Western female model deep swap result Asian female model deep swap result

Free Batch Face Swap Online — 20 Total Inputs

Preview batch face swap free with no sign-up. Sign in to use up to 20 input images across both sides; buy credits once for watermark-free images—no subscription.

6 credits per output 20 images total
  • JPG, PNG, WebP, AVIF or HEIC
  • Up to 20 images
  • 30 MB each, 95 MB in total

Free to start: choose and check your photos without an account. Each generated photo costs 6 credits, and the exact total appears before you submit. See all prices

Trial images show a DeepSwapAI.com and account-email watermark until your first credit purchase.

No photo handy? Open the full workspace

Only upload faces you own or have permission to use.

DeepSwapAI Studio

Choose a swap workflow

Upload, map, preview, and switch between photo, batch, group-photo, video, and GIF workflows in one focused workspace.

Batch Face Swap Multiple Face Swap

Photo workflow

Photo Face Swap

Upload a source photo and a face reference, then replace the identity while keeping the scene.

Waiting for upload

Use exactly one face reference and one or more target photos.

Output

Live preview queue

Select files to build a preview queue.

Controls

Trial image watermark Trial images show DeepSwapAI.com and your complete account email address without masking or shortening. Complete any one-time credit purchase to make future image exports watermark-free; existing trial files do not change. Compare credit packs Read the complete watermark guide

Free local batch manifest

Plan every batch output and credit before upload

Choose a mapping direction and local image files. The browser checks mode counts, declared formats, per-file size, the 20-image total, the 95 MB batch limit, outputs, and exact credits.

Use exactly one face reference and one or more target photos.

Face reference

Choose exactly one identity image.

  • No local files selected

JPEG, PNG, WebP, AVIF, HEIC, or HEIF · 30 MB each · 20 images and 95 MB combined

Target photos

Each target creates one output.

  • No local files selected

Local only: filenames and file sizes stay on this device. This planner uploads no file bytes.

Ready to build a manifest

Choose both sides of the selected batch direction.

References
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Targets
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Total images
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Combined size
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Largest file
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Planned outputs
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Exact credits
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Files to fix
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This planner validates browser-visible filenames, declared types, counts, and sizes only. It does not detect faces, verify identity or consent, judge scene compatibility, or predict output quality. The live workspace remains authoritative before submission.

Real output

One real run of this workflow

Everyone shown is an AI-generated DeepSwapAI demonstration image, not a real person. We show one completed run of this workflow exactly as it came back.

Scene photo 1: Before Scene photo 1: After
Scene photo 2: Before Scene photo 2: After
Scene photo 3: Before Scene photo 3: After

One face photo across three scene photos

One batch run returned one result for each scene photo.

Face photo used

Face photo used · Charged: 18 credits

No customer upload, stock photo or real person was used. Each result comes from one completed run on a paid account (no trial watermark) and is shown without retouching; web copies are resized and re-encoded. One example is not a quality benchmark. See the inputs and run details

Five-step batch workflow

Pilot the batch before scaling the full photo set

Step 1

Choose one representative target

Use the image that best reflects the majority of the set.

Step 2

Choose one difficult target

Include the most important profile, shadow, expression, or occlusion case.

Step 3

Hold the reference constant

Compare target conditions before swapping identity references.

Step 4

Review with one rubric

Use the same identity, scene, and technical checks for both pilot results.

Step 5

Split or scale

Process the full group only when the pilot passes, and move difficult images to a separate group.

Choose batch when the target repeats

Process a photo set without confusing batch and group-photo mapping

Batch face swap creates separate outputs across a set. Use multiple face swap instead when different people must be replaced inside one group photo.

Compare batch and group-photo workflows
01

One identity across many photos

Apply one clear reference face to a set of target photos. Group targets with similar pose and lighting, then test a typical photo before the full batch.

02

Many identities against one target

Create separate versions of one target photo from several source faces. Each source produces its own output; it does not map several people inside one image.

03

Campaign, profile, or archive sets

Keep dimensions and visual conditions consistent, include one difficult target in the pilot, and review every downloaded result with the same acceptance criteria.

04

Several people in one group photo

Switch to multiple face swap when one target contains several people who each need a different reference. That workflow detects and maps the selected faces explicitly.

