What is Piper?
An open-source neural network-based text-to-speech system built for local deployment, emphasizing speed and efficiency.
Piper pricing
We don't have Piper's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What Piper does
The capabilities that matter for text to speech, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Voice cloning
- -
- Zero shot cloning
- -
- Streaming synthesis
- -
- Ssml support
- -
- Emotion style control
- -
- On device offline
- ✓
- Open source
- ✓
- Watermarking provenance
- -
- Cloning consent verification
- -
Platform & deployment
Independently observed- On-premise
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Piper FAQ
Common questions about Piper, answered from independent, dated evidence.
What is Piper?
Open-source software that converts text to speech using neural networks, optimized to run locally for fast inference without requiring external services It is indexed under Text To Speech.
Source: https://github.com/pricing
Is Piper free to use?
Piper is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.
Source: https://github.com/pricing
Can Piper be self-hosted?
Yes. Piper can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://github.com/pricing
Is Piper open source?
Yes. Piper is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Source: https://github.com/rhasspy/piper
Piper alternatives
Other text to speech we track, ranked by the same independent score.
- Amazon PollyConverts text to natural-sounding speech using AI networksmedium · 73%
- Murf AIAI-powered voice platform for synthesizing, transforming, and localizing spoken contentmedium · 53%
- Coqui TTSA deep learning toolkit for converting written text into natural-sounding speechlow · 28%
- WellSaid LabsGenerate realistic studio-quality synthetic voices from text in secondslow · 36%
- ElevenLabsAPI platform for generating realistic synthetic speech and audio contentlow · 34%
- eSpeak NGFree, multilingual voice synthesis software for multiple platformslow · 38%
Compare Piper
Side by side against other text to speech, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Piper, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 63 | 0.08 | 5.1 | ✓ |
| Capabilities | 46 | 0.08 | 3.7 | ✓ |
| Stars | 77 | 0.05 | 3.6 | ✓ |
| Integrations | 0 | 0.05 | 0.0 | - |
| Dependent projects | 0 | 0.05 | 0.0 | ✓ |
| Development activity | 0 | 0.14 | 0.0 | ✓ |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 0 | mediumsource · 2026-10-14 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 4 items | mediumsource · 2026-09-10 · 69% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source, On device offline | mediumsource · 2026-10-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | C++ | highsource · 2026-10-14 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-10-14 · 95% |
Pricing
Release
Security
Is Piper the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Piper against the rest of the text to speech we index, using the same dated evidence weighted your way.
Free to run, no account needed to start. How the evaluation works
Is this your product?
This profile was built from public sources without asking you. You can take the badge below and use it anywhere, and you can claim the profile to correct anything we got wrong. Both are free, and neither moves Piper up or down: nobody can buy rank here, including you.
Take the badge
Live, always current, and free to use on your own site. It shows Piper's independent score and links back to this profile.
<a href="https://www.vioscale.ai/software/piper" target="_blank" rel="noopener">
<img src="https://www.vioscale.ai/badge/software/piper.svg" alt="Piper, verified on vioscaleAI" width="330" height="76" loading="lazy" />
</a>Markdown, for a README →
[](https://www.vioscale.ai/software/piper)Claim the profile
Verify you control the domain, then point us at the pages that state the facts about Piper and add your own description and media. Free, and it does not change the score.
- Correct anything wrong, with evidence
- Point our crawler at the pages that matter
- Write your own description and add media
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