Free AI Batch Face Swap Online.
Bulk Swap 20+ Photos at Once with 1-Click .ZIP Export.
Process up to 20 images in parallel with multi-threaded GPU inference. Replace one face across an entire album or map multiple subjects in bulk with automated landmark alignment. 100% Free, one-click bulk .ZIP archive download, with zero watermarks and no login.
106-PT FACE
AI Batch Face Swap: High-Velocity Bulk Multi-Image Replacement Without Watermarks
Transform entire photo collections, apparel lookbooks, and event albums in a single operation. Our parallel neural pipeline swaps faces across up to 20 images simultaneously, saving 94% of active production time.
Commercial-Grade Bulk Processing Without Per-Photo Credit Traps
AIFaceSwap Studio eliminates the grueling bottleneck of one-by-one face swapping. While commercial tools (such as Remaker, VidMage, and Media.io) burn 1 to 2 credits per image ($20 to $40 per 20-photo batch) or cap free tiers at 5 photos, our engine delivers 100% flat free processing for batches up to 20 images. Featuring dual topology modes (1-to-Many Lookbook and Many-to-1 Team Roster), CIE-LAB photometric relighting, and a native 1-click streaming .ZIP export, our platform streamlines workflows for fashion retailers, event photographers, and digital agencies.
What Is Neural Batch Face Swapping?
Batch face swapping is an automated multi-threaded pipeline that executes face detection, 512-D identity projection, and super-resolution across an entire queue of images. Rather than restarting the pipeline for every photo, our asynchronous GPU scheduler caches the source identity vector in VRAM, processing consecutive target photos in parallel with zero redundant computations.
Parallel GPU PipelineEliminating the Per-Photo Credit Toll
Competitors treat batch operations as high-margin profit centers, charging 1 to 2 credits per photo. A 20-image lookbook drains 20 to 40 credits ($5 to $15). If 3 photos have minor lighting issues, you must pay again to re-render. AIFaceSwap Studio operates completely without credits, tokens, or subscriptions, empowering unrestricted creative iteration.
Zero Token Drain1-Click In-Memory ZIP Bundling
Downloading 20 individual images triggers 20 separate browser download dialogs and litters your desktop with disorganized files. Our architecture compiles all processed HD images into an in-memory streaming PKZIP 2.0 archive, allowing you to download your entire finished collection in a single clean `.zip` file with one click.
Clean ZIP ArchiveEnd-to-End Batch Processing Pipeline: From Multi-File Ingestion to Deflate Compression
High-throughput batch synthesis requires an enterprise-grade concurrency architecture. Discover how our multi-threaded pipeline ingests, aligns, harmonizes, and archives multi-image queues in seconds.
5-Stage Asynchronous Concurrency and Archive Assembly Graph
Processing multi-image batches efficiently requires minimizing memory transfers between host CPU and GPU VRAM. Our architecture ingests up to 20 target photos, queues them through an asynchronous task worker pool, executes RetinaFace landmark localization in parallel, locks identity using cached 512-D ArcFace vectors, restores fine facial details with GFPGAN v1.4, and streams compressed Deflate archives directly to the client.
Stage 1: Multi-File Ingestion & Task Queuing
Users drag-and-drop multiple images or entire directories. Our client-side preprocessor validates file formats (JPEG, PNG, WEBP), checks resolution floors, and uploads the queue to asynchronous server worker threads, initializing live thumbnail status indicators (Queued, Processing, Complete).
Asynchronous Task WorkerStage 2: Parallel RetinaFace Landmark Localization
Target images are distributed across parallel CUDA tensor streams. RetinaFace Feature Pyramid Networks detect multi-scale 2D/3D facial landmarks, computing 6-DOF head pose and affine transformation matrices simultaneously across varied poses, tilts, and camera distances.
Parallel CUDA StreamsStage 3: ArcFace Geodesic Vector Caching
The reference face is encoded once into a 512-dimensional hypersphere embedding via ArcFace Additive Angular Margin Loss (m=0.5). This identity vector remains resident in high-speed GPU VRAM, allowing all 20 target photos to bind to the exact same biometric identity without re-extraction overhead.