Verified workflow facts

Know every batch limit before you upload

Choose either batch direction. The workspace calculates the output count and exact credit total before submission.

Two batch modes

One face to many photos Or many source faces to one target photo

Accepted images

JPEG · PNG · WebP AVIF · HEIC · HEIF

Upload limits

20 images total 30 MB each · 95 MB combined

Exact cost

6 credits per output Total shown before submission

Uploads and generated media are removed within 24 hours and are not used to train AI models. Trial images show DeepSwapAI.com and the account’s complete, unmasked email. After any completed credit purchase, future image exports are watermark-free.

Open the batch preparation guide

Worked examples

Batch: Check the math before checkout

These examples use the current production formulas, not an invented average.

Applied ruleBatch: generated outputs × 6 credits.

Number of generated outputsApplied ruleRequired credits
1 1 × 6 6
5 5 × 6 30
12 12 × 6 72

One-time credit packs

Choose the output, not another subscription

Buy credits once and use them across photo, batch, group-photo, video, and GIF workflows. No recurring charge or automatic renewal.

Preview free

Basic

Best first purchase

$9.99

200 credits

≈ $0.30 / processed batch photo

≈ 33 photos across batch jobs

Choose $9.99 starter pack

Standard

Save 29% per credit

$24.99

700 credits

≈ $0.21 / processed batch photo

≈ 116 photos across batch jobs

Get 700 credits

Premium

Save 36% per credit

$79.99

2,500 credits

≈ $0.19 / processed batch photo

≈ 416 photos across batch jobs

Get 2,500 credits
Card, Alipay, and WeChat Pay No auto-renewal · Failed generations are automatically refunded Calculate exact cost Watermark-free options

FAQ

Batch face swap questions

Direct answers about one-to-many and many-to-one modes, image limits, output pricing, and group-photo mapping.

Can I put the same face on multiple photos at once?

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Yes. Choose the one-face-to-many-photos mode, upload one clear face reference, and add the target photo set. Each target creates a separate result.

Can I apply several faces to one target photo?

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Yes. Choose the many-faces-to-one-target mode. Each source face creates a separate version of the target; it does not replace several people inside one group photo.

How many photos can a batch contain and what does it cost?

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A batch accepts up to 20 images total, with a 30 MB limit per image and 95 MB combined. Each generated output costs 6 credits, and trial images show the 100% complete account email until a credit purchase is completed.

Is batch face swap the same as multiple face swap?

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No. Batch face swap creates separate output files across a set. Multiple face swap maps different reference faces to selected people inside one group photo.

Does the batch manifest planner upload my photos?

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No. It reads filenames, declared types, counts, and file sizes in this browser and uploads no selected file bytes. Files are uploaded only if you separately submit them in the generation workspace.

Start your batch face swap

Setup is free. Credits are only used when you generate.

Upload photos

Practical guides

Prepare the input, then review one output before you scale

View all guides

Batch consistency

Pilot a photo set before you scale it

Group similar targets, test a representative image and an edge case, then review with one rubric.Read the guide

Troubleshooting

Find the failed stage before you retry

Separate upload rejection, account checks, queue state, terminal failure, blur, wrong faces, and motion flicker with a local decision tree.Open the decision tree

Output evaluation

Review every result with one transparent scorecard

Rate identity, blending, pose, lighting, occlusion, technical integrity, and motion stability, then export the evidence.Open the scorecard

Workflow choice

Choose several output files or one mapped group photo

Compare input patterns, limits, output shape, and current 6-credit units before upload.Read the guide

Private input preflight

Measure the image locally before you upload

Inspect dimensions, luminance, contrast, clipping, and edge detail without sending the selected file.Read the guide

Image export rule

Know exactly when a new image is watermark-free

Review the complete-email trial watermark, paid future-export entitlement, and unchanged old-file rule.Read the guide

Image quality

Choose inputs that preserve identity and scene detail

Use a practical matrix for pose, expression, lighting, resolution, hair, and occlusion.Read the guide

Privacy and consent

Know what happens before you upload or share

Check permission, retention, training use, account deletion, and visible trial watermark details.Read the guide

Developer integration

Automate all five face-swap workflows

Create a key, submit multipart media, poll task status, and use the exact limits and credit rules in the OpenAPI contract.Read the API docs