@hypercatcher Any plans to add a chapters list to the player, c.f. Castro or Podfriend?
@martin And maybe a banner that explains that due to Apples current PWA implementation, background audio works better when you run the app as browser tab :-(
Or did you happen to find a way to get the corresponding app permissions?
@martin You might want to add a “touch-icon” meta header tag to podfried, so iOS users get a proper icon on the home screen instead of
@dave Here you are: https://github.com/Podcastindex-org/aggregator/commit/8e646fef0b802d2c9ac395895fa0c0173a669b80#diff-e2ee9cab0b41545799b2fd7323b8beed22791b77e506ab787a5681f2dd7c42caL1
If you could provide some example data, I would also be able to provide explicit types instead of using `any`...
@dave Is `<podcast:season name="Race for the White House 2020"/>` a valid element, or is the season integer required?
@dave Basically yes. You get the features of typed languages during development, but then compile to classic ES6 or similar when building the production container. I can try a conversion and create a PR for https://github.com/Podcastindex-org/aggregator if you want...
@adam Is it possible to propose guests for ‚Podcasting 2.0‘? If yes: I would really like a discussion between you two and the Podlove.org guys.
@dave If you do not like to write JavaScript, you should try TypeScript. :-)
@dave Has podcastindex.org already provide an endpoint listing all feeds implementing podcast:chapters?
@csb for now. We can generate your apps.json easily later. :-)
@dave @csb Here is a proposal for format with more details: https://github.com/saerdnaer/podcast-features/blob/main/features/podcast-chapters.json
@adam Where can I propose an information architecture for your newpodcastapps.com idea?
@dave can you add JSON_UNESCAPED_SLASHES | JSON_UNESCAPED_UNICODE to the json_encode() options?
@adam is there already a list which app/hoster/software supports which tags/features? Maybe we should start with an online spreadsheet…
@hypercatcher Shure, it only adds the corresponding metadata to the MP3 file. But it should be easy to create a converter script extracting these an presenting them as JSON.
@adam Did you test https://overcast.fm/forecast as chapter editor?
@dave You can use Auphonic as workflow automation tool for adapting AWS/etc. Speech Recognition service to the typical transcript file formats https://auphonic.com/blog/2018/07/03/transcript-editor-amazon-transcribe-speechmatics/
Use a multitrack feature if your DAW supports that for export
@dave you should start using the content:encoded tag, and put only a short summary to itunes:summary...