Local TTS model
Edge TTS
Python interface to Microsoft Edge's online TTS. Not fully local but works offline with cached voices.
CPU friendly
text-to-speech generation
100 languages
GPL-3.0
Quality
8/10
Speed
9.5/10
Model size
0.05 GB
Voices
Edge voices
Can Edge TTS run locally?
Edge TTS can generate speech locally for private voice workflows. Start with pip install edge-tts.
GPL-3.0 license. Review upstream restrictions before commercial use.
pip install edge-tts
Upstream source
realtimemultilingual
Audio profile
Best fit
Edge TTS is best for fast on-device voice responses and local assistants.
Hardware: cpu
Model details
Type
Local TTS model
Family
edge
Latency
low
Formats
mp3webm
Languages
multilingual
Context
Requires internet
Install locally
01
Check runtimeConfirm the backend supports mp3, webm on your machine.02
Install modelUse the upstream command or repository instructions.03
Test locallyRun a short private audio prompt before moving into production workflows.pip install edge-tts
Good for
- text-to-speech generation
- CPU friendly local workflows
- realtime, multilingual
Watch before shipping
- Validate pronunciation, latency and artifacts with your own voice samples.
- Review the upstream license and acceptable-use notes.
- Benchmark on your target CPU, Apple Silicon or GPU setup.
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