{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_holovolo","slug":"holovolo","name":"Holovolo","type":"product","url":"https://holovolo.tv","page_url":"https://unfragile.ai/holovolo","categories":["video-generation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_holovolo__cap_0","uri":"capability://image.visual.vr180.volumetric.video.capture.and.synthesis","name":"vr180 volumetric video capture and synthesis","description":"Converts 2D video or image inputs into stereoscopic VR180 format (180-degree field of view) optimized for immersive headsets and holographic displays. The system uses depth estimation and view synthesis algorithms to generate left/right eye perspectives from single-camera or multi-view source material, enabling creators to produce spatial video content without specialized volumetric capture rigs or multi-camera arrays.","intents":["I want to convert my existing 2D video footage into VR180 format for Meta Quest 3 or Apple Vision Pro without owning volumetric capture equipment","I need to create stereoscopic 3D content from standard video sources for immersive playback","I want to produce spatial video content that works on emerging holographic display devices"],"best_for":["AR/VR developers building spatial computing experiences","Independent creators experimenting with volumetric content without capital investment in capture hardware","Metaverse content producers targeting Vision Pro and Quest 3 ecosystems"],"limitations":["Output is locked to VR180 format — not easily repurposable for 2D video, social media, or traditional 360-degree VR","Depth estimation from monocular sources may produce artifacts in complex scenes with occlusions or transparent objects","Processing time and quality depend on source material resolution and motion complexity","No support for real-time streaming — batch processing only"],"requires":["Video file in common formats (MP4, MOV, WebM) or image sequences","Minimum 720p resolution recommended for acceptable output quality","Web browser with WebGL 2.0 support or compatible VR headset for preview"],"input_types":["video files (MP4, MOV, WebM)","image sequences (PNG, JPEG)","live camera feed (via browser)"],"output_types":["VR180 video files (MP4 with stereo encoding)","Side-by-side or over-under stereoscopic formats","Holographic display-optimized formats"],"categories":["image-visual","spatial-computing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_1","uri":"capability://image.visual.hologram.generation.from.2d.media","name":"hologram generation from 2d media","description":"Transforms 2D images, video, or 3D models into holographic representations suitable for display on spatial computing devices and holographic projection systems. The system applies volumetric rendering and depth-aware compositing to create the illusion of floating 3D objects that can be viewed from multiple angles, with automatic optimization for target display hardware (Meta Quest 3, Apple Vision Pro, holographic displays).","intents":["I want to convert a product photo or video into a hologram for spatial commerce or product visualization","I need to create floating 3D character or object representations for metaverse applications","I want to display my 2D content as a hologram without learning 3D modeling software"],"best_for":["E-commerce platforms integrating spatial product visualization","Metaverse creators building immersive avatar and object libraries","Marketing and advertising teams producing spatial content for Vision Pro and Quest 3"],"limitations":["Hologram quality depends on source material — 2D images produce less convincing 3D illusions than true volumetric captures","No support for complex physics simulation or real-time interaction — holograms are pre-rendered and static","Limited to devices with spatial computing capabilities; no fallback for traditional 2D displays","File size and processing time scale with hologram resolution and complexity"],"requires":["2D image (PNG, JPEG) or video file (MP4, MOV) as source","Target device specification (Quest 3, Vision Pro, or generic holographic display)","Minimum 512x512 resolution for acceptable hologram quality"],"input_types":["2D images (PNG, JPEG, WebP)","video files (MP4, MOV, WebM)","3D model files (GLTF, FBX, OBJ)"],"output_types":["Holographic model files (device-specific formats)","Volumetric video with depth channels","Spatial asset bundles for metaverse platforms"],"categories":["image-visual","spatial-computing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_10","uri":"capability://automation.workflow.cloud.based.rendering.and.gpu.acceleration","name":"cloud-based rendering and gpu acceleration","description":"Offloads computationally intensive operations (depth estimation, view synthesis, rendering) to cloud-based GPU infrastructure, enabling fast processing of high-resolution content without requiring local hardware. The system uses distributed rendering to parallelize processing across multiple GPUs, with automatic load balancing and resource allocation based on job complexity and queue depth.","intents":["I want to process 4K VR180 videos without owning expensive GPU hardware","I need to convert large video libraries quickly using cloud compute resources","I want to avoid local storage and processing bottlenecks by leveraging