversarialism.
Re: OpenAI charges by the minute, so speed up your audio
#59When extracting transcripts from YouTube videos, can anyone give advice on the best (cost effective, quick, accurate) way to do this? I'm confused because I read in various places that the YouTube API doesn't provide access to transcripts ... so how do all these YouTube transcript extractor services do it? I want to build my own YouTube summarizer app. Any advice and info on this topic greatly appreciated!
There's a tool that uses YouTube's unofficial APIs to get them if they're available: https://github.com/jdepoix/youtube-transcript-api For our internal tool that transcribes local city council meetings on YouTube (often 1-3 hours long), we found that these automatic ones were never available though. (Our tool usually 'processes' the videos within ~5-30 mins of being uploaded, so that's also why none are probably avai…
Very useful, thanks. So does this mean that every month or so you have to create a new 'clean' YouTube account and use that to create new po_token/cookies?
It's frustrating to have to jump through all these hoops just to extract transcripts when the YouTube Data API already gives reasonable limits to free API calls ... would be nice if they allowed transcripts too.
Do you think the various YouTube transcript extractor services all follow a similar method as yours?
Re: OpenAI charges by the minute, so speed up your audio
#60Omg long post. TLDR from an LLM for anyone interested Speed your audio up 2–3× with ffmpeg before sending it to OpenAI’s gpt-4o-transcribe: the shorter file uses fewer input-tokens, cuts costs by roughly a third, and processes faster with little quality loss (4× is too fast). A sample yt-dlp → ffmpeg → curl script shows the workflow. ;)
This is the sort of content I want to see in Tweets and LinkedIn posts.
I have been thinking for a while how do you make good use of the short space in those places.
LLM did well here.