FaceApp is a mobile app for realistic face transformations, aging, gender swap, hairstyle and more, applied with a single tap to a selfie you already have. Picasso IA is a browser-based studio of 488 models covering image, video, audio and 3D, with free credits to start.
FaceApp and Picasso IA are built for different moments, not different tiers of the same job. FaceApp is a mobile app, iOS and Android only, purpose-built around a single narrow task done extremely well: taking a selfie you already have and transforming the face in it, older, younger, a different gender presentation, a new hairstyle, a bigger smile, with a single tap and no prompt to write. Picasso IA is a browser-based studio of 488 models covering image, video, audio and 3D, built around a prompt or a reference image rather than a fixed set of filters, with free credits the moment you sign up.
If what you want is to open an app you already have installed, pick a face effect you already understand because you have seen it go viral before, and get a convincing result on a photo of yourself in seconds, FaceApp is the right tool and nothing about a general-purpose studio replaces that specific convenience. Its focus on faces alone, refined for years on nothing else, is exactly why the results read as natural rather than synthetic. If instead you want to generate a new image from a description, produce a video, a voice track or a 3D mesh, or edit a photo in ways that go beyond a face, a background swap, an object removed, a full scene invented, Picasso IA is built for that instead.
Neither of these is a smaller version of the other; they are different bets on what most people want from an AI tool on a given day. The sections below cover what each side gives away for free, what changes when you pay, how each one works under the hood, what each covers beyond a face, and who should reach for which. Where FaceApp is genuinely the better tool for the job, this page says so plainly rather than burying it under a sales pitch.
Eleven rows, the first seven answered with a yes or a no, the last four needing a phrase instead of a mark because a tick cannot describe them honestly.
| Feature | Picasso IA | FaceApp |
|---|---|---|
| Text-to-image generation from a written prompt | Yes | No |
| One-tap face filters for aging, gender swap and hairstyle | No | Yes |
| Video generation | Yes | No |
| 3D model generation | Yes | No |
| Audio, music and text-to-speech | Yes | No |
| Works without writing a single word of instruction | No | Yes |
| Dedicated background removal and photo upscaling tools | Yes | No |
| Model catalog | 488 curated models, one account | One purpose-built face engine |
| Where it runs | Any modern browser | Native iOS and Android app |
| Learning curve | Pick a model, write a prompt | Tap a filter, see the result |
| Best for | Many formats, many kinds of project | One fast, iconic selfie edit |
The tally: Picasso IA leads on 5 rows out of 11, FaceApp on 2, and 4 come down to what kind of edit you are actually making.
Read that tally as a starting point, not a verdict. The two rows FaceApp wins are not small: a genuinely one-tap workflow with nothing to type, and filters purpose-built for a face rather than a general scene, are things a prompt-driven studio cannot fully replicate. What the table cannot show is depth: FaceApp's realism on its narrow set of face effects comes from years spent refining nothing else, and our win on format breadth spans well past a single face.
A new Picasso IA account starts with free credits that spend on the same 488 models everyone else uses, not a stripped-down demo tier: you can run a frontier image model, a video model or a text-to-speech voice before deciding anything. The interface is available in English, Spanish, Portuguese, French, Arabic and Hindi, and you can browse the community collection and the effects gallery without paying, which shows you what the catalog actually produces.
FaceApp's free side is built around trying its core filters directly on your own photos before you decide whether the app earns a permanent spot on your phone. You install it, grant it a photo, and start applying effects immediately, no account required for the basics, no prompt to learn, no model name to recognize. Some filters and styles sit behind a paywall, and how many stay free versus locked changes over time and by region, so FaceApp's own app listing is the honest source for what is currently included at no cost, not a number we would print here and risk going stale.
The honest split: if you want a studio that covers many formats and grows with you as your projects get more ambitious, Picasso IA's free credits are where that starts. If you want to see what you would look like decades from now, or with a different hairstyle, on a photo you already have, in under a minute, FaceApp's free tier gets you there faster than any prompt-based tool could, because no prompt stands between you and the result.
On Picasso IA, paying buys credits, and credits are the entire economy: every generation shows its cost before you run it, heavier jobs like video cost more than a still image, and plans differ only in how many credits you get. The current numbers live on the pricing page; we keep them there rather than in articles, because plans change and a stale number helps nobody.
On FaceApp, paying unlocks the app's fuller filter library and additional editing tools beyond the free tier, along with an ad-free experience. What specifically sits behind that unlock, and on what terms, is FaceApp's own listing to publish and keep current; app store paywalls shift often enough that quoting specifics here would go stale within a season. What stays true regardless of the details is the shape of the trade: FaceApp's paid tier widens one narrow toolkit, while Picasso IA's is measured per generation across an entire catalog of formats.
The practical way to decide which paid product suits you is to be honest about what you would actually use week to week. If your want is deeper face-editing precision on photos of yourself or people you know, staying inside FaceApp's paid tier is the direct path, since that is the one thing the app was built to do better than anything general-purpose. If your want spans image generation from scratch, video, voice and 3D, credits on a broad catalog map more directly to that kind of week than one app's expanded filter set ever could.