cloud infrastructure"],"best_for":["Individual creators and small studios without GPU infrastructure","Content platforms processing user-generated VR180 content at scale","Teams seeking to minimize capital investment in compute hardware"],"limitations":["Cloud processing introduces latency — no real-time feedback on job progress","Network bandwidth may be bottleneck for uploading/downloading large video files","Cloud processing costs scale with video resolution and processing complexity","Data privacy concerns — source content is uploaded to external servers","Dependent on cloud service availability — outages block processing"],"requires":["Internet connection with sufficient bandwidth for video upload/download","Cloud service account with API credentials","Storage quota for input and output files"],"input_types":["video files (MP4, MOV, WebM, AVI)","image sequences (PNG, JPEG)","processing configuration (JSON)"],"output_types":["Processed VR180 video files","Processing logs and diagnostics","Job status reports"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_2","uri":"capability://image.visual.real.time.vr180.preview.and.spatial.composition","name":"real-time vr180 preview and spatial composition","description":"Provides an interactive web-based editor for composing and previewing VR180 content in real-time, with support for spatial placement of objects, adjustment of depth parameters, and live stereo visualization. The editor uses WebGL-based rendering to display stereoscopic previews and integrates with VR headsets via WebXR API for immersive in-headset editing and validation before final export.","intents":["I want to preview my VR180 content in stereo before exporting to check for depth artifacts or composition issues","I need to adjust depth maps and spatial parameters interactively without waiting for re-processing","I want to compose multiple elements (video, holograms, text) into a single VR180 scene"],"best_for":["VR content creators iterating on spatial composition and depth parameters","Developers prototyping VR180 experiences for Quest 3 and Vision Pro","Teams validating spatial content quality before production deployment"],"limitations":["Preview quality may differ from final export due to real-time rendering optimizations","WebXR support limited to compatible browsers and headsets (Chrome/Edge on Windows, Safari on iOS)","No support for real-time physics or interactive elements — composition is static","Latency in stereo rendering may cause discomfort in extended editing sessions"],"requires":["Modern web browser with WebGL 2.0 support (Chrome 90+, Firefox 88+, Safari 15+)","VR headset with WebXR support for in-headset preview (optional but recommended)","Stable internet connection for cloud-based processing"],"input_types":["VR180 video files","depth maps (grayscale images)","3D model files (GLTF, FBX)","spatial parameter configurations (JSON)"],"output_types":["Stereo preview renders (WebGL canvas)","Adjusted depth maps and spatial parameters","Composition metadata for export pipeline"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_3","uri":"capability://image.visual.automatic.depth.estimation.and.stereo.view.synthesis","name":"automatic depth estimation and stereo view synthesis","description":"Uses deep learning models (monocular depth estimation networks) to infer 3D geometry from single 2D images or video frames, then synthesizes left/right eye perspectives for stereoscopic VR180 output. The system handles temporal coherence across video frames to prevent flickering and applies view-dependent effects (parallax, occlusion handling) to create convincing stereo illusions without explicit 3D model construction.","intents":["I want to convert a single-camera video into stereoscopic VR180 without owning multi-camera rigs or depth sensors","I need to generate stereo pairs from 2D footage while maintaining temporal stability across frames","I want to create depth-aware stereo content from photos or video clips automatically"],"best_for":["Content creators with existing 2D video libraries seeking to repurpose for VR180","Developers building automated volumetric content pipelines","Teams prototyping spatial content without capital investment in capture hardware"],"limitations":["Depth estimation accuracy degrades in scenes with transparent objects, reflections, or extreme motion","Stereo synthesis artifacts may appear at occlusion boundaries or in complex geometric regions","Processing time scales with video resolution and length — 4K video may require hours of computation","No support for dynamic depth adjustment per-frame — depth maps are generated once and applied uniformly","Temporal flickering may occur in regions with ambiguous depth (e.g., thin structures, hair)"],"requires":["2D video or image sequence in standard format (MP4, MOV, PNG, JPEG)","GPU with CUDA or Metal support for accelerated depth estimation (CPU fallback available but slow)","Minimum 2GB VRAM for processing HD content; 8GB+ recommended for 4K"],"input_types":["video files (MP4, MOV, WebM, AVI)","image sequences (PNG, JPEG, WebP)","single images (PNG, JPEG)"],"output_types":["Depth maps (single-channel grayscale or multi-channel formats)","Stereo video pairs (side-by-side, over-under, or interleaved)","Disparity maps for view