{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_video-enhancer","slug":"video-enhancer","name":"Video Enhancer","type":"product","url":"https://vmake.ai","page_url":"https://unfragile.ai/video-enhancer","categories":["video-generation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_video-enhancer__cap_0","uri":"capability://image.visual.ai.powered.video.upscaling.with.artifact.reduction","name":"ai-powered video upscaling with artifact reduction","description":"Applies deep learning-based super-resolution models (likely ESPCN, Real-ESRGAN, or similar convolutional neural networks) to increase video resolution and clarity by reconstructing missing high-frequency details. The system processes video frames sequentially, applying trained weights to interpolate pixel information and reduce compression artifacts, motion blur, and noise simultaneously across the temporal dimension.","intents":["I need to restore a 480p archive video to 1080p without losing temporal coherence","I want to remove compression artifacts from an old MP4 file that was heavily compressed","I need to salvage security footage with visible motion blur and pixelation"],"best_for":["Archivists working with digitized legacy material (VHS, DV tape transfers)","Small content creators restoring old YouTube uploads or social media clips","Documentarians preparing degraded source footage for broadcast"],"limitations":["Free tier caps output at 1080p maximum, preventing 4K restoration workflows","CPU-only processing on free tier takes 10+ minutes for 5-minute clips, making batch workflows impractical","No temporal consistency guarantees across frames—may introduce flickering or inconsistent enhancement between adjacent frames","Cannot selectively target specific artifact types (compression vs. motion blur); applies uniform enhancement strategy"],"requires":["Video file in H.264, H.265, or VP9 codec (MP4, MKV, WebM supported)","Minimum 2GB free disk space for processing temporary files","Internet connection for cloud processing (no local GPU option on free tier)"],"input_types":["video files (MP4, MKV, WebM, MOV)","resolution range: 240p to 1080p input (free tier)"],"output_types":["video files (MP4 H.264)","resolution: up to 1080p (free tier), up to 4K (paid tiers)"],"categories":["image-visual","video-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_video-enhancer__cap_1","uri":"capability://automation.workflow.batch.video.processing.with.queue.management","name":"batch video processing with queue management","description":"Implements a job queue system that accepts multiple video files, schedules them for sequential or parallel processing based on subscription tier, and manages resource allocation across concurrent upscaling operations. The system tracks processing state (queued, in-progress, completed, failed) and allows users to monitor progress and retrieve outputs asynchronously without blocking the UI.","intents":["I have 50 old family videos to restore and want to process them overnight without manual intervention","I need to apply the same enhancement settings to a folder of clips from the same source","I want to queue videos and check back later without waiting for each one to finish"],"best_for":["Content creators managing libraries of legacy footage","Archivists digitizing large collections of degraded material","Teams handling bulk video restoration projects with time flexibility"],"limitations":["Free tier likely limits concurrent jobs to 1 at a time, making batch processing sequential rather than parallel","No granular control over processing priority or resource allocation—cannot prioritize urgent videos in queue","Batch operations cannot be paused or resumed; interruption requires restarting entire job","No webhook or callback notifications; users must manually check status"],"requires":["Account with batch processing enabled (may require paid subscription)","Video files must be individually uploaded or linked (no folder/directory import)","Sufficient storage quota for output files"],"input_types":["multiple video files (up to batch size limit, typically 10-50 files)","CSV or JSON manifest with file paths and enhancement parameters"],"output_types":["processed video files (MP4 H.264)","batch processing report with per-file status and metadata"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_video-enhancer__cap_2","uri":"capability://image.visual.temporal.consistency.preservation.across.frame.sequences","name":"temporal consistency preservation across frame sequences","description":"Applies optical flow or frame interpolation techniques to maintain visual coherence between adjacent frames during upscaling, preventing flickering, ghosting, or temporal artifacts that commonly occur when applying per-frame super-resolution independently. The system analyzes motion vectors between frames and constrains the enhancement to respect temporal boundaries, ensuring smooth playback and consistent object tracking across the video.","intents":["I need to upscale video without introducing flickering or jittering between frames","I want to restore old footage while maintaining smooth motion and object continuity","I need to ensure enhanced video doesn't have temporal artifacts that distract viewers"],"best_for":["Documentarians and archivists restoring footage for broadcast or exhibition","Content creators working with action sequences or camera movement","Restoration professionals requiring broadcast-quality temporal stability"],"limitations":["Temporal consistency adds 20-40% processing overhead compared to frame-independent upscaling","High-motion sequences (fast pans, cuts) may still exhibit temporal inconsistencies due to optical flow estimation errors","Cannot recover motion information lost in original compression—only prevents introducing new temporal artifacts","Requires minimum frame rate of 24fps for effective optical flow analysis"],"requires":["Video