GraphCanon updated 3w · GitHub synced 3w
Decision brief
Good fit when
- Use RealtimeTTS when you need to integrate real-time text-to-speech capabilities into a Python application that requires immediate audio output without delays.
- Opt for RealtimeTTS if your project involves live data with varying speech needs, such as real-time translation and feedback systems.
Avoid when
- Avoid using RealtimeTTS in scenarios where pre-recorded or highly customized voice outputs are crucial, given its focus on speed over customization options.
- Do not use RealtimeTTS if heavy reliance on external cloud services is a requirement, since it emphasizes local execution for performance.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (58d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No criticals
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install RealtimeTTSSimilar 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
RealtimeTTS is a Python-based text-to-speech conversion tool that performs speech synthesis in real-time.
Capability facts
- Languages
- python
Source: github.language · Jul 29, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 29, 2026)
sudo apt-get install python3-dev portaudio19-devSource link
Tags
README
Install
For the fastest local smoke test, install the system engine:
pip install "realtimetts[system]"
On Linux, install PortAudio headers before installing PyAudio:
sudo apt-get update
sudo apt-get install python3-dev portaudio19-dev
On macOS:
brew install portaudio
For cloud engines, local neural engines, CUDA, mpv, and current packaging
caveats, see docs/installation.md.
License
RealtimeTTS source code is MIT licensed. Engine providers, model weights, voice data, datasets, generated audio, and third-party services can have separate terms. Read LICENSING_ADDENDUM.md and the relevant provider or model licenses before commercial use.
Audio samples derived from the EARS dataset by Meta are licensed under CC BY-NC 4.0. See the original dataset terms for details.
For agents
This page has a .md twin and JSON over the API.