synthesis"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_4","uri":"capability://image.visual.device.optimized.vr180.export.and.format.conversion","name":"device-optimized vr180 export and format conversion","description":"Automatically optimizes and exports VR180 content for specific target devices (Meta Quest 3, Apple Vision Pro, generic holographic displays) by applying device-specific codec selection, resolution scaling, and spatial audio encoding. The system handles format conversion between internal representations and device-native formats (e.g., HEVC for Vision Pro, H.264 for Quest 3), with automatic bitrate optimization to balance quality and file size.","intents":["I want to export my VR180 content optimized for Meta Quest 3 without manually configuring codec and resolution settings","I need to generate multiple device-specific versions of the same content for distribution across platforms","I want to ensure my VR180 video plays correctly on Apple Vision Pro with proper spatial audio and format compatibility"],"best_for":["VR content creators distributing to multiple spatial computing platforms","Metaverse platforms ingesting VR180 content from diverse creators","Developers automating content pipeline for multi-device deployment"],"limitations":["Export time scales with output resolution and bitrate — 4K 60fps exports may require 30+ minutes","No support for custom codec parameters — optimization is automatic and non-configurable","Device-specific optimizations may not be available for emerging or niche spatial displays","File size can be large (1-5GB for 4K VR180 video) — requires robust storage and delivery infrastructure"],"requires":["Completed VR180 composition or depth-estimated video","Target device specification (Quest 3, Vision Pro, or generic)","Sufficient disk space for output files (2-5x source video size)"],"input_types":["VR180 video files (internal format)","Depth maps and stereo parameters","Spatial audio tracks (optional)"],"output_types":["Device-optimized video files (H.264, HEVC, VP9)","Spatial audio tracks (Dolby Atmos, Ambisonics)","Metadata files for platform ingestion (JSON, XML)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_5","uri":"capability://automation.workflow.batch.processing.and.pipeline.automation","name":"batch processing and pipeline automation","description":"Enables automated processing of multiple video or image files through the VR180 conversion pipeline without manual intervention, with support for queuing, progress tracking, and error handling. The system uses a job-based architecture to distribute processing across available compute resources, with checkpointing to resume interrupted jobs and logging for debugging failed conversions.","intents":["I want to convert a library of 100+ videos to VR180 format overnight without manually processing each one","I need to integrate Holovolo into my content production pipeline to automatically convert uploads to VR180","I want to process videos at scale with automatic retry and error reporting"],"best_for":["Content platforms and metaverse services ingesting user-generated VR180 content","Production studios with large video libraries to convert","Developers building automated content pipelines"],"limitations":["Batch processing is asynchronous — no real-time feedback on individual job progress","Queue depth and processing speed depend on platform capacity — may have wait times during peak usage","Failed jobs require manual investigation and resubmission — no automatic retry with parameter adjustment","No support for conditional processing (e.g., skip if depth estimation confidence is low)"],"requires":["Multiple video or image files in supported formats","API key or authentication token for batch job submission","Webhook endpoint or polling mechanism for job status updates (optional)"],"input_types":["video files (MP4, MOV, WebM, AVI)","image sequences (PNG, JPEG)","batch configuration files (JSON, CSV)"],"output_types":["Processed VR180 video files","Job status reports (JSON)","Error logs and diagnostics"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_6","uri":"capability://image.visual.spatial.audio.encoding.and.immersive.soundscape.generation","name":"spatial audio encoding and immersive soundscape generation","description":"Encodes spatial audio (Ambisonics, object-based audio) alongside VR180 video to create immersive soundscapes that respond to viewer head movement and spatial position. The system can extract or generate spatial audio from stereo or mono sources, apply head-tracking-aware audio rendering, and encode in formats compatible with spatial computing platforms (Dolby Atmos, Sony 360 Reality Audio).","intents":["I want to add spatial audio to my VR180 video that responds to viewer head movement","I need to convert stereo audio into Ambisonics or object-based spatial audio for immersive playback","I want to generate immersive soundscapes that enhance the spatial presence of my VR180 content"],"best_for":["VR content creators building fully immersive experiences with audio-visual synchronization","Metaverse platforms requiring spatial audio for presence and immersion","Audio engineers and sound designers working with spatial computing content"],"limitations":["Spatial audio generation from mono/stereo sources is approximate — lacks true directional