This is where the two products stop resembling each other at all, and where FaceApp earns the most credit, so it is the longest section on this page.
FaceApp does not ask you to describe anything. There is no prompt box, no model picker, no reference image to upload beyond the selfie you are editing. You open the app, pick a photo already on your phone or take a new one, choose a filter from a visual menu, aging, gender swap, hairstyle, smile, and the transformation applies in seconds. That single interaction, tap a filter and watch a face change convincingly, is the entire product, executed with a level of realism that comes from years of a team focused on nothing but faces. The aging filter in particular is widely regarded as one of the most convincing implementations of that narrow effect anywhere, precisely because the model behind it was never asked to do anything else. Skin texture, hairline recession, the way a jaw settles with age, these are hard problems a general-purpose image model has to relearn inside every unrelated prompt, while a face-only model gets to specialize completely and it shows in the output.
That specialization is also FaceApp's boundary. It transforms an existing face in an existing photo; it does not generate a new scene, a new subject, or an image that never had a face in it. Ask it for a landscape, a product photo, a logo, or a character that does not exist yet, and nothing in the app is built to answer that, because answering it was never the goal.
Picasso IA makes the opposite bet, and pays for it with a learning curve FaceApp does not have. Nobody applies a preset filter here; you write what you want or start from a reference image, and 488 curated models stand ready to interpret it. FLUX for photographic realism, Seedream 5 Pro for illustration, nano banana for edits that preserve the original image while changing one detail, Imagen 4 and Recraft v4 for clean design work, Kling and Veo for video, hundreds of others, each vetted, each with a visible credit cost. That range means you can absolutely ask for an aged version of a face, a stylized portrait, a different hairstyle, and get a strong result, but it will never be as fast or as prompt-free as tapping a filter built for exactly that job, and being honest about that is the whole point of a comparison page.
Someone whose entire need is a convincing, one-tap transformation of a selfie belongs on FaceApp, full stop, and no amount of prompt engineering on a general catalog closes that speed gap. Someone who wants to generate images that never existed before, build a consistent character across many scenes the way our guide to consistent AI characters walks through, or work across video, audio and 3D from one account, belongs on Picasso IA, where the trade is a little typing for a much wider range of outcomes.
For a specific category of image editing, transforming a face already present in a photo, FaceApp is genuinely excellent, and its narrow focus is a strength rather than a limitation for that exact job. Beyond faces, its scope stops: it does not generate images from a text prompt, and does not produce landscapes, products, logos or illustrations of anything that is not a face being altered, and that is by design.
Picasso IA covers image generation broadly, portraits included, through models built for realism, illustration and design work, and the catalog can absolutely produce a stylized or aged portrait from a prompt or an uploaded photo, just through a different interaction than a filter tap. Beyond stills, the two products stop overlapping entirely. FaceApp does not generate video, does not generate audio, music or speech, and does not produce 3D content; a single-photo face app was never trying to solve any of those problems. Picasso IA treats all three as first-class formats: multiple video engines including Kling v3 and Veo 3.1 for text-to-video and image-to-video, 464 text-to-speech voices across dozens of languages for narrating videos, and image-to-3D through Hunyuan3D 3.1, which turns a picture into a textured mesh for the workflow in our image to 3D guide.
The honest caveat that favors FaceApp here: because Picasso IA's 488 models are chosen for breadth across formats rather than depth on one narrow effect, no single model in our catalog is tuned as tightly on face aging or gender presentation as an app that has done nothing else for years. That specificity is a genuine strength FaceApp built on purpose, and a curated multi-format catalog trades some of that peak narrow performance for range.
FaceApp's editing tools live entirely inside its face-transformation lane: retouching skin, adjusting a smile, softening or blurring a background behind a subject, adding light makeup, and the aging and gender filters themselves all count as editing in the sense that they modify a photo you already own. What it is not built to do is treat editing as a general toolbox for any image regardless of whether a face is in it: there is no dedicated background remover producing a clean cutout, and no photo upscaler aimed at recovering detail in a low-resolution image, because neither task touches the face-centric problem the app set out to solve.
Picasso IA treats editing as a set of dedicated tools that accept any image, a selfie, a product photo, a scanned document, generated on our platform or not. Upload a photo and remove its background completely for the workflow in our background removal guide, upscale a low resolution image with the tools in our photo upscaler guide, or hand nano banana an instruction like changing a shirt color without touching the face at all. That any-image property matters for work that starts outside a face: a product photo, a landscape, a scanned illustration, none of which FaceApp's toolkit was built to touch.
The trade-off runs the other way for anyone whose editing need is specifically a face: if what you want is a smoother, more convincing skin retouch or an aging effect tuned by years of focus on exactly that, FaceApp's narrower toolkit may outperform a general editor on that one task, because it was never asked to generalize.
Every editing tool on Picasso IA shows its credit cost up front, so testing an upscaler or a background remover on a real client file is a cheap experiment rather than a leap of faith.
