sagElevenLabs text-to-speech with mac-style say UX.
Install via ClawdBot CLI:
clawdbot install steipete/sagInstall sag (brew):
brew install steipete/tap/sagRequires:
Grade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://sag.shAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Producers use sag to generate expressive voiceovers for YouTube videos, podcasts, and social media clips. It supports audio tags like [whispers] or [excited] for dramatic effects, enhancing engagement without needing professional recording studios.
Educators integrate sag to create multilingual audio content for online courses, using stable models like eleven_multilingual_v2. It helps deliver clear pronunciations with language bias settings, making learning accessible across regions.
Businesses deploy sag to generate voice responses in chatbots or IVR systems, with fast models like eleven_flash_v2_5 for quick playback. Audio tags add emotional nuance, improving user experience in support interactions.
Developers build apps that convert text to speech using sag's local playback, offering customizable voices and pauses. It aids in reading digital content aloud, with normalization features for numbers and URLs to ensure clarity.
Game designers and writers use sag to produce character dialogues with specific voices, leveraging v3 audio tags for emotional depth. It allows real-time audio generation, enhancing immersive experiences in interactive media.
Offer tiered subscriptions providing access to sag's TTS features, with higher tiers including advanced models and voice customization. Revenue comes from monthly fees based on usage limits and premium support.
License sag to enterprises for embedding into their products, such as e-learning platforms or customer service tools. Revenue is generated through one-time licensing fees or annual contracts with technical support.
Provide a free version with basic TTS capabilities, while charging for advanced features like multilingual models, audio tags, and high-volume usage. Revenue streams from upgrades and in-app purchases.
💬 Integration Tip
Set the ELEVENLABS_API_KEY environment variable and install sag via brew for quick setup; use voice defaults like -v Clawd to streamline audio generation in applications.
Scored Apr 16, 2026
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Local speech-to-text with the Whisper CLI (no API key).
Local text-to-speech via sherpa-onnx (offline, no cloud)
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").
Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.
Turn your AI into JARVIS. Voice, wit, and personality — the complete package. Humor cranked to maximum.