{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_deepswap","slug":"deepswap","name":"DeepSwap","type":"product","url":"https://www.deepswap.ai","page_url":"https://unfragile.ai/deepswap","categories":["image-generation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_deepswap__cap_0","uri":"capability://image.visual.single.face.detection.and.swapping.in.static.images","name":"single-face detection and swapping in static images","description":"Detects facial landmarks and geometry in uploaded images using deep learning-based face detection (likely MTCNN or RetinaFace), then applies a generative face-swapping model (possibly a variant of deepfaceLive or similar GAN-based architecture) to seamlessly blend the source face onto the target face while preserving lighting, skin tone, and head orientation. The process involves face alignment, feature extraction, and blending to maintain photorealism without visible artifacts at face boundaries.","intents":["I want to swap my face with a celebrity in a photo for entertainment","I need to quickly test if face-swapping works on my image before committing to paid credits","I want to create a funny meme by putting my face on someone else's body in a static image"],"best_for":["casual social media users creating entertainment content","meme creators testing quick face-swap ideas","non-technical users who want zero setup or parameter tuning"],"limitations":["Struggles with extreme head angles (>45 degrees), partial face visibility, or occluded faces (glasses, masks) requiring multiple retry attempts","Single-face detection per image — cannot reliably swap multiple faces in one image without manual selection","Output quality degrades on low-resolution source images (<200px face width)","Free tier applies visible watermarks and limits downloads to 3-5 per day"],"requires":["Web browser with modern JavaScript support","Image file in JPG, PNG, or WebP format (max 10-20MB estimated)","Free account or paid subscription for watermark-free outputs"],"input_types":["image/jpeg","image/png","image/webp"],"output_types":["image/jpeg","image/png"],"categories":["image-visual","face-detection-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deepswap__cap_1","uri":"capability://image.visual.video.face.swapping.with.temporal.consistency","name":"video face-swapping with temporal consistency","description":"Processes video frame-by-frame using the same face detection and GAN-based swapping pipeline as static images, but adds temporal smoothing to prevent flicker and jitter between consecutive frames. The system likely tracks face position and orientation across frames using optical flow or Kalman filtering, then applies consistent face-swap parameters across the sequence to maintain visual coherence. Output is re-encoded into MP4 or WebM format with audio preservation.","intents":["I want to create a funny video where my face replaces someone else's for the entire clip","I need to swap faces in a short TikTok or Instagram Reel without desktop software","I want to test video face-swapping quality before paying for premium credits"],"best_for":["short-form content creators (TikTok, Instagram Reels, YouTube Shorts)","entertainment-focused users creating novelty videos","users without access to desktop GPU or video editing software"],"limitations":["Video processing is significantly slower than image processing — a 30-second video may take 2-5 minutes to process depending on resolution and server load","Free tier limits video length to 15-30 seconds and applies watermarks; paid tiers support up to 5-10 minutes","Temporal consistency breaks down on fast camera movement, rapid head rotations, or scene cuts","Audio is preserved but not analyzed — lip-sync is not guaranteed and may appear misaligned on dialogue-heavy content","Output resolution capped at 720p on free tier, 1080p on paid tiers"],"requires":["Web browser with video upload capability","Video file in MP4, MOV, or WebM format (max 100-500MB estimated)","Minimum 15-second video length for processing","Paid subscription for watermark-free outputs and longer videos"],"input_types":["video/mp4","video/quicktime","video/webm"],"output_types":["video/mp4","video/webm"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deepswap__cap_2","uri":"capability://image.visual.source.and.target.face.selection.ui.with.preview","name":"source and target face selection ui with preview","description":"Provides an interactive web interface for users to upload or select source and target faces, with real-time preview of detected faces overlaid on the image/video. The UI likely uses canvas-based face bounding box visualization and allows users to manually correct or deselect detected faces if the automatic detection fails. Selection state is maintained in the browser session and passed to the backend processing pipeline.","intents":["I want to see which faces were detected before processing to avoid swapping the wrong faces","I need to manually select faces if the auto-detection missed or misidentified someone","I want to preview the swap result before committing credits to the final render"],"best_for":["users with multiple faces in an image who need precise control","non-technical users who benefit from visual feedback before