Go Text to Speech Software

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Browse free open source Go Text to Speech Software and projects below. Use the toggles on the left to filter open source Go Text to Speech Software by OS, license, language, programming language, and project status.

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  • 1
    KrillinAI

    KrillinAI

    Video translation and dubbing tool powered by LLMs

    KrillinAI is an end-to-end content localization, translation, and dubbing tool aimed at helping creators transform videos into multiple languages with minimal manual effort. It integrates several stages of the pipeline: video acquisition (either from local files or remote via download tools), speech recognition (ASR), subtitle segmentation and alignment, machine translation (with context-aware translation to preserve semantics), and voice cloning + text-to-speech (TTS) to produce dubbed audio tracks. KrillinAI supports both landscape and portrait videos, which makes it suitable for a wide range of platforms — from YouTube to TikTok or other vertical-video sites — and ensures correct formatting and layout for the final video. The tool offers “one-click” workflows and desktop versions, lowering the barrier for users who may not be familiar with video editing or audio processing pipelines.
    Downloads: 19 This Week
    Last Update:
    See Project
  • 2
    sag

    sag

    Like the macOS say command, but with a modern voice

    sag is a command-line text-to-speech utility inspired by the macOS say command but powered by modern ElevenLabs voice synthesis technology. The project allows users to stream synthesized speech directly to speakers, save audio files, or list and manage available voices through a lightweight terminal interface. Designed for speed and convenience, sag supports voice selection, playback rate adjustments, output format inference, and configurable API endpoints for flexible deployment. It integrates naturally into shell scripts, automation pipelines, and AI workflows where high-quality voice synthesis is required without complex setup. The tool emphasizes a familiar UNIX-style experience while significantly improving realism and expressiveness compared to traditional system speech engines. Its developer-focused architecture and Homebrew installation support make it especially appealing for terminal-centric users and automation-heavy environments.
    Downloads: 4 This Week
    Last Update:
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