Bear in mind, though, that the technology for dealing with these things are rapidly advancing.

I have an enormous amount of digital archives I've collected both from myself and from my now-deceased father. For years I just kept them stashed away. But about a year ago I downloaded the Whisper speech-to-text model from OpenAI and transcribed everything with audio into text form. I now have a Qwen3 LLM in the process of churning through all of those transcripts writing summaries of their contents and tagging them based on subject matter. I expect pretty soon I'll have something with good enough image recognition that I can turn loose on the piles of photographs to get those sorted out by subject matter too. Eventually I'll be able to tell my computer "give me a brief biography of Uncle Pete" and get something pretty good out of all that.

Yeah, boo AI, hallucinations, and so forth. This project has given me first-hand experience with what they're currently capable of and it's quite a lot. I'd be able to do a ton more if I wasn't restricting myself to what can run on my local GPU. Give it a few more years.

You said you released it on your writing. How did you go about doing that? It's a cool use case, and I'm intrigued.

It's a bit technical, I haven't found any pre-packaged software to do what I'm doing yet.

First I installed https://github.com/openai/whisper , the speech-to-text model that OpenAI released back when they were less blinded by dollar signs. I wrote a Python script that used it to go through all of the audio files in the directory tree where I'm storing this stuff and produced a transcript that I stored in a .json file alongside it.

For the LLM, I installed https://github.com/LostRuins/koboldcpp/releases/ and used the https://huggingface.co/unsloth/Qwen3-30B-A3B-128K-GGUF model, which is just barely small enough to run smoothly on my RTX 4090. I wrote another Python script that methodically goes through those .json files that Whisper produced, takes the raw text of the transcript, and feeds it to the LLM with a couple of prompts explaining what the transcript is and what I'd like the LLM to do with it (write a summary, or write a bullet-point list of subject tags). Those get saved in the .json file too.

Most recently I've been experimenting with creating an index of the transcripts using those LLM results and the Whoosh library in Python, so that I can do local searches of the transcripts based on topics. I'm building towards writing up something where I can literally tell it "Tell me about Uncle Pete" and it'll first search for the relevant transcripts and then feed those into the LLM with a prompt to extract the relevant information from them.

If you don't find the idea of writing scripts for that sort of thing literally fun (like me) then you may need to wait a bit for someone more capable and more focused than I am to create a user-friendly application to do all this. In the meantime, though, hoard that data. Storage is cheap.

That's awesome! Thank you!

If you don’t find the idea of writing scripts for that sort of thing literally fun...

I absolutely do. What I find as a potential showstopper for me right now, is that I don't have a nonintegrated GPU, which makes complex LLMs hard to run. Basically, if I can't push the processing to CPU, I'm looking at around 2-5 seconds per token; it's rough. But I like your workflow a lot, and I'm going to try to get something similar going with my incredibly old hardware, and see if CPU-only processing of this would be something feasible (though, I'm not super hopeful there).

And, yes, I, too, am aware of the hallucinations and such that come from the technology. But, honestly, for this non-critical use case, I don't really care.

A long time ago, I had the idea for a startup to keep digital material, including accounts, passwords, old documents, etc. in a digital vault that would be released to the next-of-kin when someone dies. It would also convert documents to newer formats so your old unpublished WordPerfect novel could be opened and read by the grandkids (should they choose).

Problem is, nobody would (or should) trust a startup with that material. This is stuff that should be around for many decades and most startups go out of business.

A long time ago, I had the idea for a startup to keep digital material, including accounts, passwords, old documents, etc. in a digital vault that would be released to the next-of-kin when someone dies. It would also convert documents to newer formats so your old unpublished WordPerfect novel could be opened and read by the grandkids (should they choose).

Problem is, nobody would (or should) trust a startup with that material. This is stuff that should be around for many decades and most startups go out of business.

This is something that I've really been thinking about lately as I get older and my kids start to grow up. I've got 60TB+ of digital data, including all my families history of photos and videos digitized which are backed up to 3 separate cloud services, onenote filled with information, password managers filled with logins and details, etc, along with my Steam/Xbox/Playstation/Epic/GOG/etc accounts with 1000+ games on them.

I'm tempted to make a website/app to try and tie it all together in an easy way tbh.

Yup. My parents aren't even in ill health, let alone dead, but we recently took all the old VHS tapes, including a lot of OTA recordings, and a significant number of DVDs, and dumped them. Recordings of talking with relatives got digitized, same way you'd keep family photos.

I have no expectation that people keep my junk. I'll pass on a handful of stuff like identifying photos of people and places, but nobody wants or needs the 500 photos of my cat. Even I don't want that many, but storage is cheap enough that I don't bother to delete the useless ones.

backed up to 3 separate cloud services

Why so many?

Bitwarden does all that. If you pay the subscription you get a GB of storage and delegate emergency access to other people.

I only just recently discovered that my installation of Whisper was completely unaware that I had a GPU, and was running entirely on my CPU. So even if you can't get a good LLM running locally you might still be able to get everything turned into text transcripts for eventual future processing.

A long time ago, I had the idea for a startup to keep digital material, including accounts, passwords, old documents, etc. in a digital vault that would be released to the next-of-kin when someone dies. It would also convert documents to newer formats so your old unpublished WordPerfect novel could be opened and read by the grandkids (should they choose).

Problem is, nobody would (or should) trust a startup with that material. This is stuff that should be around for many decades and most startups go out of business.

I think it would be interesting to have some kind of global archive. Even if descendants don't care "now" has the potential to be the beginning of the best documented era in history. Historians would kill for photographs by random average people from any other time.

A lot of people thought that that's what the Internet would be, but that's obviously not the case. And I know the "right to be forgotten" is a thing, and deservedly so, but at some point you're throwing out the wine with the amphora.

Does Bitwarden have emergency delegation now? I’d been waiting for it

This is stuff that should be around for many decades

Should it? 99.99% of my email doesn't need to be around for more than a few days, let alone decades. And that number will only go up when I'm dead. Really important stuff, like ownership titles, is on file in paper here in my house and with the relevant title agency.