[nmiodice]

I made a tool that enables you to run full text search against audio content and explore the results using an embedded media player.

As of now (mostly for cost reasons) I have ingested a limited set of podcasts.

Please let me know what you think!

Note: It is not yet mobile optimized!

[devbas]

Great idea! Did you deploy a speech-to-text pipeline to achieve this? I always thought it would be relatively expensive to do podcast-to-text translation at scale (compared to the gains) but maybe I just didn't optimize it well enough :)

[jjice]

Not OP, but I've looked into AWS Transcribe [1] and at least their solution would begin to rack up quite a bit of a bill. From what I've seen, there isn't a great open source SST solution yet, although there do seem to be quite a few promising ones [2]. STT is one of the technologies I'm looking forward to most in the open source realm.

[1] https://aws.amazon.com/transcribe/pricing/?nc=sn&loc=3 [2] https://github.com/mozilla/DeepSpeech

[nmstoker]

Seems like it has plenty of potential.

Not sure if I've been unlucky but the terms I searched and found (eg "economic") did not come up in the audio for quite some time after I played the sample. Is it meant to start the audio near the search term occurrence? (which seems like the natural thing you'd expect)

[nmiodice]

Your intuition about how it should work is indeed correct. Some podcasts don't seem to produce a high quality timestamp in the underlying STT engine.

I'll be experimenting with word-level timestamps. Right now I am just getting the timestamp of larger chunks (1-3 sentences).

Thanks for the feedback!

[chid]

this is awesome, I have previously been looking for something like this - where I wanted to learn more about a topic/discover podcasts on this sort of thing.

when I was looking at the cost to transcribe it just didn't make sense to do it for myself.

hope this works out well!

[froindt]

I've wanted this product in the past and found the economics to be similarly challenging. [1] Some podcasts already put out professionally created transcriptions which is great, but I'd need to compile them in one place to figure out who said that one direct quote I remember.

Having people transcribe 5 minutes of audio/month in lieu of a subscription cost equal to 3 minutes of professional transcription was one model I had in mind.

I'm also hoping this works out well.

[1] https://news.ycombinator.com/item?id=15826604

[kreetx]

This is very useful! For UI using algolia or similar would be pretty neat.

[nexuist]

Are there plans to allow users to pick their own podcast episodes?

[pdwittig]

Very strong second on this! Use case for me: Like most ppl, I often listed to podcasts while doing some other primary task (cooking, driving, etc.), and am unable to "note" the interesting snippets. When I go back to find those snippets, I am often unsure of which exact episode I heard it on, and if I do remember that, using the audio scrubber to find it is still a disaster. Would love to give it a try when you roll this out.

[nmiodice]

Yep :)