Face Swap

Swap one source face into a photo or video in one focused app

Source face + target photo workflowSource face + target video workflow1-credit image mode and 50-credit video modeUnified naming across both tabs
Fast face swap
Upload one source face and one target photo, then generate a low-cost face swap result for quick iterations.
Source face
Upload the face you want to transfer.

Drag and drop an image here

Or tap anywhere in this card to upload. PNG, JPG and WEBP are supported.

Single imageMin 1Max 1Max 5MBMin 256px / Max 4096px

PNG, JPG, WEBP

Target photo
Upload the image that will receive the swapped face.

Drag and drop an image here

Or tap anywhere in this card to upload. PNG, JPG and WEBP are supported.

Single imageMin 1Max 1Max 5MBMin 256px / Max 4096px

PNG, JPG, WEBP

Swapped result
Generate, review, and download the final face-swapped image.

Upload both images, then run face swap to preview the final result here.

1

What the AI Face Swap app is for

Use this AI face swap workflow when the main job is identity transfer: put one source face into a target photo or a target video without rebuilding the media from scratch.

Why users pick this AI face swap workflow

Image and video face swap in one focused app

This app keeps one mental model across both modalities: upload a source face, upload a target asset, generate, then download. You switch by modality instead of learning different provider naming rules.

  • Image mode for photo face swap
  • Video mode for clip face swap
  • One consistent source-face workflow

Normalized UI wording over mismatched provider schemas

Some providers label image and video inputs in the opposite direction. This app removes that confusion by always presenting Source Face and Target Photo or Target Video at the UI layer.

  • Source face is always the identity image
  • Target asset is always the receiving photo or video
  • Internal mapping happens in the generator layer

Dedicated face swap workflows instead of generic prompts

Face swap is not a prompt-first job. The app uses dedicated upload-first surfaces for image and video swap so the controls stay aligned with the real schema and output shape.

  • No prompt setup required
  • Download-ready image and video results
  • 1-credit image mode and 50-credit video mode

AI Face Swap app use cases

This workflow fits jobs where identity transfer is the main task and you want the shortest route from upload to result across both photo and video work.

Portrait and character mockups

Place one face into a portrait, profile image, or visual concept when you need quick identity transfer for image work.

Short-form social video variations

Swap the face inside an existing short video when you need a fast variation for reels, social clips, or lightweight edits.

Template-based personalization workflows

Use prepared photos or clips as the target asset when the task is identity transfer rather than full creative generation.

How to use the AI Face Swap app

Choose the modality, upload a source face, upload the target asset, then download the swapped result in one place.

Choose image or video mode

Start by deciding whether the target asset is a photo or a video. The workload switches to the matching dedicated face swap flow.

Upload the source face and target asset

Upload one source face image, then upload either one target photo or one target video depending on the active tab.

Review and download the result

Check the swapped output in the result panel, then download the final image or video directly from the app.

How to get better face swap results

The cleanest face swap results usually start with a source face image that is sharp, front-facing, and well lit. A strong target photo or target video with readable facial detail also matters, because the swap works best when the original face is visible and unobstructed.

Choose photo mode when you need a fast static result for mockups, profile concepts, or campaign visuals. Choose video mode when the target is a short clip and the goal is identity transfer inside motion rather than generating a brand-new video from prompts.

When to stay here versus move into AI Image or AI Video

Stay in AI Face Swap when the main task is direct identity transfer. It is the shortest path when you already know the job is replacing a face inside a prepared photo or clip instead of generating new media from prompts.

Move into AI Image or AI Video when the swapped result needs broader editing, compositing, or additional generation steps. In that structure, Face Swap stays the focused transfer step and the broader app becomes the follow-up workspace.

FAQs

AI Face Swap FAQs

Helpful answers about the input requirements, result shape, and current credit cost for this app.




Related Studio workflows

Open related workflows when face swap is one step inside a larger avatar, anime, image-editing, or video workflow.

Start with one source face and one target asset now

Open the workload for a focused image or video face swap flow, or move into the broader AI Image or AI Video workspace if you need more editing after the swap is complete.

Start for free Advanced models Commercial license