The verdict
AI Angels is a promising but still-maturing AI companion app, and it's easy to see where it's headed. The image generation is genuinely good — pictures come out clean and usable — and it's one of the few companion apps with real voice calling, which works well in practice. The interface is polished and the platform is clearly under active development. Where it falls short today is depth and reliability: unlike rivals that give each character a written backstory and personality, here the characters are mostly a face and little else, so they can feel interchangeable. Video is the weakest link — clips are choppy and outright video requests failed more often than not for us. Getting most characters to explicit content also takes a lot of coaxing rather than happening naturally. Pricing is a flat ~$15/mo marketed as unlimited, though in practice the chat volume is capped. At this stage a 7.6 feels right: a solid, fair-value app with clear room to grow — one to watch as it fills in.
AI Angels is a fair-value pick if voice calls and clean images matter most and you don't mind a young platform still finding its feet. Want deeper characters and stronger video in one app? See Candy AI.
Pros
- Clean, reliable AI image generation
- Real voice calls — a rarity among companion apps
- Polished interface, under active development
Cons
- Video is choppy and video requests often fail
- Characters lack written backstory or personality
- Most characters are slow to reach explicit content
AI Angels FAQ
Is AI Angels free? You get a limited batch of free credits to try images, short videos and voice calling; ongoing use needs the paid plan at roughly $15/mo.
Does AI Angels allow NSFW? Yes — it generates uncensored images and chat of fictional characters, though with many characters it takes a while to warm up to explicit content.
Does AI Angels have voice and video? Both, but they're uneven: voice calling works well, while video is still rough — clips can be choppy and video requests sometimes fail.
Scored on the public six-point method, assessed against documented features, pricing and real user reports (plus hands-on use where we have account access) · last updated September 2026.