xinxin-song
xinxin-song: A focused, self-hosted pipeline for technical users who want control over cover production. Ranked #47 of 56 in AI Song Cover Generators by our editors (3.6/10); pricing: Open source; best for technical users wanting a lightweight local pipeline.
At a glance
- Editor score3.6 / 10
- PricingOpen source
- Best forTechnical users wanting a lightweight local pipeline
- Paid fromFree
- Custom voice creationNo
- Facts checked22 Sep 2026

Where it wins
- Combines Demucs separation and RVC singing-voice conversion
- Offers pitch, F0, denoising, filtering, and mixing controls
- Accepts separate vocal and instrumental inputs with WAV or MP3 output
Where it doesn't
- Requires local Python, RVC models, a trained voice model, and FFmpeg
- Runs from the command line on Windows or a self-hosted setup
- Voice-model training is handled separately through RVC WebUI
Our verdict on xinxin-song
xinxin-song is a locally deployed AI song-cover pipeline for solo creators and small teams that want to convert an original song into a version sung with a specified voice. It combines Demucs-based vocal and instrumental separation with RVC-based singing-voice conversion. Users can also provide external vocal and instrumental tracks, making the workflow suitable for projects that already have separated or replacement audio. The product is command-line software rather than a hosted service, with WAV and MP3 export.
Its strongest area is control over the audio pipeline. Pitch shifting works by semitone, while configurable F0 algorithms include RMVPE, Harvest, Crepe, and PM. Extracted vocals can receive denoising and high-pass filtering before final mixing, which includes loudness and clipping protection. Optional cleanup of intermediate files keeps the local workflow more manageable. These controls make xinxin-song a fit for technically confident users who want to adjust conversion and mixing rather than work through a simplified web interface.
The trade-off is setup effort and ecosystem scope. A local Python environment, RVC models, a trained voice model, and FFmpeg are required, and voice-model training takes place separately through RVC WebUI. The published deployment options center on Windows and self-hosting, with documentation as the support channel. xinxin-song should suit users who value local processing, independent audio inputs, and configurable conversion settings. It is less suitable for buyers seeking browser-based access, built-in voice creation, broad platform coverage, or an integrated voice-model training workflow.
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xinxin-song pricing
xinxin-song fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Vocal upload | Yes |
| Instrumental upload | Yes |
| Custom voice creation | No |
| Max upload length | Not verified |
| Voice library size | Not verified |
| Export formats | WAV, MP3 |
| Commercial use | Not verified |
| Deployment | Self-hosted |
| Platforms | Windows |
| Support | Docs |
| Built for | Solo, Small business (editorial estimate) |
| Pricing | Open source |
| Website | github.com |
| Facts checked | 22 Sep 2026 |
Alternatives to xinxin-song
- FineShare SingifyA flexible web-based cover generator for creators who want broad voice choice.8.9
- HitPaw AI Song CoverA low-cost desktop cover tool with broad inputs, voice controls, and flexible exports.8.8
- Media.io AI Song Cover GeneratorA web-based cover generator with useful audio tools and limited voice selection.8.6
See all xinxin-song alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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