processing","creators testing different face combinations without re-uploading"],"limitations":["Manual face selection is cumbersome for videos with many frames — only available for image mode","Preview is low-resolution and may not accurately represent final output quality","No batch selection — each image/video requires separate upload and selection","Face detection preview may show false positives (e.g., detecting faces in artwork or backgrounds) requiring manual deselection"],"requires":["Web browser with canvas and WebGL support","Image or video already uploaded to the platform"],"input_types":["image/jpeg","image/png","video/mp4"],"output_types":["UI state (face selections, coordinates)"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deepswap__cap_3","uri":"capability://automation.workflow.freemium.credit.based.usage.metering.and.rate.limiting","name":"freemium credit-based usage metering and rate limiting","description":"Implements a credit system where free users receive a limited daily or monthly allowance (e.g., 3-5 image swaps or 1-2 video swaps per day), and paid users unlock higher quotas based on subscription tier. The backend tracks credit consumption per user session, enforces rate limits via IP/account-level throttling, and applies watermarks to free-tier outputs as a visual indicator of tier status. Paid tiers ($9.99-$19.99/month) remove watermarks and increase quotas proportionally.","intents":["I want to test the service quality before paying for a subscription","I need unlimited face swaps for my content creation business and am willing to pay monthly","I want to understand the cost-benefit of upgrading from free to paid based on my usage"],"best_for":["freemium SaaS businesses seeking to convert casual users to paid subscribers","casual creators who want to test before committing financially","professional creators with predictable monthly usage patterns"],"limitations":["Free tier watermarks are prominent and unsuitable for professional content, forcing quick upgrade decisions","Credit limits are strict and reset on a fixed schedule (daily/monthly), preventing flexibility for bursty usage","No rollover of unused credits — daily limits expire at midnight, encouraging users to upgrade for consistency","Pricing ($9.99-$19.99/month) may be steep for casual users who only need 1-2 swaps per week"],"requires":["User account (free or paid)","Active internet connection to validate credits before processing"],"input_types":["user-account-state","subscription-tier"],"output_types":["credit-balance","rate-limit-status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deepswap__cap_4","uri":"capability://image.visual.watermark.application.and.removal.via.subscription","name":"watermark application and removal via subscription","description":"Automatically embeds a visible watermark (typically a logo or text overlay) on all free-tier outputs at the image encoding stage, serving as both a branding mechanism and a visual indicator of tier status. Watermarks are applied post-processing before final image/video encoding, using either pixel-level overlay (for images) or frame-level compositing (for videos). Paid subscriptions disable this watermark application, providing clean outputs without modification.","intents":["I want to share my face-swap creation on social media without a visible watermark","I need to understand what the free tier output looks like before upgrading","I want to use face-swap outputs in professional or commercial contexts where watermarks are unacceptable"],"best_for":["professional creators who cannot accept watermarked outputs","users sharing content on platforms where watermarks reduce engagement","businesses using face-swap for commercial purposes"],"limitations":["Watermarks are non-removable on free tier — no workarounds or watermark-removal tools are provided","Watermark placement may obscure important details in the swapped face, reducing output quality perception","Paid tier removal is the only way to get clean outputs, creating strong conversion pressure","Watermark design is not customizable — users cannot replace it with their own branding"],"requires":["Paid subscription ($9.99+/month) to disable watermark application"],"input_types":["processed-image","processed-video"],"output_types":["watermarked-image","watermarked-video","clean-image","clean-video"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deepswap__cap_5","uri":"capability://automation.workflow.batch.processing.queue.management.with.estimated.wait.times","name":"batch processing queue management with estimated wait times","description":"Manages asynchronous processing of face-swap requests through a backend job queue (likely using Redis, RabbitMQ, or similar), assigning each request a position in the queue and providing users with estimated wait times based on queue depth and average processing duration. The system scales worker processes based on queue length and provides real-time status updates via WebSocket or polling. Users can monitor progress and receive notifications when processing completes.","intents":["I want to know how long my video will take to process before submitting it","I need to process multiple images/videos and want to understand the queue status","I