Any song,
in any
singer's voice.

AISinging is a cover-song app built around AI vocal replacement. You pick a song — from the in-app library, by pasting a URL, or by uploading your own audio — then pick a voice from the model library or a custom voice you've trained. The AI extracts the lead vocal, renders a new vocal performance in the chosen voice using the original melody and rhythm, and recombines it with the instrumental. The result is a 'cover' where the singer has been swapped but the song stays recognizable. Around this core feature are duet layering, voice effects like autotune and reverb, and studio-quality export.

Most covers render in roughly 30 seconds to 3 minutes from submission to playable audio. The exact wait depends on song length, model selection, server load and whether you're on the free tier or a paid subscription with priority queuing. Be aware that several similar apps in this category have public complaints about render delays stretching far beyond advertised times during peak hours. Stay in the app while a track renders rather than backgrounding it. If a render genuinely fails, support is the right path before reordering.

Realism varies a lot. Stylistically distinctive voices — high pitch, heavy character, distinctive breath patterns — render more convincingly than neutral or genre-blended voices. Pop and hip-hop source material converts more cleanly than dense rock, jazz, or anything with heavy vocal layering in the original. For viral TikTok content where the joke is 'X sings Y,' the slight AI texture often works in your favor. For straight commercial-grade covers you'd release seriously, the result still falls short of a human singer. Run a 15-second preview before committing to a full song.

Yes. AISinging supports custom voice training — upload audio samples of yourself singing or speaking, and the app builds a voice model from them. More clean samples and a wider pitch range improve the result. Once trained, your voice becomes available across all your covers as if it were a library voice. Caveat: most users find that the first version of a custom voice needs additional samples and retraining before it sounds natural — budget a few rounds of refinement rather than expecting one-shot perfection.

Complicated. The underlying song's mechanical and synchronization rights still belong to the songwriter and publisher. TikTok and Instagram have broad music licensing that covers most casual social posts, which is why most AI covers stay up on those platforms. YouTube uses Content ID and may flag or claim revenue to the original rights holders. Cloning a famous singer's voice raises separate publicity and likeness questions that vary by country. For personal, non-commercial social posts of known songs, you're usually fine in practice. For commercial release, paid sync, ad placements, or covers using cloned celebrity voices, get legal advice before publishing.

AISinging uses a freemium model. The free tier lets you preview the core flow and produce a small number of covers per week, usually with a watermark or audio quality cap. Paid plans typically include a weekly subscription around $6-7/week and a yearly plan at a significantly lower effective monthly cost. The yearly plan often unlocks unlimited covers, custom voice training, and priority rendering. A common complaint across this app category is paywalls appearing aggressively in onboarding — read the trial terms carefully, since weekly subscriptions auto-renew at full price after the trial period.

All three apps occupy the same AI cover-generator niche with overlapping feature sets — vocal replacement, voice libraries, custom voice training, social sharing. Differences come down to which voices each library leans toward (celebrity-inspired vs character vs neutral archetypes), how aggressively each handles paywalls, rendering speed under load, and stability of stem export workflows. None of these apps has a clear quality lead over the others in 2026 — they trade leadership with model updates. Try one or two with the free tier before committing to a yearly subscription, since the category churns fast.

Partial. The full mixed cover is exportable as standard MP3 or WAV directly from the app. Pulling out just the AI vocal stem separately depends on the specific export tier in your subscription — some plans give clean vocal stems, others package everything as a single file and require screen recording or external conversion to isolate the new vocal. If stem-level export matters for your workflow, check the pricing page or trial the feature before committing to a long subscription.

AISinging is a consumer mobile app in the broader AI cover-song category, with similar architecture to apps like VocalMe, Coveroke, and Cover AI. The category sits at the edge of music tech and short-form social content. Companies in this space tend to be small studios building rapidly on top of open-source voice cloning models, which means the feature set and quality can shift between updates. Support typically routes through an in-app contact form. As with any newer entrant in a fast-moving AI category, check recent reviews on the App Store before subscribing annually, since the model quality landscape changes monthly.