Deepfake Software
Deepfake software without the install: the full FaceFusion pipeline — thirteen swap models, pixel boost to 1024px, photo and video — running on our GPUs and delivered to your browser tab.
- A clear, front-facing photo of one person
- Logos, landscapes and text screenshots will not work
Search for deepfake software and most of what you find is a desktop program: a multi-gigabyte download, a CUDA-capable graphics card as an entry requirement, a Python environment to assemble, and a first weekend spent debugging driver versions instead of rendering anything. The software itself — DeepFaceLab, FaceFusion, the various forks — is genuinely good. The delivery model is the problem, because it puts a hardware and sysadmin tax in front of a creative task.
This page is the other delivery model: the same class of deepfake software, run as an online service. The engine is FaceFusion 3.6.1 — the most actively developed open-source face swap framework — but it executes on our GPUs, not yours. You upload a photo or a clip up to 100 MB, pick the face to map in, and the deepfake software does detection, alignment, swapping, occlusion masking and enhancement server-side, then hands the finished render back to the tab you started in. Nothing installs, nothing compiles, and a laptop with integrated graphics does exactly as well as a workstation.
The trade you are making is control of the metal for speed to first render. A desktop deepfake program gives you unlimited local runs once you own the hardware; online deepfake software gives you a working render in about a minute from a cold start, on any machine, metered in credits. An image job costs fifteen credits, a video job twenty, and every new account gets twenty credits once at signup — so you can judge the output quality of this deepfake software on your own footage before paying anything.
What This Deepfake Software Ships With
A full desktop-class engine, zero setup
The pipeline under this deepfake software is FaceFusion 3.6.1 — the same framework people spend a weekend installing locally. Thirteen swap models including Inswapper, SimSwap, Ghost, HyperSwap, BlendSwap, UniFace and HiFiFace are pre-loaded on our workers, so the model zoo a desktop program makes you download gigabyte by gigabyte is already warm when your job arrives.
Pixel boost to 1024×1024
Most swap models are trained at 128 or 256 pixels, which is why budget deepfake software goes soft the moment a face fills the frame. This engine rebuilds the swapped region at up to 1024×1024 before compositing, so a close-up keeps pores and skin texture instead of dissolving into a smooth mask.
Photo and video in one deepfake tool
Stills up to 10 MB and video up to 100 MB run through the same deepfake software, with per-frame face tracking so the swap holds steady when the head turns. A video job gets fifteen minutes of processing wall clock, which covers most short-form footage at full frame rate.
Enhancers included, not sold separately
CodeFormer, GFPGAN and GPEN restore facial detail after the swap; Real-ESRGAN upscales the whole frame at 2×, 4× or 8×. In a desktop workflow those are extra models to fetch and chain by hand — here they are toggles inside the same deepfake software, applied in one server-side pass.
Detection and occlusion control from the pro toolbox
RetinaFace, SCRFD, YOLO-Face and YuNet are all selectable detectors, with rotation angles for sideways footage and XSeg-style masks for hands, microphones or hair crossing the face. Multi-face frames are handled by selector order and gender filters — the controls a serious deepfake program exposes, without the config files.
How to Use the Deepfake Software
Upload the target
Drop in the photo or clip you want the face to land in — up to 10 MB for an image, 100 MB for video. The deepfake software scans the frame and locates every face before anything else happens.
Add the source face
Upload one reference image of the face you want mapped in. A front-lit, straight-on photo gives the deepfake software the most facial geometry to build the identity embedding from.
Render and download
Start the job. A photo comes back in well under a minute, a clip in proportion to its length, and the deepfake software returns the file at the resolution you supplied.
That is the entire flow — the part a desktop program makes you earn with an installation weekend. Model choice, pixel boost, enhancers and occlusion masks all live in the deepfake software's advanced panel, and all of them are optional.
Who Reaches for Online Deepfake Software
Deepfake software is a capability, not a purpose. These are the jobs that actually come through the queue, and every one of them stays inside the consent rules further down this page.
Creators without a render rig
Most people making short-form video edit on a laptop that would choke on a desktop deepfake program. Online deepfake software moves the GPU problem to our side of the wire, so the machine you script on is also the machine you render from.
Meme and reaction edits on a deadline
A trending format has a shelf life of days. A deepfake tool that renders in a minute from any browser beats a program you would still be installing when the joke expires.
Previs and casting boards
Directors drop a rough render into a deck to show what a role reads like with a specific face in it. Deepfake software output at 1024px is comfortably good enough to make that judgement from, without booking a day of an editor's time.
Teams that cannot install anything
On a locked-down corporate or school machine, desktop deepfake software is a non-starter — no admin rights, no CUDA, no 30 GB of model weights. A browser tab passes IT policy where an installer never will.
Detection research and media literacy
Journalists, trust-and-safety teams and students need to generate artefacts before they can learn to spot them. An hour reading where this deepfake software breaks — hairlines, teeth, occlusion seams — teaches more than a week of papers.
Online Deepfake Software vs Desktop Programs
What a desktop deepfake program really costs
The sticker price of open-source deepfake software is zero, which is the most misleading number in this space. The real bill starts with hardware: a swap pipeline wants a modern NVIDIA card with 8 GB of VRAM or more, and training-based tools like DeepFaceLab want far more than that plus days of compute per model. Then comes the environment — Python versions, CUDA and cuDNN releases, onnxruntime builds — a stack where one mismatched version silently drops you to CPU and turns a one-minute render into a two-hour one.
