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#indie_web — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #indie_web, aggregated by home.social.

  1. I’m currently tinkering with an idea:
    An offline dictation app for Linux that transcribes spoken language using Whisper and optionally refines it using a locally running model (“Enhance” step: smooth out grammar, remove filler words). 😁

    As is my usual practice, I’m building it ~99% with LLM support.

    Since I’m not a programmer, but rather a proof-of-concept tinker. 😉

    For the first prototype:
    Hotkey → Record → Transcription → Text lands in one of 9 fixed output fields on the desktop. Cursor-precise insertion and a meetings mode will come later (if at all).

    Question for the group:
    Who on Linux would even be interested in something like this, or is there already something similar out there that I’ve overlooked? 🤔

    #Linux #Dictation #Speech_to_Text #Indie_Web #Idea #LLM #AI #App #Vibe_Coding #Transcription #Programming #Tinkering

  2. I’m currently tinkering with an idea:
    An offline dictation app for Linux that transcribes spoken language using Whisper and optionally refines it using a locally running model (“Enhance” step: smooth out grammar, remove filler words). 😁

    As is my usual practice, I’m building it ~99% with LLM support.

    Since I’m not a programmer, but rather a proof-of-concept tinker. 😉

    For the first prototype:
    Hotkey → Record → Transcription → Text lands in one of 9 fixed output fields on the desktop. Cursor-precise insertion and a meetings mode will come later (if at all).

    Question for the group:
    Who on Linux would even be interested in something like this, or is there already something similar out there that I’ve overlooked? 🤔

    #Linux #Dictation #Speech_to_Text #Indie_Web #Idea #LLM #AI #App #Vibe_Coding #Transcription #Programming #Tinkering

  3. I’m currently tinkering with an idea:
    An offline dictation app for Linux that transcribes spoken language using Whisper and optionally refines it using a locally running model (“Enhance” step: smooth out grammar, remove filler words). 😁

    As is my usual practice, I’m building it ~99% with LLM support.

    Since I’m not a programmer, but rather a proof-of-concept tinker. 😉

    For the first prototype:
    Hotkey → Record → Transcription → Text lands in one of 9 fixed output fields on the desktop. Cursor-precise insertion and a meetings mode will come later (if at all).

    Question for the group:
    Who on Linux would even be interested in something like this, or is there already something similar out there that I’ve overlooked? 🤔

    #Linux #Dictation #Speech_to_Text #Indie_Web #Idea #LLM #AI #App #Vibe_Coding #Transcription #Programming #Tinkering

  4. I’m currently tinkering with an idea:
    An offline dictation app for Linux that transcribes spoken language using Whisper and optionally refines it using a locally running model (“Enhance” step: smooth out grammar, remove filler words). 😁

    As is my usual practice, I’m building it ~99% with LLM support.

    Since I’m not a programmer, but rather a proof-of-concept tinker. 😉

    For the first prototype:
    Hotkey → Record → Transcription → Text lands in one of 9 fixed output fields on the desktop. Cursor-precise insertion and a meetings mode will come later (if at all).

    Question for the group:
    Who on Linux would even be interested in something like this, or is there already something similar out there that I’ve overlooked? 🤔

    #Linux #Dictation #Speech_to_Text #Indie_Web #Idea #LLM #AI #App #Vibe_Coding #Transcription #Programming #Tinkering

  5. I’m currently tinkering with an idea:
    An offline dictation app for Linux that transcribes spoken language using Whisper and optionally refines it using a locally running model (“Enhance” step: smooth out grammar, remove filler words). 😁

    As is my usual practice, I’m building it ~99% with LLM support.

    Since I’m not a programmer, but rather a proof-of-concept tinker. 😉

    For the first prototype:
    Hotkey → Record → Transcription → Text lands in one of 9 fixed output fields on the desktop. Cursor-precise insertion and a meetings mode will come later (if at all).

    Question for the group:
    Who on Linux would even be interested in something like this, or is there already something similar out there that I’ve overlooked? 🤔

    #Linux #Dictation #Speech_to_Text #Indie_Web #Idea #LLM #AI #App #Vibe_Coding #Transcription #Programming #Tinkering

  6. Bastel gerade an einer Idee:
    Eine offline Diktier-App für Linux, die gesprochene Sprache per Whisper transkribiert und optional per lokal laufendem Modell nachbearbeitet ("Enhance"-Schritt: Grammatik glätten, Füllwörter raus). 😁

    Gebaut wird's wie bei mir üblich zu ~99% mit LLM-Unterstützung.

    Da ich kein Programmierer bin, sondern Proof-of-Concept-Bastler. 😉

    Für den ersten Prototyp:
    Hotkey → Aufnahme → Transkription → Text landet in einem von 9 festen Ausgabefeldern auf dem Desktop. Cursor-genaues Einfügen und ein Meetings-Modus kommen (wenn überhaupt) später.

    Frage in die Runde:
    Wer hätte unter Linux überhaupt an so etwas interesse, oder gibt's längst was Vergleichbares, das ich übersehen habe? 🤔

    #Linux #Diktieren #Sprache_zu_Text #Indie_Web #Idee #LLM #KI #App #Vibe_Coding #Transkription #Programmieren #Basteln