VoiceStreamAI
Near-Realtime audio transcription using self-hosted Whisper and WebSocket
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
VoiceStreamAI offers near-real-time transcriptions using WebSocket and self-hosted Whisper model, deployable via Docker or manual setup.
Good fit when
- Need high-quality real-time audio transcription
- Available for Python/JS-based projects
Avoid when
- Looking for a cloud-hosted solution without self-management
- Not prepared to handle GPU setup for Docker if leveraging CUDA
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (37d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- 38 low (38 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install VoiceStreamAISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
VoiceStreamAI provides near-real-time speech-to-text functionality leveraging WebSocket for real-time communication and Whisper for high-quality transcriptions. It operates with a server setup managed either by Docker containerization or through a manual Python installation.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
To set up the VoiceStreamAI server, you need Python 3.8 or later and theSource link
Tags
README
Running with Docker This will not guide you in detail on how to use CUDA in docker, see for example here. Still, these are the commands for Linux: You can build the container image with: After getting your VAD token (see next sections) run: The "volume" stuff will allow you not t...
For agents
This page has a .md twin and JSON over the API.