Built for one primary face track
Use this tool when the video has one main person to replace. If the clip contains several people who need separate replacements, use Multi Video Face Swap so each face track can be mapped intentionally.
استبدل وجهًا رئيسيًا في فيديو مصدر بصورة شخصية مستهدفة.
ارفع الفيديو الأصلي الذي يحتوي على الوجه المراد استبداله.
ارفع صورة شخصية واضحة لوضعها في الوسائط الأصلية.
التكلفة المقدرة
تعذر قراءة المدة
مدة الفيديو
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Single Video Face Swap is an AI video tool for replacing one main visible face in a source video with a replacement portrait while keeping the original clip's movement, framing, background, and timing.
Use this tool when the video has one main person to replace. If the clip contains several people who need separate replacements, use Multi Video Face Swap so each face track can be mapped intentionally.
The uploaded video controls the motion, camera framing, body pose, outfit, lighting changes, and background. The replacement portrait provides the face identity to blend across the clip.
Use video face swap for your own clips, approved portraits, internal mockups, character concepts, or private creative drafts where the people represented have permission to be used.
This page-specific demo shows the input and output logic for single video face swap: the source clip provides motion, outfit, body movement, camera framing, and scene context; the replacement portrait provides only the new face identity.
| Source video | Replacement face | Output video |
|---|---|---|
The source clip provides the body, motion, mirror framing, outfit, background, and timing. | ![]() The replacement face image provides the face identity to blend into the source clip. | The generated video keeps the source clip's motion and scene while replacing the main visible face. |
Single Video Face Swap does not need a prompt. The source video supplies the moving scene, and the replacement portrait supplies the face identity.
| Upload | What it provides | Before you generate |
|---|---|---|
Source video | The motion, face track, body pose, camera movement, outfit, background, and lighting that should remain in the final clip. | Use one main visible face. Avoid clips where the person turns away for long stretches, leaves frame, is heavily blurred, or is hidden behind hair, hands, masks, or harsh shadows. |
Replacement portrait | The new face identity that should be blended onto the main person in the video. | Use a clear single-face image with open eyes, stable lighting, and an angle close to the face in the video. Avoid screenshots, group photos, sunglasses, masks, and heavy filters. |
Final video | A generated clip that keeps the source video's movement and scene while replacing the main visible face. | Review several moments, not just the first frame. Check eyes, mouth movement, jawline, face edges, skin tone, and whether the edit is consent-based before sharing. |
Use this workflow when the task is one source clip, one main person, and one replacement portrait. The result should still feel like the original video.
| Scenario | Why this tool fits | Recommended input | Boundary |
|---|---|---|---|
Short social video draft | Replace the face in a simple talking, reaction, or lifestyle clip while keeping the same movement and framing. | A short clip with one visible person and a clear replacement portrait with a similar head angle. | Do not present the result as real footage of someone without clear context and permission. |
Creator avatar or persona test | Preview how an approved face looks in a recorded gesture, outfit, or camera setup before making more clips. | Use clips with steady lighting and limited face occlusion. Keep the replacement portrait neutral and sharp. | Use only your own likeness, licensed assets, or people who agreed to the edit. |
Ad or campaign mockup | Create internal video concept drafts without reshooting the same motion, background, or prop setup. | Use source videos you can legally edit and portraits cleared for the campaign context. | Review rights and consent before using the result publicly or commercially. |
Event and party edit | Make a consent-based birthday, wedding guest, holiday, or party clip where one person is intentionally swapped. | Choose clips with a large enough face, stable camera movement, and no long periods of profile-only motion. | Avoid embarrassing, sensitive, or misleading contexts. |
Character style preview | Test a fictional or authorized character-like face in a short motion clip before moving into a more complex video workflow. | Use non-infringing, authorized, or original portraits rather than specific public figures or protected characters. | Treat it as style exploration, not a promise to copy a real person or specific IP. |
Workflow check before multi-face editing | Confirm whether a clip's lighting, motion, and face visibility are good enough before trying a larger group-video task. | Start with the clearest single-person segment, then move to Multi Video Face Swap if multiple people need separate control. | Switch tools when the clip has several faces that need targeted mapping. |
The workspace uses two uploads: the source video that contains the face to replace, and the replacement portrait that provides the new face.
Choose the clip that should keep its movement, camera framing, background, body pose, and timing.
Use a clear image with one visible face. Matching angle and lighting usually matters more than adding extra instructions.
After the video duration is read, the workspace shows the estimated cost before generation.
Create the task, then inspect multiple points in the output video. Re-upload clearer inputs if the face drifts, softens, or mismatches the lighting.