want to receive a notification when my face-swap is ready instead of checking manually"],"best_for":["users processing longer videos (5-10 minutes) who need transparency on wait times","batch users submitting multiple requests and wanting to plan around processing time","users with time-sensitive content deadlines who need to estimate completion"],"limitations":["Estimated wait times are based on average processing duration and may be inaccurate during traffic spikes","Queue position can change if higher-priority (paid) users are prioritized, making estimates unreliable","No ability to pause, cancel, or reorder queued jobs — once submitted, processing cannot be interrupted","Notifications may be delayed or unreliable depending on email/push notification infrastructure"],"requires":["User account with active session","Processed image/video submitted to the platform"],"input_types":["job-metadata","queue-state"],"output_types":["estimated-wait-time","queue-position","processing-status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deepswap__cap_6","uri":"capability://image.visual.face.detection.failure.recovery.with.retry.suggestions","name":"face detection failure recovery with retry suggestions","description":"When face detection fails (e.g., due to extreme angles, occlusion, or low resolution), the system provides specific feedback to users about why detection failed and suggests corrective actions such as re-uploading a clearer image, adjusting the angle, or removing obstructions. The backend logs detection failures and may offer automatic retry with adjusted detection parameters (e.g., lowering confidence thresholds) without consuming additional credits.","intents":["I want to understand why my face wasn't detected so I can fix it and retry","I want to retry face detection with adjusted parameters without losing credits","I need guidance on how to take a better photo for successful face detection"],"best_for":["users with difficult-to-detect faces (angles, occlusion, low resolution)","non-technical users who need clear error messages and guidance","users frustrated by failed processing who want to understand the root cause"],"limitations":["Retry suggestions are generic and may not apply to all failure scenarios","Automatic retry with adjusted parameters may produce lower-quality swaps due to relaxed detection thresholds","No manual face annotation — users cannot manually specify face regions if detection fails completely","Retry logic is opaque — users don't know what parameters were adjusted or why"],"requires":["Failed face detection on initial processing attempt"],"input_types":["image","video"],"output_types":["error-message","retry-suggestion","adjusted-detection-parameters"],"categories":["image-visual","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deepswap__cap_7","uri":"capability://safety.moderation.content.moderation.and.deepfake.misuse.detection","name":"content moderation and deepfake misuse detection","description":"Implements backend checks to detect and prevent face-swapping of sensitive content such as non-consensual intimate imagery, political figures, or minors. The system likely uses image classification models to identify prohibited content categories and may flag suspicious usage patterns (e.g., repeated swaps of the same target face) for manual review. Detected violations result in account suspension or content removal, though the moderation criteria and enforcement are not publicly transparent.","intents":["I want to ensure the platform is not being used to create non-consensual deepfakes","I need to understand what content is prohibited before uploading","I want to report abusive face-swap content created by other users"],"best_for":["platform operators concerned about deepfake misuse and legal liability","users wanting assurance that the platform has ethical safeguards","regulators and policymakers evaluating AI safety practices"],"limitations":["Moderation criteria are opaque — no public documentation of what content is prohibited or how violations are detected","Detection accuracy is unknown — false positives may block legitimate content, false negatives may allow prohibited content","Manual review process is slow and may not scale to high-volume abuse reports","No user-facing appeals process for incorrectly flagged content","Moderation is reactive (post-upload) rather than preventive, allowing prohibited content to be created before detection"],"requires":["Backend image classification model trained on prohibited content categories","User account with activity history for pattern detection"],"input_types":["image","video","user-activity-history"],"output_types":["moderation-decision","violation-flag","account-suspension"],"categories":["safety-moderation","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deepswap__cap_8","uri":"capability://image.visual.multi.format.output.export.with.quality.options","name":"multi-format output export with quality options","description":"Allows users to export processed face-swaps in multiple formats (JPG, PNG for images; MP4, WebM for videos) with adjustable quality/compression settings. The backend uses FFmpeg or similar encoding libraries to transcode outputs, with quality presets (low/medium/high) that