Read with synchronized highlighting
Text-to-speech and word or sentence highlighting connect spoken output with the source text.
Beta
ARGA | AetherVoice
Give documents a voice.
A self-hosted listening and voice workspace bringing document reading, synchronized highlighting, grounded questions, dictation, podcast, and meeting workflows together.
Why it exists
Designed for
real work.
ARGA | AetherVoice helps people listen to information and work with it by voice. It combines text-to-speech and document ingestion with voice-driven assistance, while keeping self-hosting and local operation central to the architecture. The Beta covers a range of client experiences; the team can help identify the platforms and model configuration that fit your workflow.
What it covers
The capabilities.
Document-grounded questions
Voice questions are designed to use the user's documents and pages as context for responses.
Broad document ingestion
The described ingestion scope includes PDFs, DOCX, EPUB, web pages, and mobile camera scans.
Podcast and dictation workflows
Multi-voice podcasts, interactive voice participation, transcription, and AI-assisted cleanup are described parts of the product direction.
Meeting assistance
Meeting workflows cover transcription, speaker diarization, summaries, and action items.
Local-first architecture
Local and offline operation with optional cloud fallbacks give the deployment a flexible voice-processing architecture. Discuss your offline requirements with the team.
Who it's for
Document-heavy readers
People who want a listening experience for documents and pages.
Voice-first workflows
Users exploring spoken capture, questions, and transcription.
Self-hosting teams
Organizations interested in controlling the voice workspace's deployment.
Current project stage
Beta
ARGA | AetherVoice is in Beta and progressing toward a release candidate. Discuss the supported clients, voice models, hardware, and offline requirements for your deployment with the team.
Ask about availability →