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Parler-TTS

Free#170 of 222 in Text-to-Speech SoftwareGame Voice Generators

Parler-TTS: A local, research-focused TTS toolkit for controlling and fine-tuning generated speech. Ranked #170 of 222 in Text-to-Speech Software by our editors (3.0/10); pricing: Open source; best for researchers fine-tuning prompt-controlled TTS.

3.0/10Editor score
Parler-TTS3.0 Visit Hugging Face

At a glance

  • Editor score
    3.0 / 10
  • Pricing
    Open source
  • Best for
    Researchers fine-tuning prompt-controlled TTS
  • Paid from
    Free
  • Commercial use
    Yes
  • Facts checked
    20 Sep 2026
Parler-TTS screenshot
  • Where it wins

    • Prompt control for gender, pitch, rate, noise, and reverberation
    • Named-speaker consistency across 34 trained speakers
    • Supports local, streaming, batch, training, and fine-tuning workflows
  • Where it doesn't

    • Self-hosted deployment does not provide hosted API access
    • Platform coverage is limited to self-hosted environments
    • Language support is limited to one language

Our verdict on Parler-TTS

Parler-TTS is an open-source text-to-speech model and inference/training library from Hugging Face. It is intended for developers and researchers who want to generate speech locally, control voice characteristics through prompts, or adapt models through training and fine-tuning. The project provides downloadable model weights and supports commercial use. Its published Mini checkpoint is labeled English, while WAV is the listed export format.

Prompt control is the defining capability. Text descriptions can specify speaker, gender, pitch, speaking rate, background noise, and reverberation, giving researchers a way to shape generated speech without relying only on fixed presets. Named-speaker consistency is supported through 34 trained speakers. Streaming and batch generation cover different processing patterns, while SDPA, Flash Attention 2, and PyTorch compilation support are available for supported local workflows.

Parler-TTS follows an open-source, self-hosted model rather than a hosted subscription service. Local inference uses PyTorch and Transformers with downloadable weights, and the project includes inference code, training recipes, and fine-tuning resources. That approach suits teams comfortable managing their own environment and working directly with model code, but it does not provide hosted API access and has limited platform coverage. Choose Parler-TTS when prompt-controlled speech, local execution, or model adaptation matters most. A hosted TTS service or broader platform coverage is a better fit for teams that do not want to manage local inference.

Your product? Our editors can test Parler-TTS in depth and publish a review, labelled as paid · from $149/mo →

Parler-TTS pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on github.com

Parler-TTS fact sheet

Free planNot verified
Paid fromFree
Commercial useYes
Voice cloningNot verified
API accessNot verified
Languages1 languages
Maximum inputNot verified
Export formatsWAV
Platformsself_hosted
DeploymentSelf-hosted
SupportCommunity, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
PricingOpen source
Websitegithub.com
Facts checked20 Sep 2026

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Also Ranked In

Parler-TTS is ranked in 2 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — Parler-TTS 3.0/10

Parler-TTS is listed in our Text-to-Speech Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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