with consistent frame rate (variable frame rate videos may produce artifacts)","Minimum 2-3 seconds of continuous footage for temporal context"],"input_types":["video files with frame rate metadata (24fps, 30fps, 60fps typical)"],"output_types":["video files with preserved temporal coherence and reduced flicker"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_video-enhancer__cap_3","uri":"capability://image.visual.compression.artifact.detection.and.targeted.removal","name":"compression artifact detection and targeted removal","description":"Uses convolutional neural networks trained on compressed video datasets to identify and selectively reduce block artifacts, banding, and color bleeding common in H.264/H.265 compressed footage. The system analyzes frequency domain characteristics and spatial patterns to distinguish compression artifacts from legitimate image detail, then applies targeted denoising to remove artifacts while preserving original content.","intents":["I have heavily compressed MP4 files with visible block artifacts and want to clean them up","I need to restore YouTube-compressed footage to near-original quality","I want to remove banding and color bleeding from old streaming video"],"best_for":["Content creators working with re-encoded or heavily compressed source material","Archivists restoring digitized video that was compressed during transfer","Streaming platform managers improving quality of user-generated content"],"limitations":["Cannot recover information permanently lost during compression—only reduces visual artifacts","Aggressive artifact removal may blur fine details or introduce over-smoothing","Effectiveness depends on compression codec and bitrate; very low bitrate (<500kbps) may be beyond recovery","No user control over artifact removal aggressiveness—applied uniformly across video"],"requires":["Video file in H.264 or H.265 codec (primary compression formats)","Minimum 480p resolution for artifact detection to function reliably"],"input_types":["compressed video files (MP4, MKV with H.264/H.265)"],"output_types":["video with reduced compression artifacts, improved color accuracy"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_video-enhancer__cap_4","uri":"capability://image.visual.motion.blur.reduction.through.frame.reconstruction","name":"motion blur reduction through frame reconstruction","description":"Analyzes motion blur patterns across frames using optical flow and applies selective sharpening or frame interpolation to reconstruct details obscured by motion. The system estimates motion vectors, identifies blurred regions, and reconstructs high-frequency information by synthesizing details from adjacent frames or applying motion-compensated deconvolution.","intents":["I have shaky or motion-blurred security footage and want to sharpen it","I need to restore fast-moving action sequences that are blurred from camera motion","I want to improve clarity of handheld camera footage without introducing artifacts"],"best_for":["Security and surveillance footage restoration","Action sports content creators working with high-motion footage","Archivists restoring handheld or unstabilized historical footage"],"limitations":["Cannot recover detail information that was never captured—only reconstructs from adjacent frames","High-motion sequences may produce ghosting or double-vision artifacts if optical flow estimation fails","Effectiveness limited by original frame rate; 24fps footage has less temporal information than 60fps","May introduce temporal inconsistencies if motion estimation is inaccurate"],"requires":["Video with sufficient frame rate (minimum 24fps recommended)","Motion blur must be from camera/subject movement, not from exposure time"],"input_types":["video files with motion blur (any codec)"],"output_types":["video with reduced motion blur and improved sharpness"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_video-enhancer__cap_5","uri":"capability://image.visual.noise.reduction.with.detail.preservation","name":"noise reduction with detail preservation","description":"Applies learned denoising filters (likely based on U-Net or similar architectures) trained on clean/noisy video pairs to reduce grain, sensor noise, and compression noise while preserving edges and fine details. The system uses multi-scale processing to distinguish noise from legitimate texture, applying aggressive denoising to flat regions and conservative filtering to detailed areas.","intents":["I have grainy old video and want to reduce noise without losing detail","I need to clean up low-light footage that has visible sensor noise","I want to improve the appearance of digitized film with grain"],"best_for":["Archivists restoring old film or video with visible grain","Content creators improving low-light footage quality","Restoration professionals balancing noise reduction with detail preservation"],"limitations":["Aggressive noise reduction may blur fine details or create a plastic appearance","Cannot distinguish between intentional film grain and noise—may over-smooth artistic grain","Effectiveness depends on noise type (Gaussian vs. Poisson); may be less effective on compression noise","No user control over denoising strength—applied uniformly across video"],"requires":["Video with visible noise (grain, sensor noise, or compression noise)","Minimum 480p resolution for effective multi-scale denoising"],"input_types":["video files with noise (any codec)"],"output_types":["video with reduced noise and preserved detail"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_video-enhancer__cap_6","uri":"capability://automation.workflow.freemium.output.quality.tiering.with.resolution.caps","name":"freemium output quality tiering with resolution caps","description":"Implements a subscription-based feature gating system that restricts free-tier users to 1080p maximum output resolution while paid tiers unlock 