None of that work produces a better image; it reproduces, on your desk, the exact pipeline this deepfake software already runs on tuned hardware. The desktop route earns its keep in two cases: unlimited-volume batch work where per-job pricing stops making sense, and research that modifies the pipeline itself. For everyone else, the install is a toll booth in front of the actual task.
What the online version of the software actually does
When you submit a job, the deepfake software runs the same stages a local FaceFusion install would. Detection first: RetinaFace or YOLO-Face scans the frame and boxes every face, with rotation handling for sideways footage. Landmarking places dozens of points on eyes, nose, mouth and jaw, the aligner warps the face into a canonical square, and the swapper rebuilds it carrying your source identity at whatever pixel-boost resolution you set — up to 1024×1024.
The result is warped back into the frame, feathered against an occlusion mask so hands and hair stay in front of the new face, then passed to the enhancers you toggled. The only difference from the desktop deepfake program is where the silicon sits: the queue, the GPU, the model weights and the failure handling are ours to maintain. When output looks wrong, the debugging chain is the same too — work backwards from enhancement to swap to detection.
How to judge the best deepfake software for your job
Ignore the marketing and test four things. Swap resolution: anything that only composites at 128 or 256 pixels will look soft on a close-up, so look for a boost pass to 512 or 1024. Model count: a single-model deepfake tool has no answer when its one architecture fails on your shot, while this deepfake software lets you re-render the same job across thirteen models from a dropdown. Video support: many web tools are photo-only with a video label on the pricing page — check the actual clip length and frame-rate handling.
The fourth test is the honest one: run your own footage through the free tier. The best deepfake software for a portrait retoucher is not the best for someone cutting vertical video, and no comparison table substitutes for seeing your own shot rendered. Twenty signup credits here buy exactly that test — one full-resolution image or video job on the same models paying customers use.
Getting a Cleaner Render
Most disappointing output traces back to input, not to the engine. No deepfake software can recover detail the camera never captured, so upscaling a thumbnail before uploading just hands the detector more blurry pixels. Start from the largest original you hold; if all you have is a screenshot, expect a softer render and plan the crop around it.
The second recurring problem is mismatch between source and target: head angle, lighting direction and expression. A neutral source face dropped onto a wide laugh forces the model to invent geometry it does not have. Keep the two within about thirty degrees of pose and in the same expressive family and the deepfake software needs far less cleanup afterwards.
- Upload the largest original you have, never a re-saved screenshot
- Keep the face large in frame — a distant subject gives the detector nothing
- Match pixel boost to face size instead of always maximising it
- Enable the occlusion mask when hands, hair or a mic cross the face
- Try a second swap model before blaming the software for a soft render
- Check hairline, eyes, teeth and neck seam before you publish
Consent and Responsible Use
Every render from this deepfake software is bound by one hard rule: no sexual or pornographic content, ever. It is filtered at the model level, enforced on the account, and no plan, setting or advanced option changes it — accounts that try lose access permanently. This is a real difference from self-hosted deepfake programs, which have no guardrails at all, and it is a line the product is built around rather than a disclaimer at the foot of the page.
The second rule is about presentation. Output shared as an obvious edit is satire, commentary or fan work, and all three are legitimate. The same file passed off as authentic footage is deception, and increasingly a crime: several countries and a majority of US states now prosecute non-consensual synthetic media, and disclosure laws for political and commercial use are spreading. Label your work, get a likeness release before commercial use, and never publish a render of a real person doing something they never did.
Deepfake Software FAQ
Is this deepfake software free to use?
There is a free tier. Every new account gets 20 credits once, at signup, which covers one image job at 15 credits or one video job at 20 — full resolution, on the same models paying customers use. There is no daily refill. Paid plans buy throughput, longer clips, priority processing and removal of the aideepfake.io mark, but the deepfake software itself is open to everyone.
Do I need to download or install anything?
No. This deepfake software runs entirely online: uploads go straight to storage, the job executes on our GPUs, and the render comes back to your browser tab. There is no installer, no Python environment, no CUDA setup and no model weights to download — the parts that make desktop deepfake programs painful simply do not exist here.
How does it compare to desktop deepfake programs like DeepFaceLab or FaceFusion?
The engine is FaceFusion 3.6.1 itself, so per-frame quality matches a well-configured local install of the same deepfake software. What differs is everything around the render: no hardware requirement, no environment to maintain, and jobs are metered in credits instead of being free-but-slow on your own card. DeepFaceLab-style training workflows, which take days per identity, are the one thing an online service deliberately does not replicate.
What files can I upload?
Images up to 10 MB and video up to 100 MB, in the usual web formats. The deepfake software takes a still or a clip as the target and a still image as the source face; the two need not match in resolution or aspect ratio.
What resolution does the swap run at?
Up to 1024×1024 with pixel boost enabled, and the composited output keeps whatever resolution you uploaded. Deepfake software that only swaps at 128 pixels always looks soft on a close-up — the boost pass is what avoids it.
What happens to the files I upload?
They are used to produce your render and nothing else — never added to training data, never resold, never published to any gallery. Whatever you put into the deepfake software stays yours.
Can I make explicit content with this deepfake software?
No. Sexual deepfake content is banned outright, filtered at the model level, and grounds for permanent loss of access. No plan, setting or advanced option unlocks it, and reports are acted on.
Related Tools
The same deepfake software engine, entered from a different starting point.
Open the Deepfake Software
Skip the download, the drivers and the weekend of setup — upload a photo or a clip and let the deepfake software hand back a render in about a minute.
Start rendering