Comparison
AudioGPT vs OpenVoice
Verdict
Pick AudioGPT if audioGPT is a Python-based tool for generating and understanding various audio forms including speech, music, sound effects, and talking head animations using pre-trained models; pick OpenVoice if openVoice is an instant voice cloning tool utilizing an audio foundation model for text-to-speech and zero-shot capabilities.
Markdown twin · AudioGPT alternatives · OpenVoice alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | AudioGPT | OpenVoice |
|---|---|---|
| Maintenance | Dormant (769d since push) As of 1w · github_public_v1 | Dormant (465d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings 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
- AudioGPT
- AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
- OpenVoice
- Instant voice cloning using an audio foundation model
Stars
- AudioGPT
- 10k
- OpenVoice
- 37k
Forks
- AudioGPT
- 850
- OpenVoice
- 4.1k
Open issues
- AudioGPT
- 53
- OpenVoice
- 307
Language
- AudioGPT
- Python
- OpenVoice
- Python
Adopt for
- AudioGPT
- AudioGPT is a Python-based tool for generating and understanding various audio forms including speech, music, sound effects, and talking head animations using pre-trained models.
- OpenVoice
- OpenVoice is an instant voice cloning tool utilizing an audio foundation model for text-to-speech and zero-shot capabilities.
Persona
- AudioGPT
- -
- OpenVoice
- -
Runtime
- AudioGPT
- -
- OpenVoice
- -
License
- AudioGPT
- Other
- OpenVoice
- Available under the MIT License, allowing free use for both commercial and research purposes.
Last pushed
- AudioGPT
- Jul 6, 2024
- OpenVoice
- Apr 19, 2025
Categories
- AudioGPT
- Speech & Audio
- OpenVoice
- Speech & Audio
Trust and health
Days since push
- AudioGPT
- 769d
- OpenVoice
- 465d
Open issues (now)
- AudioGPT
- 53
- OpenVoice
- 307
Stars delta
- AudioGPT
- +3 (30d)
- OpenVoice
- Unknown
Open issues delta
- AudioGPT
- -1 (30d)
- OpenVoice
- Unknown
Full report
- AudioGPT
- Trust report
- OpenVoice
- Trust report
Choose AudioGPT if…
- License: AudioGPT is Other, OpenVoice is MIT.
- Tags unique to AudioGPT: audio, gpt, music, sound.
- - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech.
When NOT to use AudioGPT
- - Avoid AudioGPT if your audio processing toolkit needs to be exclusively self-contained; some model references are external links requiring separate access.
- - Do not use for projects that absolutely need completed features for all tasks as certain capabilities (speech translation) are still work-in-progress.
Choose OpenVoice if…
- License: OpenVoice is MIT, AudioGPT is Other.
- Pricing: As it is open-source with a permissive MIT license, usage is free. However, users may need to incur costs for compute resources when deploying scalable solutions..
- Tags unique to OpenVoice: text-to-speech, tts, voice-clone, zero-shot-tts.
- When rapid deployment of clone voices is needed without extensive training examples required by other tools due to its zero-shot text-to-speech feature.
When NOT to use OpenVoice
- If your project requires fine-tuning of voice characteristics beyond what the tool's audio foundation model offers, as other tools may be more customizable.
- When dealing with niche linguistic requirements or extremely rare language models that might not be well-supported by OpenVoice’s broader focus.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AIGC-Audio/AudioGPT) · observed Aug 15, 2026
- GitHub forks (AIGC-Audio/AudioGPT) · observed Aug 15, 2026
- Last push (AIGC-Audio/AudioGPT) · observed Jul 6, 2024
- License file (Other) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (myshell-ai/OpenVoice) · observed Jul 29, 2026
- GitHub forks (myshell-ai/OpenVoice) · observed Jul 29, 2026
- Last push (myshell-ai/OpenVoice) · observed Apr 19, 2025
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AudioGPT 10k · OpenVoice 37k (synced Aug 15, 2026).
Common questions
- What is the difference between AudioGPT and OpenVoice?
- AudioGPT: AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. OpenVoice: Instant voice cloning using an audio foundation model. See the comparison table for live GitHub stats and shared categories.
- When should I choose AudioGPT over OpenVoice?
- Choose AudioGPT over OpenVoice when License: AudioGPT is Other, OpenVoice is MIT; Tags unique to AudioGPT: audio, gpt, music, sound; - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech.
- When should I choose OpenVoice over AudioGPT?
- Choose OpenVoice over AudioGPT when License: OpenVoice is MIT, AudioGPT is Other; Pricing: As it is open-source with a permissive MIT license, usage is free. However, users may need to incur costs for compute resources when deploying scalable solutions.; Tags unique to OpenVoice: text-to-speech, tts, voice-clone, zero-shot-tts; When rapid deployment of clone voices is needed without extensive training examples required by other tools due to its zero-shot text-to-speech feature.
- When should I avoid AudioGPT?
- - Avoid AudioGPT if your audio processing toolkit needs to be exclusively self-contained; some model references are external links requiring separate access. - Do not use for projects that absolutely need completed features for all tasks as certain capabilities (speech translation) are still work-in-progress.
- When should I avoid OpenVoice?
- If your project requires fine-tuning of voice characteristics beyond what the tool's audio foundation model offers, as other tools may be more customizable. When dealing with niche linguistic requirements or extremely rare language models that might not be well-supported by OpenVoice’s broader focus.
- Is AudioGPT or OpenVoice more popular on GitHub?
- OpenVoice has more GitHub stars (37,044 vs 10,172). Stars measure visibility, not whether either tool fits your constraints.
- Are AudioGPT and OpenVoice open source?
- Yes - both are open-source projects on GitHub (AudioGPT: Other, OpenVoice: MIT).
- Where can I find alternatives to AudioGPT or OpenVoice?
- GraphCanon lists graph-backed alternatives at AudioGPT alternatives and OpenVoice alternatives (AudioGPT markdown twin, OpenVoice 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, AudioGPT or OpenVoice?
- AudioGPT: Dormant. OpenVoice: Dormant. 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 AudioGPT and OpenVoice?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AudioGPT trust report; OpenVoice trust report.