Comparison
speech-to-speech vs chatterbox-tts-api
Verdict
Pick speech-to-speech if speech-to-speech is an open-source Python package geared towards building localized voice agents via real-time and pre-recorded audio processing; 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 · speech-to-speech alternatives · chatterbox-tts-api alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | speech-to-speech | chatterbox-tts-api |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Slowing (232d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- speech-to-speech
- Build local voice agents with open-source models
- chatterbox-tts-api
- Local OpenAI-compatible text-to-speech API using Chatterbox
Stars
- speech-to-speech
- 8.2k
- chatterbox-tts-api
- 666
Forks
- speech-to-speech
- 1.0k
- chatterbox-tts-api
- 152
Open issues
- speech-to-speech
- 121
- chatterbox-tts-api
- 16
Language
- speech-to-speech
- Python
- chatterbox-tts-api
- Python
Adopt for
- speech-to-speech
- speech-to-speech is an open-source Python package geared towards building localized voice agents via real-time and pre-recorded audio processing.
- 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
- speech-to-speech
- -
- chatterbox-tts-api
- -
Runtime
- speech-to-speech
- -
- chatterbox-tts-api
- -
License
- speech-to-speech
- Apache-2.0
- 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
- speech-to-speech
- Jul 30, 2026
- chatterbox-tts-api
- Dec 23, 2025
Categories
- speech-to-speech
- Speech & Audio
- chatterbox-tts-api
- Speech & Audio
Trust and health
Maintenance
- speech-to-speech
- Very active (96%)
- chatterbox-tts-api
- Slowing (36%)
Days since push
- speech-to-speech
- 0d
- chatterbox-tts-api
- 232d
Open issues (now)
- speech-to-speech
- 121
- chatterbox-tts-api
- 16
Owner type
- speech-to-speech
- Organization
- chatterbox-tts-api
- User
Full report
- speech-to-speech
- Trust report
- chatterbox-tts-api
- Trust report
Shared compatibility
- Python · speech-to-speech: Python runtime · chatterbox-tts-api: Python runtime
Choose speech-to-speech if…
- License: speech-to-speech is Apache-2.0, chatterbox-tts-api is AGPL-3.0.
- Pricing: Free and open-source software under the Apache-2.0 license, with possible premium services based on usage or special features not covered in this repository..
- Requirements: Min 4 GB RAM; Requires Docker; Docker setup may require additional resources and the installation of the NVIDIA Container Toolkit for non-standard setups..
- Tags unique to speech-to-speech: assistant, language-model, machine-learning, python.
- speech-to-speech ships Docker support for self-hosted deployment.
- When you need to leverage open-source components for real-time speech processing in your projects, as speech-to-speech provides an integrated solution with Parakeet TDT for STT.
When NOT to use speech-to-speech
- When the need arises for a voice agent solution that exclusively utilizes proprietary models or services, as speech-to-speech depends fully on open-source components.
- For projects aiming to run exclusively under macOS without cross-platform capabilities, despite automatic dependency resolution between different platforms.
Choose chatterbox-tts-api if…
- License: chatterbox-tts-api is AGPL-3.0, speech-to-speech is Apache-2.0.
- Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment..
- Tags unique to chatterbox-tts-api: chatgpt, chatterbox, cuda, docker.
- 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 (huggingface/speech-to-speech) · observed Jul 30, 2026
- GitHub forks (huggingface/speech-to-speech) · observed Jul 30, 2026
- Last push (huggingface/speech-to-speech) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 16, 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: speech-to-speech 8.2k · chatterbox-tts-api 666 (synced Jul 30, 2026).
Common questions
- What is the difference between speech-to-speech and chatterbox-tts-api?
- speech-to-speech: Build local voice agents with open-source models. 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 speech-to-speech over chatterbox-tts-api?
- Choose speech-to-speech over chatterbox-tts-api when License: speech-to-speech is Apache-2.0, chatterbox-tts-api is AGPL-3.0; Pricing: Free and open-source software under the Apache-2.0 license, with possible premium services based on usage or special features not covered in this repository.; Requirements: Min 4 GB RAM; Requires Docker; Docker setup may require additional resources and the installation of the NVIDIA Container Toolkit for non-standard setups.; Tags unique to speech-to-speech: assistant, language-model, machine-learning, python; speech-to-speech ships Docker support for self-hosted deployment; When you need to leverage open-source components for real-time speech processing in your projects, as speech-to-speech provides an integrated solution with Parakeet TDT for STT.
- When should I choose chatterbox-tts-api over speech-to-speech?
- Choose chatterbox-tts-api over speech-to-speech when License: chatterbox-tts-api is AGPL-3.0, speech-to-speech is Apache-2.0; Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.; Tags unique to chatterbox-tts-api: chatgpt, chatterbox, cuda, docker; 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 speech-to-speech?
- When the need arises for a voice agent solution that exclusively utilizes proprietary models or services, as speech-to-speech depends fully on open-source components. For projects aiming to run exclusively under macOS without cross-platform capabilities, despite automatic dependency resolution between different platforms.
- 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 speech-to-speech or chatterbox-tts-api more popular on GitHub?
- speech-to-speech has more GitHub stars (8,219 vs 666). Stars measure visibility, not whether either tool fits your constraints.
- Are speech-to-speech and chatterbox-tts-api open source?
- Yes - both are open-source projects on GitHub (speech-to-speech: Apache-2.0, chatterbox-tts-api: AGPL-3.0).
- Where can I find alternatives to speech-to-speech or chatterbox-tts-api?
- GraphCanon lists graph-backed alternatives at speech-to-speech alternatives and chatterbox-tts-api alternatives (speech-to-speech 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, speech-to-speech or chatterbox-tts-api?
- speech-to-speech: Very active. 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 speech-to-speech and chatterbox-tts-api?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: speech-to-speech trust report; chatterbox-tts-api trust report.