2K, 4K, and potentially 8K export capabilities. The system applies the same upscaling model to all tiers but enforces resolution limits at the output encoding stage, preventing free users from accessing higher-quality exports while maintaining identical processing quality for the resolution tier they're permitted.","intents":["I want to try video enhancement for free before committing to a paid plan","I need 4K output for professional content but want to test the service first","I'm looking for affordable video restoration without expensive professional software"],"best_for":["Casual users and hobbyists testing the service with low-stakes content","Small creators with budget constraints willing to accept 1080p output","Professionals evaluating the service before purchasing higher tiers"],"limitations":["1080p cap on free tier severely limits utility for modern 4K content creation","Free tier likely includes slower processing (CPU-only) compared to paid GPU acceleration","No upgrade path for in-progress jobs—must reprocess entire video at higher tier","Free tier may include watermarks or branding (though editorial notes it doesn't, which is unusual)"],"requires":["Free account for 1080p tier (no payment required)","Paid subscription for 4K+ output (pricing varies by tier)"],"input_types":["video files at any resolution"],"output_types":["video files capped at tier-specific resolution (1080p free, 4K+ paid)"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_video-enhancer__cap_7","uri":"capability://automation.workflow.cloud.based.asynchronous.video.processing.with.progress.tracking","name":"cloud-based asynchronous video processing with progress tracking","description":"Offloads video processing to cloud GPU infrastructure, accepting uploads via HTTP/HTTPS and returning processed videos asynchronously via download link or webhook callback. The system maintains per-job state (queued, processing, completed, failed), provides real-time progress updates (percentage complete, estimated time remaining), and stores outputs temporarily for user retrieval without requiring local GPU resources.","intents":["I want to enhance videos without needing expensive local GPU hardware","I need to process videos on my phone or low-power device","I want to start processing and check back later without keeping my computer on"],"best_for":["Users without local GPU hardware or high-end computers","Mobile-first users processing videos from phones or tablets","Teams needing centralized video processing without infrastructure investment"],"limitations":["Cloud processing adds network latency (upload/download) that can exceed local processing time for small videos","Free tier CPU-only processing takes 10+ minutes for 5-minute clips, making interactive workflows impractical","No local processing option—all videos must be uploaded to cloud, raising privacy concerns for sensitive content","Processing speed depends on cloud queue depth; peak hours may introduce multi-hour delays","Temporary storage of outputs means files are deleted after retention period (typically 7-30 days)"],"requires":["Internet connection with sufficient bandwidth for video upload/download","Account with VMake (free or paid)","Video file size within upload limits (typically 2-5GB per file)"],"input_types":["video files uploaded via web UI or API (MP4, MKV, WebM, MOV)"],"output_types":["processed video files available for download","processing status updates and progress tracking"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"low","permissions":["Video file in H.264, H.265, or VP9 codec (MP4, MKV, WebM supported)","Minimum 2GB free disk space for processing temporary files","Internet connection for cloud processing (no local GPU option on free tier)","Account with batch processing enabled (may require paid subscription)","Video files must be individually uploaded or linked (no folder/directory import)","Sufficient storage quota for output files","Video with consistent frame rate (variable frame rate videos may produce artifacts)","Minimum 2-3 seconds of continuous footage for temporal context","Video file in H.264 or H.265 codec (primary compression formats)","Minimum 480p resolution for artifact detection to function reliably"],"failure_modes":["Free tier caps output at 1080p maximum, preventing 4K restoration workflows","CPU-only processing on free tier takes 10+ minutes for 5-minute clips, making batch workflows impractical","No temporal consistency guarantees across frames—may introduce flickering or inconsistent enhancement between adjacent frames","Cannot selectively target specific artifact types (compression vs. motion blur); applies uniform enhancement strategy","Free tier likely limits concurrent jobs to 1 at a time, making batch processing sequential rather than parallel","No granular control over processing priority or resource allocation—cannot prioritize urgent videos in queue","Batch operations cannot be paused or resumed; interruption requires restarting entire job","No webhook or callback notifications; users must manually check status","Temporal consistency adds 20-40% processing overhead compared to frame-independent upscaling","High-motion sequences (fast pans, cuts) may still exhibit temporal inconsistencies due to optical flow estimation errors","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:34.117Z","last_scraped_at":"2026-04-05T13:23:42.559Z","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=video-enhancer","compare_url":"https://unfragile.ai/compare?artifact=video-enhancer"}},"signature":"3KsjoajW9bmL0KbQzDWSh8y9XdC80C3G4STgBu21qWVytfAAJ9dO9mRYE5VJ6w8cZz4ioO2FWdbKeWOthpngBQ==","signedAt":"2026-06-22T01:35:34.039Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/video-enhancer","artifact":"https://unfragile.ai/video-enhancer","verify":"https://unfragile.ai/api/v1/verify?slug=video-enhancer","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"}}