[yakk0]

Compared to other Audiogram tools I've used, this is really easy. Processing time is a bit long, but I did test it with a 2 hour podcast.

I have a couple feature suggestions that I think would be really helpful to podcast producers. Our show has mp3 chapters, and we also include matching time codes in our show notes. If you could read one (or both) of those you could suggest segments for users to clip out.

It would also be great if you could read a RSS feed and use that as an input in addition to uploading single files.

[rememberlenny]

These are wonderful suggestions.

To confirm I understand them, I'm writing them below and would love a way to get in touch with you.

1. You want to be able to create clips based on parsing show notes. Since you already do the work to identify key moments, we could use that to speed up your clip making process.

2. You want to import content based on the RSS feed. This will make it easier to get content in the tool, and avoid the "where is the file" rigmarole.

Separately, the processing time is slow. We have a way to improve this, and is on the queue!

Thank you!

[yakk0]

Correct, but also with 1, there is a way to embed chapters into a mp3 file that's a part of the ID3 standard. We use Forecast (https://overcast.fm/forecast) to do it. I've found that most podcast applications either parse these chapters or timecodes in show notes (or support both), and that would be another way to identify moments that as a producer we've called out in the file.

for 2, the RSS feed would include show notes and greatly speed up the process for bulk production.

If you'd like to get in touch with me, I'm on twitter as @yakk0dotorg. thanks again!