What is Coqui TTS?
A neural network-based framework for converting text to natural-sounding speech, supporting multiple languages and speakers. It provides both command-line and Python APIs for building, training, and deploying text-to-speech models.
Coqui TTS pricing
We don't have Coqui TTS's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Platform & deployment
Independently observed- CLI
- macOS
- Linux
- Windows
- Cloud / SaaS
- Self-hosted
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Coqui TTS alternatives
Other text to speech we track, ranked by the same independent score.
- Murf AIAI platform for generating natural-sounding voiceovers and conversational voice agentsmedium · 53%
- ElevenLabsAI-powered voice technology platform for generating speech, creating voice agents, and producing audio contentlow · 43%
- Amazon PollyCloud-based text-to-speech service that converts written content into natural-sounding spoken audiomedium · 61%
- eSpeak NGlow · 26%
- Piperlow · 20%
- WellSaid LabsGenerate professional-quality AI voiceovers from text using realistic voices modeled from professional voice actorslow · 44%
Compare Coqui TTS
Side by side against other text to speech, attribute by attribute, with a source on every value.
The Vioscale 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 Coqui TTS, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Price level | 100 | 0.05 | 5.2 | ✓ |
| Release cadence | 82 | 0.05 | 4.3 | ✓ |
| Pricing transparency | 25 | 0.08 | 2.1 | ✓ |
| Stars | 64 | 0.03 | 1.7 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Capabilities | 0 | 0.08 | 0.0 | - |
| Integrations | 0 | 0.09 | 0.0 | - |
| Dependent projects | 0 | 0.06 | 0.0 | ✓ |
| Development activity | 0 | 0.09 | 0.0 | ✓ |
| Security posture | 0 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 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 · 2026-08-26 · 65% |
Adoption
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MPL-2.0 | highsource · 2026-08-26 · 95% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=coqui-tts&per_page=100 · Last 12m: 0 | highsource · 2026-08-26 · 90% |