VRAM Vector CachingStage 4: GFPGAN Super-Resolution & Obstruction Masking
InSwapper latent layers project the identity embedding into each target frame. Our obstruction-tolerant v2 segmentation engine isolates foreground elements (sunglasses, hair strands, hats), while GFPGAN v1.4 generative facial priors restore sharp eye pupils, natural eyelashes, and crisp skin micro-textures.
Obstruction SegmentationStage 5: In-Memory Deflate Streaming (.ZIP)
Synthesized HD frames are passed to an in-memory ZIP archiver. Using standard PKZIP 2.0 Deflate compression (RFC 1951), byte streams are packed and validated with CRC-32 checksums on the fly, streaming a unified archive download without generating intermediate server disk clutter.
Zero Disk ClutterHow to Batch Face Swap in 3 Steps: Instant Web Execution Without Software
Transform dozens of photos in seconds. Our intuitive batch studio eliminates repetitive manual uploads, Photoshop scripts, and complicated command-line utilities.
Select Mode → Upload Batch Photos → Download Complete ZIP Archive
Executing a 20-photo batch swap requires only 3 simple steps: Select your desired batch topology (Mode A Lookbook or Mode B Team Roster), drag-and-drop your target photos or pick a preset pack, upload your reference face, and click "Batch Swap All". Within 25 seconds, your processed collection is ready to inspect individually or download as a complete ZIP file.
Step 1: Select Your Batch Mode
Choose between Mode A (1-to-Many Lookbook) to place one person's face across multiple target photos (e-commerce catalogs, travel albums) or Mode B (Many-to-1 Team Roster) to swap multiple people into a single base template (corporate teams, cast posters).
Mode A / Mode B SelectorStep 2: Upload Reference Face & Queue Photos
Upload a crisp front-facing portrait photo as your reference face. Then drag-and-drop up to 20 target photos into the multi-file dropzone, select an entire folder, or choose one of our pre-loaded lookbook packs (Editorial Studio, Business Headshots, Fashion Runway).
Up to 20 Target PhotosStep 3: Execute Batch & Export ZIP Archive
Click "Batch Swap All" to launch parallel neural processing. Track live per-image progress cards as frames are completed. Inspect individual before/after previews, re-swap specific slots if desired, and click "Download All as ZIP" for instant 1-click archiving.
1-Click Master ZIPDual Batch Topology: 1-to-Many Lookbook Mode vs. Many-to-1 Team Roster Mode
Different commercial projects require completely different topological mappings. Discover how our dual-mode architecture solves both lookbook modeling and group team rosters.
Mode A (1-to-Many Lookbook) vs. Mode B (Many-to-1 Team Roster)
Most batch tools only support a rigid 1-to-Many architecture, forcing users into a single workflow. AIFaceSwap Studio supports two distinct topologies: Mode A (1-to-Many) applies one reference face across up to 20 varied target photos (ideal for fashion lookbooks and photoshoot variations), while Mode B (Many-to-1) takes up to 20 different source faces and maps them into a single master template (ideal for corporate directories and movie cast posters).
Mode A (1-to-Many): Lookbook & Apparel Modeling
Workflow: 1 Source Face → 20 Target Photos.
Real-World Use Case: An apparel brand has 20 photos of different outfits shot on generic mannequins or stock models. By uploading 1 licensed brand model face, Mode A automatically maps the model's likeness across all 20 garments, ensuring unified branding across the entire seasonal catalog.
Mode B (Many-to-1): Team Roster & Character Templates
Workflow: 20 Source Faces → 1 Master Target Template.
Real-World Use Case: A corporate HR team has 1 professional executive portrait template (with studio lighting and branded backdrop). By uploading photos of 20 employees, Mode B swaps each employee into the standardized executive template, producing consistent corporate headshots in seconds.
| Topological Mode | Source Input | Target Queue | Primary Commercial Application | Export Structure |
|---|---|---|---|---|
| Mode A (1-to-Many Lookbook) | 1 Reference Face Portrait | Up to 20 Varied Target Photos | Apparel catalogs, fashion lookbooks, travel series, influencer branding. | 20 HD Photos in 1 ZIP |
| Mode B (Many-to-1 Team Roster) | Up to 20 Individual Portraits | 1 Master Base Scene Template | Corporate directories, team headshot standardization, movie cast variations. | 20 Standardized Headshots |
| Paired Queue (Many-to-Many) | 20 Paired Faces | 20 Specific Targets | Large-scale dataset augmentation, automated bulk pairing via filename matching. | Sequential Paired Outputs |
Single-Click Export Engineering: In-Memory Streaming ZIP Packaging (.ZIP)
Downloading 20 images one by one is an agonizing waste of creator time. Discover how our in-memory streaming archiver delivers instant, organized bulk downloads.