trade file size for visual fidelity. Users can select output format and quality before final export, with estimated file size displayed.","intents":["I want to export my face-swap as a PNG with lossless quality for archival","I need a compressed MP4 file optimized for social media upload","I want to understand the file size before downloading to check my storage quota"],"best_for":["content creators optimizing for different platforms (Instagram, TikTok, YouTube)","users with limited storage or bandwidth wanting to control file size","professionals requiring lossless outputs for further editing"],"limitations":["Quality presets are fixed — no granular control over bitrate, codec, or compression parameters","Lossless PNG export is not available for videos, only images","WebM format support may be limited on older browsers or devices","Transcoding adds processing time — high-quality exports may take 30-60 seconds additional wait"],"requires":["Processed face-swap ready for export"],"input_types":["processed-image","processed-video"],"output_types":["image/jpeg","image/png","video/mp4","video/webm"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deepswap__cap_9","uri":"capability://image.visual.browser.based.processing.with.optional.cloud.acceleration","name":"browser-based processing with optional cloud acceleration","description":"Primarily processes face-swaps on backend servers (cloud-based GPU inference), but may offer optional client-side processing for images using WebGL or WebAssembly to reduce server load and latency. The architecture routes requests to either local browser processing (for simple images) or cloud servers (for videos or complex scenarios), with transparent fallback if client-side processing fails. This hybrid approach balances latency, cost, and reliability.","intents":["I want fast face-swap processing without waiting in a queue","I want to process face-swaps offline or with minimal data transmission","I want to understand whether my processing is happening locally or in the cloud"],"best_for":["users with modern browsers (Chrome, Firefox, Safari) supporting WebGL","users on high-latency or unreliable internet connections","privacy-conscious users wanting to minimize data transmission to servers"],"limitations":["Client-side processing is limited to simple images — videos and complex scenarios still require cloud processing","Browser-based processing requires significant GPU memory and may fail on older devices or browsers","No transparency about when processing happens locally vs. in the cloud — users cannot force one or the other","Client-side processing quality may be lower than cloud-based inference due to model size constraints","Fallback to cloud processing on failure may result in unexpected latency or cost"],"requires":["Modern web browser with WebGL 2.0 or WebAssembly support","Sufficient GPU memory (2GB+) for client-side processing"],"input_types":["image/jpeg","image/png","video/mp4"],"output_types":["image/jpeg","image/png","video/mp4"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support","Image file in JPG, PNG, or WebP format (max 10-20MB estimated)","Free account or paid subscription for watermark-free outputs","Web browser with video upload capability","Video file in MP4, MOV, or WebM format (max 100-500MB estimated)","Minimum 15-second video length for processing","Paid subscription for watermark-free outputs and longer videos","Web browser with canvas and WebGL support","Image or video already uploaded to the platform","User account (free or paid)"],"failure_modes":["Struggles with extreme head angles (>45 degrees), partial face visibility, or occluded faces (glasses, masks) requiring multiple retry attempts","Single-face detection per image — cannot reliably swap multiple faces in one image without manual selection","Output quality degrades on low-resolution source images (<200px face width)","Free tier applies visible watermarks and limits downloads to 3-5 per day","Video processing is significantly slower than image processing — a 30-second video may take 2-5 minutes to process depending on resolution and server load","Free tier limits video length to 15-30 seconds and applies watermarks; paid tiers support up to 5-10 minutes","Temporal consistency breaks down on fast camera movement, rapid head rotations, or scene cuts","Audio is preserved but not analyzed — lip-sync is not guaranteed and may appear misaligned on dialogue-heavy content","Output resolution capped at 720p on free tier, 1080p on paid tiers","Manual face selection is cumbersome for videos with many frames — only available for image mode","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.78,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:30.283Z","last_scraped_at":"2026-04-05T13:23:42.552Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=deepswap","compare_url":"https://unfragile.ai/compare?artifact=deepswap"}},"signature":"83nZMoTDwqUUFfPV+LNVUSlGTbzFetnH9Fafczxjtu8yTgdFq+E4B2gm5wix+og1nsvcpfgFeGuP2BVCg+TdBA==","signedAt":"2026-06-22T12:53:23.457Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/deepswap","artifact":"https://unfragile.ai/deepswap","verify":"https://unfragile.ai/api/v1/verify?slug=deepswap","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}