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Linux user develops offline dictation app with Whisper and local LLM

A Linux user is developing an offline dictation application that leverages Whisper for speech-to-text transcription. The app also plans to incorporate a local language model for refining the transcribed text, aiming to improve grammar and remove filler words. The initial prototype will feature a hotkey to record, transcribe, and output text to predefined desktop fields, with potential future additions like cursor-precise insertion and a dedicated meetings mode. AI

IMPACT This tool could offer a privacy-focused alternative for speech-to-text on Linux, potentially improving workflow for users who prefer local processing.

RANK_REASON The item describes the development of a specific application, not a general release or research breakthrough.

Read on Mastodon — fosstodon.org →

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Linux user develops offline dictation app with Whisper and local LLM

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    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 locall

    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 ~9…