Zero Disk Overhead In-Memory PKZIP 2.0 Streaming Architecture
Most web tools either lack batch downloading entirely or write bulky temporary files to server disks, causing download queues to stall. AIFaceSwap Studio uses an in-memory streaming archiver based on the PKZIP 2.0 / RFC 1951 Deflate standard. Processed high-resolution frames are compressed into an ephemeral memory buffer and streamed directly to your browser as aifaceswap_batch_[timestamp].zip with zero intermediate disk lag.
In-Memory Deflate Archiving (RFC 1951)
Standard server archivers save 20 uncompressed image files to local disk, execute a zip command, and delete the files—introducing severe disk I/O bottlenecks. Our pipeline writes compressed JPEG/PNG frames directly into an ephemeral RAM stream, compressing data via Deflate with CRC-32 integrity checks and streaming the finished archive immediately.
Zero Server I/O LagGranular Dual-Export Controls
We don't force an all-or-nothing export. After the batch completes, you can inspect each image in a high-resolution modal, click individual download icons for immediate saves, or click the master "Download All as ZIP" button to save the entire collection in one organized folder.
Total Export Control| Export Mechanism | Download Actions Required | Local File Clutter | Archive Integrity | Workflow Efficiency |
|---|---|---|---|---|
| AIFaceSwap Studio (In-Memory ZIP) | 1 Single Click | 0 Clutter (1 Organized .ZIP) | PKZIP 2.0 / CRC-32 Verified | 99% Efficiency (15s Total) |
| Standard Competitors (Manual Downloads) | 20 Separate Clicks | 20 Loose Files in Downloads | No Checksum Verification | 25% Efficiency (Tedious & Slow) |
| Server Disk-Based Archivers | 1 Click (After Long Wait) | 1 ZIP Archive | Prone to Server Disk Timeouts | 60% Efficiency (Slow Queue) |
| Cloud Drive Export (Dropbox / GDrive) | OAuth Login + 4 Clicks | Cloud Folder Storage | Requires Third-Party Account | 50% Efficiency (Auth Friction) |
Competitive Industry Audit: Our Free Batch Studio vs. Top Online Generators
We conducted benchmark tests across the leading commercial and freemium batch face swap tools. Compare the results below to see why creators choose our studio over restrictive paywalls.
Transparent, Flat Free Batch Processing Without Hidden Micro-Transactions
Most commercial tools (Remaker AI, VidMage, Live3D) lure users with "Free Batch Swap" claims, only to enforce strict 5-photo limits, deduct 1 to 2 paid credits per image, or push $400/year desktop apps. AIFaceSwap Studio provides genuinely unrestricted processing for up to 20 images per batch run with zero watermarks, dual topology modes, and 1-click ZIP downloads.
| Platform | Batch Limit (Free) | Cost Model | Watermark Policy | 1-Click ZIP Export | Dual Batch Modes | Sign-Up Required? |
|---|---|---|---|---|---|---|
| AIFaceSwap Studio | Up to 20 Photos | 100% Flat Free | Zero Watermark | Native In-Memory ZIP | Mode A & Mode B | No (Instant Access) |
| Live3D | 10 Photos Max | Freemium with Quotas | Clean on Free | No (Manual Saves) | Yes | No |
| Visro.ai | Up to 50 (Claimed) | Cloud Rate Limits | Clean on Trial | Clunky Browser ZIP | Yes | No |
| Remaker AI | 50 Photos Max | 1–2 Credits / Photo | Watermark unless Paid | No (Loose Files) | Yes (v1 / v2) | Yes (Mandatory Login) |
| VidMage | Strict 5 Photos Free | 15 daily ops; \$400/yr App | Watermark on Free | Yes (ZIP Available) | Yes | No for 5 photos |
| DeepSwap | 0 (No Batch Tool) | Paid Subscription | Watermark on All | No | No | Yes (Mandatory Sign-Up) |
The Math Behind the "Per-Photo" Credit Trap
When an AI platform charges 1 credit per image, processing a 20-photo catalog burns 20 credits. If you need 3 batch iterations to test different angles, you've burned through 60 credits ($15 to $30). AIFaceSwap Studio eliminates financial anxiety entirely, allowing brands and creators to iterate freely.
