Integrate podcasts into your second brain with speech-to-text

Google

I started with Google’s transcription service. A mistake: while it’s almost free (processing two 50minute podcasts a month would cost ~$12 a year), Welder (below) is free, while Google’s transcripts (here’s a .txt export of episode 232 and a .csv of episode 230) were underwhelming compared to both Welder and Otter.ai. The interface isn’t easy for non-developers, either.

Otter.ai: wow! (also: pricey!)

Otter.ai (referral link) blew me away, so I made a short video of me using it to explore and annotate edition 232:

tools like Otter.ai could transform audio into useful social objects

But Otter.ai blew my mind by showing me how tools like this could transform audio files into social objects. Imagine if podcasts came packaged in a public, Otter-like container, allowing everyone to make both private or public notes in the sidebar as they read and listen, and comment to other users’ comments. Communities would emerge around individual episodes, podcasters and entire channels, with hashtags helping users discover relevant content from new publishers. The feedback in these notes would help podcasters answer questions and identify new topics to explore, while users sharing their notes socially would expand the podcast’s audience.

Welder/Veed: free and fit for purpose… for now

Welder is a complete package for podcasters, its Transcription Studio is functional and free… and it’s migrating to Veed.io.

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