Comparison
vits vs chatterbox-tts-api
Verdict
Pick vits if vITS stands out in high-quality end-to-end text-to-speech applications due to its integration of variational inference with normalizing flows and adversarial training methods; pick chatterbox-tts-api if chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.
Markdown twin · vits alternatives · chatterbox-tts-api alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | vits | chatterbox-tts-api |
|---|---|---|
| Maintenance | Dormant (966d since push) As of 3w · github_public_v1 | Slowing (232d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- vits
- VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
- chatterbox-tts-api
- Local OpenAI-compatible text-to-speech API using Chatterbox
Stars
- vits
- 7.9k
- chatterbox-tts-api
- 666
Forks
- vits
- 1.4k
- chatterbox-tts-api
- 152
Open issues
- vits
- 165
- chatterbox-tts-api
- 16
Language
- vits
- Python
- chatterbox-tts-api
- Python
Adopt for
- vits
- VITS stands out in high-quality end-to-end text-to-speech applications due to its integration of variational inference with normalizing flows and adversarial training methods.
- chatterbox-tts-api
- Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.
Persona
- vits
- -
- chatterbox-tts-api
- -
Runtime
- vits
- -
- chatterbox-tts-api
- -
License
- vits
- MIT
- chatterbox-tts-api
- Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly.
Last pushed
- vits
- Dec 6, 2023
- chatterbox-tts-api
- Dec 23, 2025
Categories
- vits
- Speech & Audio
- chatterbox-tts-api
- Speech & Audio
Trust and health
Maintenance
- vits
- Dormant (18%)
- chatterbox-tts-api
- Slowing (36%)
Days since push
- vits
- 966d
- chatterbox-tts-api
- 232d
Open issues (now)
- vits
- 165
- chatterbox-tts-api
- 16
OSV dependency advisories
- vits
- Published findings
- chatterbox-tts-api
- No lockfile (source not queried)
Full report
- vits
- Trust report
- chatterbox-tts-api
- Trust report
Shared compatibility
- Python · vits: Python runtime · chatterbox-tts-api: Python runtime
Choose vits if…
- License: vits is MIT, chatterbox-tts-api is AGPL-3.0.
- Requirements: Min 8 GB RAM; Python >= 3.6 is required. Ensure dependencies like espeak are installed.; The model requires specific datasets: LJ Speech for single-speaker and VCTK for multi-speaker scenarios, with necessary preprocessing..
- Tags unique to vits: deep-learning, pytorch, speech-synthesis, text-to-speech.
- Use VITS when you need a single-stage TTS model that generates high-quality, natural-sounding audio similar to ground-truth quality.
When NOT to use vits
- Avoid VITS if your project requires low hardware resources. The model's high-quality output comes at the cost of higher computational demands.
- Do not opt for VITS if your application strictly needs real-time performance, as it prioritizes sample quality over speed through complex inference processes.
Choose chatterbox-tts-api if…
- License: chatterbox-tts-api is AGPL-3.0, vits is MIT.
- Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment..
- Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda.
- When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.
When NOT to use chatterbox-tts-api
- If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries.
- For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jaywalnut310/vits) · observed Jul 29, 2026
- GitHub forks (jaywalnut310/vits) · observed Jul 29, 2026
- Last push (jaywalnut310/vits) · observed Dec 6, 2023
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (travisvn/chatterbox-tts-api) · observed Aug 13, 2026
- GitHub forks (travisvn/chatterbox-tts-api) · observed Aug 13, 2026
- Last push (travisvn/chatterbox-tts-api) · observed Dec 23, 2025
- License file (AGPL-3.0) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: vits 7.9k · chatterbox-tts-api 666 (synced Jul 29, 2026).
Common questions
- What is the difference between vits and chatterbox-tts-api?
- vits: VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. chatterbox-tts-api: Local OpenAI-compatible text-to-speech API using Chatterbox. See the comparison table for live GitHub stats and shared categories.
- When should I choose vits over chatterbox-tts-api?
- Choose vits over chatterbox-tts-api when License: vits is MIT, chatterbox-tts-api is AGPL-3.0; Requirements: Min 8 GB RAM; Python >= 3.6 is required. Ensure dependencies like espeak are installed.; The model requires specific datasets: LJ Speech for single-speaker and VCTK for multi-speaker scenarios, with necessary preprocessing.; Tags unique to vits: deep-learning, pytorch, speech-synthesis, text-to-speech; Use VITS when you need a single-stage TTS model that generates high-quality, natural-sounding audio similar to ground-truth quality.
- When should I choose chatterbox-tts-api over vits?
- Choose chatterbox-tts-api over vits when License: chatterbox-tts-api is AGPL-3.0, vits is MIT; Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.; Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda; When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.
- When should I avoid vits?
- Avoid VITS if your project requires low hardware resources. The model's high-quality output comes at the cost of higher computational demands. Do not opt for VITS if your application strictly needs real-time performance, as it prioritizes sample quality over speed through complex inference processes.
- When should I avoid chatterbox-tts-api?
- If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries. For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.
- Is vits or chatterbox-tts-api more popular on GitHub?
- vits has more GitHub stars (7,889 vs 666). Stars measure visibility, not whether either tool fits your constraints.
- Are vits and chatterbox-tts-api open source?
- Yes - both are open-source projects on GitHub (vits: MIT, chatterbox-tts-api: AGPL-3.0).
- Where can I find alternatives to vits or chatterbox-tts-api?
- GraphCanon lists graph-backed alternatives at vits alternatives and chatterbox-tts-api alternatives (vits markdown twin, chatterbox-tts-api 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, vits or chatterbox-tts-api?
- vits: Dormant. chatterbox-tts-api: Slowing. 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 vits and chatterbox-tts-api?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vits trust report; chatterbox-tts-api trust report.