Zero Financial DrainThe "5-Photo Free" Freemium Illusion
Tools like VidMage claim to offer "Free Batch Face Swap", but cap free operations at only 5 images at a time and strictly limit users to 15 total operations per day before pushing a $400/year offline desktop subscription. Our web engine processes full 20-photo batches without artificial bottlenecks.
Truly Unlimited BatchesCommercial E-Commerce Lookbooks: Slashing Model Licensing Costs by 90%
Hiring professional models, booking studio spaces, and licensing talent for dozens of apparel SKUs costs thousands of dollars. Discover how digital merchants use batch face swapping to scale product mockups.
Unified Brand Identity Across Multi-Pose Apparel Lookbooks
E-commerce fashion brands require consistent model representation across entire seasonal collections. By utilizing AIFaceSwap Studio Mode A (1-to-Many), merchants can upload a single licensed brand model face and map it across 20+ apparel mannequin shots or ghost-mannequin stock photos in under 25 seconds, cutting photoshoot overhead by 90% while establishing consistent brand aesthetics.
Consistent Brand Persona Across 20+ Outfits
In fashion e-commerce, showing different faces on every product page creates a disjointed, cheap lookbook feel. Batch face swapping maps one consistent face onto all garment photos (front, three-quarter, walking, and studio poses), building brand trust and increasing buyer conversion rates.
Brand Persona ConsistencyReplacing Headless Mannequins & Stock Models
Hiring models for every single SKU is cost-prohibitive for small merchants. Photographers can shoot garments on affordable headless mannequins or licensed stock models, then batch swap a signature AI or licensed model face onto all 20 garments simultaneously.
90% Cost ReductionLocalization for Global Markets
Selling into North America, Asia, and Europe? Rather than running 3 separate international photoshoots, retailers can take one core product photoshoot and batch swap diverse regional model faces in seconds, localizing campaigns for specific cultural demographics.
Global Localization| Production Method | Cost for 20 SKUs | Turnaround Time | Model Consistency | Scalability |
|---|---|---|---|---|
| AIFaceSwap Batch Studio | $0.00 (Flat Free) | < 25 Seconds | 100% Identical ArcFace Vector | Infinite (Unlimited Batches) |
| Single-Image AI Tools (Paid) | $15 – $40 in Credits | 15 – 25 Minutes (Manual Clicks) | Variable Identity Drift | Low (Manual Overhead) |
| Traditional Commercial Photoshoot | $3,500 – $8,000+ | 2 to 4 Weeks (Booking & Retouch) | High (Live Model) | Extremely Low (Cost Barrier) |
| Photoshop Freelancer Retouching | $400 – $1,200 | 3 to 5 Business Days | Manual Masking Variations | Low (Hourly Labor) |
Technical Specifications: Batch Limits, Dimensions, File Sizes & Codecs
Exhaustive Entity-Attribute-Value (EAV) documentation for commercial production teams, agency art directors, and machine learning engineers.
Enterprise Concurrency Constraints & Supported Image Formats
AIFaceSwap Studio supports all modern web image containers (JPEG, PNG, WEBP) with upload batches up to 20 images (maximum 100MB total payload). Individual target images are processed at native resolution up to 4K (4096x4096px). Processed files are delivered via visually lossless JPEG 95 or lossless PNG transparency and archived on the fly via standard PKZIP 2.0 Deflate compression.
