Comparison
OpenVoice vs awesome-whisper
Verdict
Pick OpenVoice if openVoice is an instant voice cloning tool utilizing an audio foundation model for text-to-speech and zero-shot capabilities; pick awesome-whisper if awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Markdown twin · OpenVoice alternatives · awesome-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | OpenVoice | awesome-whisper |
|---|---|---|
| Maintenance | Dormant (465d since push) As of 4w · github_public_v1 | Slowing (134d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 3w · 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
- OpenVoice
- Instant voice cloning using an audio foundation model
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- OpenVoice
- 37k
- awesome-whisper
- 2.4k
Forks
- OpenVoice
- 4.1k
- awesome-whisper
- 156
Open issues
- OpenVoice
- 307
- awesome-whisper
- 7
Language
- OpenVoice
- Python
- awesome-whisper
- -
Adopt for
- OpenVoice
- OpenVoice is an instant voice cloning tool utilizing an audio foundation model for text-to-speech and zero-shot capabilities.
- awesome-whisper
- awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Persona
- OpenVoice
- -
- awesome-whisper
- -
Runtime
- OpenVoice
- -
- awesome-whisper
- -
License
- OpenVoice
- Available under the MIT License, allowing free use for both commercial and research purposes.
- awesome-whisper
- CC0-1.0
Last pushed
- OpenVoice
- Apr 19, 2025
- awesome-whisper
- Mar 17, 2026
Categories
- OpenVoice
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- OpenVoice
- Dormant (18%)
- awesome-whisper
- Slowing (36%)
Days since push
- OpenVoice
- 465d
- awesome-whisper
- 134d
Open issues (now)
- OpenVoice
- 307
- awesome-whisper
- 7
Owner type
- OpenVoice
- Organization
- awesome-whisper
- User
OSV dependency advisories
- OpenVoice
- Published findings
- awesome-whisper
- No lockfile (source not queried)
Full report
- OpenVoice
- Trust report
- awesome-whisper
- Trust report
Choose OpenVoice if…
- License: OpenVoice is MIT, awesome-whisper is CC0-1.0.
- 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.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, OpenVoice is MIT.
- Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai.
- When seeking curated information on Whisper variants optimized for various platforms and languages
When NOT to use awesome-whisper
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem
- In cases where the focus is on using pre-integrated solutions without the need for model customization
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (sindresorhus/awesome-whisper) · observed Jul 30, 2026
- GitHub forks (sindresorhus/awesome-whisper) · observed Jul 30, 2026
- Last push (sindresorhus/awesome-whisper) · observed Mar 17, 2026
- License file (CC0-1.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: OpenVoice 37k · awesome-whisper 2.4k (synced Jul 29, 2026).
Common questions
- What is the difference between OpenVoice and awesome-whisper?
- OpenVoice: Instant voice cloning using an audio foundation model. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenVoice over awesome-whisper?
- Choose OpenVoice over awesome-whisper when License: OpenVoice is MIT, awesome-whisper is CC0-1.0; 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 choose awesome-whisper over OpenVoice?
- Choose awesome-whisper over OpenVoice when License: awesome-whisper is CC0-1.0, OpenVoice is MIT; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai; When seeking curated information on Whisper variants optimized for various platforms and languages.
- 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.
- When should I avoid awesome-whisper?
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem In cases where the focus is on using pre-integrated solutions without the need for model customization
- Is OpenVoice or awesome-whisper more popular on GitHub?
- OpenVoice has more GitHub stars (37,044 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenVoice and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (OpenVoice: MIT, awesome-whisper: CC0-1.0).
- Where can I find alternatives to OpenVoice or awesome-whisper?
- GraphCanon lists graph-backed alternatives at OpenVoice alternatives and awesome-whisper alternatives (OpenVoice markdown twin, awesome-whisper 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, OpenVoice or awesome-whisper?
- OpenVoice: Dormant. awesome-whisper: 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 OpenVoice and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenVoice trust report; awesome-whisper trust report.