The more I become accustomed to voice input for my notes, the more I wonder about the optimal integrated workflow with Logseq. Has anyone developed a speech-to-text process alongside Logseq that goes beyond simple copy-pasting?
Not exactly developed but I sometimes use the Recorder App on my Pixel and just share the transcript to Logseq. It’s not perfect but does the job for me.
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Yep. That’s what many of us do. In my case I use Tana Capture for the voice memos, and once I have the curated output, if suitable, paste it using Markdown in Logseq.
But the “copy-pasting” strategy seems a bit old-fashioned… tbh.
MacOS has native speech recognition, and MacWhisper for example works well offline across macOS apps too.
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But, what is the Logseq role in that situation: copy-pasting directly from the transcript? some text parsing in between?
It directly takes the output of the transcription, you are dictating into Logseq itself. MacWhisper lets you setup a whole range of different AI models to process the transcript in between, but I haven’t done that yet.
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You could use the logseq api to add notes, i played a bit with it, it is not perfect, but would be a way to use it. Main problem was to control, when to break a text into peaces.
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