| Technical Attribute | Supported Values / Parameter Bounds | Production Impact / Recommendation |
|---|---|---|
| Maximum Batch Capacity | Up to 20 Images per Batch Run | Sufficient for complete seasonal apparel lookbooks or wedding burst sequences. |
| Maximum Upload Batch Payload | 100 MB (Megabytes) Total Queue Size | Generous limit accommodating raw high-resolution DSLR export files. |
| Supported Ingestion Formats | JPEG (.jpg, .jpeg), PNG (.png), WEBP (.webp) | Supports standard professional studio and e-commerce web image formats. |
| Maximum Target Image Resolution | Up to 4K Ultra HD (4096 x 4096 Pixels) | Preserves high-resolution details for billboard and print catalog usage. |
| Color Space & Relighting | CIE-LAB Auto-Harmonization (ΔE*_ab < 2.3) | Matches ambient lighting, color temperature, and skin luminosity automatically. |
| ZIP Archive Compression | PKZIP 2.0 / RFC 1951 Deflate (In-Memory Streaming) | Instant 1-click download with CRC-32 integrity and zero intermediate server lag. |
| Obstruction-Tolerant Engine | v2 Dynamic Facial Masking & Prior Inpainting | Accurately handles sunglasses, bangs, microphones, and high collars. |
| Server Data Retention | Ephemeral RAM / 1-Hour Strict TTL Auto-Purge | Enterprise biometric privacy with automated cryptographic deletion. |
Lossless PNG vs. Visually Lossless JPEG 95
For print catalogs and high-end fashion editorial lookbooks, select PNG output to retain zero compression artifacts and alpha transparency. For fast Shopify or Amazon web stores, JPEG 95 allocates optimal bitrate without visible quality degradation while keeping file weights under 2MB.
Dual Output ProfilesObstruction-Tolerant v2 Segmentation
When fashion models wear sunglasses, wide-brim hats, or high winter collars, naive face swappers warp the replacement skin over the accessories. Our v2 obstruction engine segments foreground objects into an exclusion matte, painting the replacement face strictly onto underlying biological skin.
Accessory ProtectionPhotometric Consistency: CIE-LAB Skin Auto-Harmonization Across Varied Scenes
How does our engine ensure that a single face photo looks natural whether swapped into a sunny beach scene, a fluorescent corporate boardroom, or a dim nightclub? Explore our color science.
CIE-LAB Color Space Skin Auto-Harmonization Below the JND Threshold
Direct RGB pixel blending fails across diverse photo collections because ambient color temperatures clash. AIFaceSwap Studio converts facial crops to the perceptual CIE-LAB color space, decoupling luminance ($L^*$) from chromatic warmth ($a^*, b^*$). By dynamically matching the statistical color distribution of each target photo, perceptual color shifts are kept strictly below the human visual Just Noticeable Difference threshold ($\Delta E^*_{ab} < 2.3$), eliminating the "pasted-on sticker" look.
ΔE*_ab = √( (ΔL*)^2 + (Δa*)^2 + (Δb*)^2 ) < 2.3 (JND Threshold)
L*_swapped(x,y) = L*_source(x,y) + [ μ(L*_target_skin) - μ(L*_source_skin) ] · β
a*_swapped(x,y) = a*_source(x,y) + [ μ(a*_target_skin) - μ(a*_source_skin) ] · γ
b*_swapped(x,y) = b*_source(x,y) + [ μ(b*_target_skin) - μ(b*_source_skin) ] · γ
| Scene Environment | Ambient Lighting Condition | Luminance Shift (ΔL*) | Chromatic Shift (Δa*, Δb*) | Perceptual Integration Quality |
|---|---|---|---|---|
| Outdoor Direct Sunlight | High-Contrast Harsh Specular | +18.4% (Highlights Amplified) | Warm Golden Shift (+5.2 b*) | Natural Sun-Kissed Blend |
| Indoor Fluorescent Office | Diffuse Cool Flat Lighting | -6.2% (Specular Dampened) | Cool Neutral Shift (-3.1 a*) | Realistic Corporate Tone |
| Golden Hour Sunset Shoot | Low-Angle Warm Backlight | +12.0% (Rim Light Boost) | Deep Amber Shift (+8.4 b*) | Cinematic Warm Glow |
| Dim Nightclub / Event | Low Ambient + Neon Accents | -24.5% (Shadow Integration) | Cyan/Magenta Split Tone | Moody Ambient Integration |
Professional Photography: Wedding Album Burst Correction & Corporate Headshots
Professional photographers capture hundreds of photos per event. Discover how batch face swapping fixes closed eyes across wedding bursts and standardizes corporate directories.
Rescuing Flawed Event Bursts and Standardizing Agency Rosters
Every event photographer knows the frustration of a group photo burst where different subjects blink or grimace in alternate frames. Rather than spending hours in Photoshop copying eye patches, photographers can use AIFaceSwap Studio to swap open-eyed expressions across an entire burst sequence in under 25 seconds, saving the shoot and delighting clients.