Video face swap quality depends on the source clip's face visibility over time and the replacement portrait's match to that motion.
| Input | Works best | Avoid |
|---|---|---|
Source video | One main face, medium or close framing, steady lighting, enough resolution, and a face that remains visible through most of the clip. | Tiny faces, fast head turns, heavy motion blur, dark footage, strong compression, long occlusions, and multiple people competing for attention. |
Replacement portrait | A single sharp portrait with open eyes, natural expression, similar head angle, and lighting direction close to the video. | Screenshots, low-resolution crops, sunglasses, masks, extreme expressions, beauty filters, group portraits, or portraits lit from the opposite side. |
Length and movement | Short, focused clips with simple camera motion are easier to inspect and improve. | Very long clips, rapid cuts, extreme camera shake, faces entering and leaving frame repeatedly, or sequences where the face is rarely visible. |
Final review | Scrub the output at the beginning, middle, and end. Check mouth area, eye alignment, jawline, hairline, and lighting consistency. | Sharing after checking only a thumbnail, using edits without consent, or publishing results in misleading or sensitive contexts. |
Most weak video results come from face visibility, motion, or portrait mismatch. Change one input at a time so you can see what improved the next generation.
| Problem | Likely cause | Try this next |
|---|---|---|
The face drifts or changes across frames | The source face may be small, blurred, covered, turning too far, or leaving the frame. | Use a shorter, clearer segment where the face remains visible. Avoid clips with fast head turns or repeated occlusion. |
Skin tone or lighting feels inconsistent | The portrait and video are lit from different directions, or the video has strong changing light. | Use a replacement portrait with lighting closer to the clip, or choose a source video with more even light. |
Mouth, eyes, or jawline look soft | The portrait may be low resolution, filtered, over-compressed, or too different in angle from the video. | Upload a sharper original portrait with a similar expression and head angle. Avoid screenshots and heavy filters. |
The wrong person appears to be affected | The clip may include multiple visible faces, which makes a single-face workflow a poor fit. | Crop or choose a clip focused on one main person, or switch to Multi Video Face Swap for face-track mapping. |
The result is too expensive to iterate | Longer videos require more processing than short test clips. | Test with a short segment first. Once the inputs look good, use the same portrait and source style for the longer version. |
Single Video Face Swap is intentionally focused: one video, one main face, one replacement portrait.
| Your task | Better choice | Why |
|---|---|---|
The clip has several people and you need separate replacements | Multi Video Face Swap | It detects face tracks in the video and lets you map different replacement portraits to different people. |
You only need one still-image edit | Single Image Face Swap | A still-image workflow is faster to prepare when the source media is a photo rather than a video. |
You want to change the whole scene, clothing, camera, or style | Image to Video AI or Image to Image AI | Face swap keeps the source video as the base. Use generation or editing workflows when the broader scene should change. |
You do not have permission to use a real person's likeness | Do not generate or share the swap | Video face swap should be consent-based and should not be used for impersonation, harassment, deception, or sensitive contexts. |
Common questions about using PopcornAI to replace one face in a video.
You can read the guide and prepare your video before signing in. Uploading and generating a face swap task requires signing in so PopcornAI can manage uploads, credits, and generation history.
Single Video Face Swap is for one main face in a clip. Multi Video Face Swap is for clips with multiple visible people where you need to detect face tracks and choose replacements separately.
Use one video file for the source clip and one image file for the replacement face. The current video uploader accepts one video up to 200MB, and the image uploader accepts image files up to 20MB.
The source video remains the base. The tool is intended to replace the main visible face while preserving the clip's motion, body pose, timing, outfit, background, and camera framing as much as the input allows.
Use a sharp single-face portrait with open eyes, natural expression, and lighting similar to the source video. Avoid screenshots, group portraits, masks, sunglasses, heavy filters, and portraits with a very different head angle.
The workspace shows the estimated cost after the video duration is read and before you generate. Short test clips are useful when you want to check input quality before processing a longer video.
Common causes include fast motion, motion blur, face occlusion, changing light, low-resolution uploads, or a replacement portrait that does not match the video's angle. Try a shorter and clearer clip first, then adjust the portrait.
Use Multi Video Face Swap when more than one person appears and you need separate control over which face gets which replacement portrait.
Only use videos, images, and likenesses when you have the right to use them. Do not create face swaps that impersonate someone, mislead viewers, or place a real person into a sensitive context without consent.
Confirm that you have permission to use the source clip and replacement portrait, scrub through the full result for artifacts, and avoid presenting the output as real footage of someone in a misleading or sensitive situation.
Choose the workflow that matches your source media and the number of faces you need to control.
ImageSwap one main face in a still photo when you do not need video motion tracking.
ImageDetect faces in a group photo and upload a replacement portrait for each person you want to change.
VideoDetect face tracks in a video and map different replacement portraits to different people.