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Comparison

ChatTTS vs RHVoice

Verdict

Pick ChatTTS when chatTTS is primarily Python; RHVoice is C++; pick RHVoice when rHVoice is primarily C++; ChatTTS is Python.

Markdown twin · ChatTTS alternatives · RHVoice alternatives

GraphCanon updated today

ChatTTS logo

ChatTTS

2noise/ChatTTS

★ 40kpushed Apr 10, 2026
vs
RHVoice logo

RHVoice

RHVoice/RHVoice

★ 1.8kpushed Jun 22, 2026

Trust & integrity

SignalChatTTSRHVoice
Maintenance
Slowing (91d since push)
As of 1d · github_public_v1
Active (19d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of today · none
ChatTTS trust reportRHVoice trust reportTrust methodology

Tagline

ChatTTS
A generative speech model for daily dialogue
RHVoice
a free and open source speech synthesizer for Russian and other languages

Stars

ChatTTS
40k
RHVoice
1.8k

Forks

ChatTTS
4.2k
RHVoice
264

Open issues

ChatTTS
63
RHVoice
167

Language

ChatTTS
Python
RHVoice
C++

Adopt for

ChatTTS
ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
RHVoice
-

Persona

ChatTTS
-
RHVoice
-

Runtime

ChatTTS
-
RHVoice
-

License

ChatTTS
Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works.
RHVoice
GPL-2.0

Last pushed

ChatTTS
Apr 10, 2026
RHVoice
Jun 22, 2026

Categories

ChatTTS
AI Agents, Speech & Audio
RHVoice
Speech & Audio, Vector Databases

Trust and health

Maintenance

ChatTTS
Slowing (36%)
RHVoice
Active (82%)

Days since push

ChatTTS
91d
RHVoice
19d

Open issues (now)

ChatTTS
63
RHVoice
167

Full report

ChatTTS
Trust report
RHVoice
Trust report

Choose ChatTTS if…

  • ChatTTS is primarily Python; RHVoice is C++.
  • License: ChatTTS is AGPL-3.0, RHVoice is GPL-2.0.
  • Requirements: Python-based implementation means that familiarity with Python is necessary for effective use..
  • Tags unique to ChatTTS: agent, chatgpt, chattts, chinese-language.
  • Also covers AI Agents.
  • Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages.

When NOT to use ChatTTS

  • Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation.
  • Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English.
GitHubDetails

Choose RHVoice if…

  • RHVoice is primarily C++; ChatTTS is Python.
  • License: RHVoice is GPL-2.0, ChatTTS is AGPL-3.0.
  • Tags unique to RHVoice: android, brazilian-portuguese, english, esperanto.
  • Also covers Vector Databases.

When NOT to use RHVoice

  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
GitHubDetails

Explore

ChatTTS trust report →RHVoice trust report →AI Agents category →Speech & Audio category →Vector Databases category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ChatTTS 40k · RHVoice 1.8k (synced Jul 11, 2026).

Common questions

What is the difference between ChatTTS and RHVoice?
ChatTTS: A generative speech model for daily dialogue. RHVoice: a free and open source speech synthesizer for Russian and other languages. See the comparison table for live GitHub stats and shared categories.
When should I choose ChatTTS over RHVoice?
Choose ChatTTS over RHVoice when ChatTTS is primarily Python; RHVoice is C++; License: ChatTTS is AGPL-3.0, RHVoice is GPL-2.0; Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.; Tags unique to ChatTTS: agent, chatgpt, chattts, chinese-language; Also covers AI Agents; Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages.
When should I choose RHVoice over ChatTTS?
Choose RHVoice over ChatTTS when RHVoice is primarily C++; ChatTTS is Python; License: RHVoice is GPL-2.0, ChatTTS is AGPL-3.0; Tags unique to RHVoice: android, brazilian-portuguese, english, esperanto; Also covers Vector Databases.
When should I avoid ChatTTS?
Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation. Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English.
When should I avoid RHVoice?
Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is ChatTTS or RHVoice more popular on GitHub?
ChatTTS has more GitHub stars (39,593 vs 1,820). Stars measure visibility, not whether either tool fits your constraints.
Are ChatTTS and RHVoice open source?
Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, RHVoice: GPL-2.0).
Where can I find alternatives to ChatTTS or RHVoice?
GraphCanon lists graph-backed alternatives at ChatTTS alternatives and RHVoice alternatives (ChatTTS markdown twin, RHVoice markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, ChatTTS or RHVoice?
ChatTTS: Slowing. RHVoice: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for ChatTTS and RHVoice?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; RHVoice trust report.