Wedding & Event Blink Correction
In a 10-shot wedding party burst, the bride looks perfect in frame 3 but the groom blinked; in frame 7, the groom looks great but the bridesmaid looked away. Upload the best smiling portrait and batch swap it across the burst to produce a flawless album sequence.
100% Open-Eye RescueCorporate Executive Headshots (Mode B)
Remote companies struggle to keep team directory headshots consistent. Using Mode B (Many-to-1), HR managers upload 20 casual employee selfies and map them into a single studio portrait template, producing unified corporate headshots for LinkedIn and company websites.
Standardized Corporate LookThemed Cosplay & Creative Portfolios
Digital creators and cosplayers can place their likeness into 20 different fantasy, cyberpunk, or historical templates in a single batch operation. Exporting the entire collection as a ZIP archive makes social media content scheduling effortless.
Rapid Concept IterationBiometric Privacy & Data Ethics: Zero-Retention Cryptographic Architecture
Commercial catalogs and personal photos contain sensitive biometric and proprietary data. Discover how our privacy-by-design architecture protects user assets.
Zero Model Training, Isolated Processing & Automated Ephemeral Purge
AIFaceSwap Studio operates under strict GDPR and CCPA privacy standards. We never use uploaded photos, e-commerce lookbooks, or reference portraits to train, fine-tune, or calibrate public or proprietary neural networks. Files are processed in ephemeral server memory and permanently shredded within 1 to 24 hours via automated cryptographic cron daemons.
Automated Ephemeral Serverless Purge
All uploaded target photos, reference portraits, and generated ZIP archives reside in isolated RAM/tmpfs mounts with a strict 1-hour time-to-live (TTL). Once downloaded, files are automatically unlinked and shredded, leaving zero trace on server infrastructure.
1h Strict Ephemeral PurgeZero Biometric Model Training
Your proprietary commercial lookbooks and client photos belong exclusively to you. Biometric landmark coordinates and 512-D ArcFace vectors exist only in volatile GPU memory during inference and are discarded immediately after frame generation.
No Training RetentionEnterprise Commercial Protection
Unreleased fashion lines, confidential corporate directories, and private client albums are shielded by enterprise-grade TLS 1.3 encryption in transit. We support open C2PA content authentication and mandate express consent for all commercial likenesses.
Enterprise TLS 1.3Peer-Reviewed Scientific Citations & References
Frequently Asked Questions: Technical & Operational Answers for Batch Face Swap
Everything you need to know about batch capacities, 1-click ZIP downloads, Mode A vs. Mode B topologies, and photometric color harmonization.
Direct Answers to the Top Searcher Queries
AIFaceSwap Studio is 100% free with zero watermarks, no account registration, and no credit card requirements. We process up to 20 images simultaneously per batch run with native 1-click ZIP archiving and dual-mode topologies. Read below for detailed technical explanations.
Yes. AIFaceSwap Studio is completely free to use with zero hidden fees, zero per-photo credit deductions, and absolutely no branded watermarks or logos stamped on your downloaded photos. You can process batches of up to 20 images repeatedly and download clean, full-resolution files directly to your device.
Yes. Our engine features an in-memory streaming ZIP archiver based on the PKZIP 2.0 / RFC 1951 Deflate standard. Once your batch completes, you can download all processed images in a single clean aifaceswap_batch_[timestamp].zip file with one click, eliminating tedious manual individual saves.
You can process up to 20 images simultaneously per batch run. For larger catalogs of 50 to 100 photos, you can simply run multiple successive batches—there are no daily quotas, rate throttles, or forced waitlists.
Mode A (Lookbook Mode): Maps 1 reference face across up to 20 distinct target photos (ideal for fashion lookbooks, multi-pose photoshoots, and travel series).
Mode B (Team Roster Mode): Maps up to 20 different source faces into a single base template (ideal for corporate directories, team headshot standardization, and cast posters).
Our engine performs automated CIE-LAB color space harmonization, analyzing the ambient luminance ($L^*$) and chromatic warmth ($a^*, b^*$) of each target scene. By adjusting color channels below the human visual Just Noticeable Difference threshold (ΔE < 2.3), the swapped face naturally matches sunlight, studio flashes, or dim evening lighting.
No. No account registration, email sign-up, credit card, or invitation code is required. Simply open the page in your browser, drag-and-drop your photos, and execute your batch swap immediately.