Speed on Picasso IA depends on what you are generating: fast image models return in seconds, frontier models take a bit longer, video takes minutes because it is expensive to compute on any platform, and the credit cost shown before you commit tracks that reality. Picasso IA also limits how many generations one account runs at once, keeping the queue fair and stopping a runaway script from draining your credits.
Speed on FaceApp is close to instant for what it does: applying a filter to a single photo is a lightweight, on-device-feeling operation with none of the queueing a hosted multi-format catalog has to manage, because the job is narrow and the model behind it is built for exactly that and nothing else. That responsiveness is a direct product of scope, not a trick either product could simply copy from the other.
Licensing and rights get genuinely careful on both sides, and the risk differs in kind. FaceApp's core use case, transforming a real, identifiable person's face, means the biggest question is not a software license at all but consent: only transform photos of yourself or people who have clearly agreed to it, and never use someone else's transformed face commercially or publicly without that permission, regardless of what any app's terms allow. On Picasso IA, model licenses come from the underlying providers and can differ between models, so check the page for the one your business depends on, and the same resemblance rule applies to any portrait-style output before it ships commercially.
Eight honest reasons, four per side, compressing everything above. If your real alternatives lean toward a broader photo editor or a design suite rather than a narrow face-filter app, the Picsart comparison or the Adobe Firefly comparison may match your decision better than this page does.
Most people end up using both for different jobs rather than replacing one with the other, so treat this as adding a tool rather than abandoning one. Keep FaceApp installed exactly as it is while you try Picasso IA; nothing about testing a browser-based studio requires giving up an app that already does one thing well.
For generating new images, video, audio or 3D across many models, yes, and for a fast, convincing face filter on a selfie you already have, no. If what you actually want is the specific one-tap realism FaceApp built its entire product around, no amount of prompt-driven generation replicates that exact speed and simplicity, and this page will not pretend otherwise. If your need extends beyond a single face into new scenes, other formats or a broader editing toolbox, Picasso IA covers ground FaceApp never set out to cover.
No. FaceApp's filters run entirely inside its own app and are not available on Picasso IA or any other platform. If you want a similar aged or restyled look starting from a photo, Picasso IA's image models can approach it through a prompt and an uploaded reference image, but the result comes from a different kind of model built for a different kind of interaction, not from FaceApp's own filter engine.
Not as a dedicated one-tap filter, no. Picasso IA's image models can follow a prompt asking for an aged or restyled portrait using an uploaded photo as a reference, and the results can be strong, but the workflow is prompt-based rather than a preset filter, and it is not tuned as narrowly on faces as an app built around nothing else. If that exact one-tap effect is what you need, FaceApp remains the more direct route.
Yes, both. The catalog includes multiple video engines, Kling v3 and Veo 3.1 among them, covering text-to-video and image-to-video, and image-to-3D through Hunyuan3D 3.1, which turns a picture into a textured mesh. Video and 3D cost more credits than a still image, and the cost is shown before you run the job. FaceApp does not offer either format.
FaceApp is a native app for iOS and Android specifically, with no official browser version, so a phone is required. Picasso IA runs entirely in any modern browser, on desktop or mobile, with nothing to install, which matters if your work happens on a computer rather than a phone.
We deliberately avoid printing numbers for either product in an article, because prices and what sits behind a paywall change and a stale figure misleads more than an absent one. Picasso IA sells credit-based plans where every generation shows its cost up front; current numbers are on the pricing page. FaceApp's own app store listing is the source for its current subscription terms.
Treat commercial use carefully on either platform, and treat FaceApp's use case with particular care because it transforms real, identifiable faces: never use a transformed photo of someone else commercially without their clear consent, regardless of what an app's terms technically permit. On Picasso IA, licensing comes from each model's provider and can differ between models, so check the specific model page before building a business on it, and review any portrait-style output for resemblance to a real person before publishing it.
That is a question about FaceApp's own data handling and terms, which are FaceApp's to publish and keep current, not ours to characterize on a comparison page for a different product. Read FaceApp's own privacy policy and terms of use before uploading a photo, the same way you would for any app that processes a photo of a real face, and decide based on their current published terms rather than anything summarized secondhand.
No. There is no partnership, no affiliate program and no payment in either direction between Picasso IA and FaceApp. FaceApp's name appears on this page because people comparing a one-tap face filter app against a broader generation studio search for exactly this comparison, and the most useful answer we can give is an honest one rather than a sales pitch dressed as a comparison.
Genuinely, yes. It took one narrow idea, realistic face transformation from a single selfie, and refined it for years until the results became convincing enough to go viral more than once, a rare achievement for any consumer app. Competing with it honestly means admitting that a broad, multi-format catalog will never match FaceApp's peak realism on the one specific thing it was built to do, and does not try to.
Both products reward someone who shows up knowing what they need, and the cheapest way to find out which fits your week is to try each on a real photo or a real idea rather than a hypothetical one. Open the Picasso IA toolkit with an image you want to transform beyond a face, spend the free credits, and if the results earn a place in your workflow, the pricing page is where the plans live.
