LocalClaw/TTS/IndicTTS
Local TTS model

IndicTTS

Catalogue summary: Multi-Indian language TTS supporting Hindi, Tamil, Telugu, Bengali, Marathi and more. High quality for Indian languages often underserved by other models. Built at IIT Madras.

Repository editorial metadata; verify comparative claims in the linked upstream material.

CPU friendlytext-to-speech generation13 languagesMIT
Choose an app

Start with Recommended. No terminal commands are shown.

Compare speech models
Open official setupRecommended verified starting pointOpen Python packageVerified package page without exposing a commandCheck my machineOptional: verify the fit with your saved hardware
Catalogue quality
8/10
Catalogue speed
8.5/10
Model size
0.8 GB
Voices
Per-language models

Can IndicTTS run locally?

IndicTTS can generate speech locally for private voice workflows. Use the verified setup options on this page; no terminal command is required to choose the right path.

MIT license. Still verify upstream usage notes before shipping.

Upstream source
multilingualrealtime

Audio profile

Cat. quality
8
Cat. speed
8.5
Audio
8.2

Best fit

IndicTTS is best for fast on-device voice responses and local assistants.

Hardware: cpugpu

Model details

Type
Local TTS model
Family
indic
Latency
low
Formats
pytorchonnx
Languages
hi, ta, te, bn, mr, gu, kn, ml, en
Context
13 Indian languages

Install locally

01
Check runtimeConfirm the backend supports pytorch, onnx on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • text-to-speech generation
  • CPU friendly local workflows
  • multilingual, realtime

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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