information","Encoding and decoding adds latency and computational overhead","Not all spatial audio formats are supported on all devices (e.g., Dolby Atmos limited to premium devices)","No support for real-time interactive audio — soundscapes are pre-rendered and static"],"requires":["Audio track in standard format (WAV, MP3, AAC, FLAC)","Target spatial audio format (Ambisonics, Dolby Atmos, Sony 360 Reality Audio)","Optional: spatial audio metadata or head-tracking data for enhanced rendering"],"input_types":["mono audio (WAV, MP3, AAC)","stereo audio (WAV, MP3, AAC)","Ambisonics files (B-format WAV)","spatial audio metadata (JSON)"],"output_types":["Ambisonics audio (B-format or higher-order)","Object-based audio (Dolby Atmos, Sony 360 Reality Audio)","Head-tracking-aware audio streams","Spatial audio metadata"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_7","uri":"capability://image.visual.ai.powered.scene.understanding.and.automatic.depth.refinement","name":"ai-powered scene understanding and automatic depth refinement","description":"Uses semantic segmentation and scene understanding models to identify objects, surfaces, and spatial relationships in source images/video, then applies targeted depth refinement to improve accuracy in specific regions (e.g., faces, hands, thin structures). The system can detect and correct common depth estimation artifacts (e.g., floating hair, disconnected limbs) through learned priors about object geometry and physics.","intents":["I want to improve depth estimation accuracy for human subjects or specific objects in my video","I need to automatically fix depth artifacts (floating hair, disconnected limbs) without manual editing","I want the system to understand scene context and apply appropriate depth priors for better results"],"best_for":["Content creators working with human subjects or complex scenes requiring high-quality depth","Developers building production-grade volumetric content pipelines","Teams seeking to reduce manual depth map editing and refinement"],"limitations":["Scene understanding models have limited accuracy on novel or unusual objects","Artifact correction is heuristic-based and may fail on edge cases (e.g., transparent objects, extreme poses)","Processing time increases significantly with scene complexity and number of refinement passes","No support for user-guided refinement — corrections are fully automatic"],"requires":["Source video or image with clear subject and background separation","GPU with sufficient VRAM for semantic segmentation models (4GB+ recommended)","Scenes with recognizable objects or humans for effective scene understanding"],"input_types":["video files (MP4, MOV, WebM)","images (PNG, JPEG)","depth maps (grayscale images)"],"output_types":["Refined depth maps with artifact correction","Semantic segmentation masks","Confidence maps indicating refinement quality"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_8","uri":"capability://image.visual.multi.view.synthesis.and.view.interpolation","name":"multi-view synthesis and view interpolation","description":"Generates intermediate viewpoints between stereo pairs or multiple source views using neural view synthesis techniques, enabling smooth parallax effects and wider viewing angles in VR180 content. The system can interpolate novel views from sparse input (e.g., 2-3 camera angles) to create the illusion of continuous 3D geometry, with support for temporal consistency across video frames.","intents":["I want to create smooth parallax effects in VR180 by synthesizing intermediate views from stereo pairs","I need to expand the effective viewing angle of my VR180 content beyond the original 180 degrees","I want to convert sparse multi-camera footage into dense view coverage for immersive playback"],"best_for":["VR content creators seeking enhanced parallax and depth perception","Developers building high-fidelity volumetric experiences","Teams with multi-camera capture setups seeking to maximize view coverage"],"limitations":["View synthesis quality degrades with large baseline distances between source views","Artifacts may appear in disoccluded regions (areas visible in synthesized view but not in source)","Processing time scales quadratically with number of interpolated views","No support for dynamic objects or fast motion — synthesis assumes static scenes"],"requires":["Stereo pair or multiple source views with known camera calibration","Depth maps or disparity information for source views","GPU with sufficient VRAM for neural rendering (8GB+ recommended)"],"input_types":["stereo video pairs (side-by-side or over-under)","multi-view video sequences (3+ synchronized camera feeds)","depth maps for each view","camera calibration parameters (intrinsics, extrinsics)"],"output_types":["Interpolated view sequences","Expanded VR180 video with enhanced parallax","Confidence maps for synthesized regions"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_holovolo__cap_9","uri":"capability://image.visual.interactive.3d.object.placement.and.composition.in.vr180.scenes","name":"interactive 3d object placement and composition in vr180 scenes","description":"Provides tools for placing, scaling, rotating, and positioning 3D objects (models, holograms, text) within VR180 scenes using spatial coordinates and depth-aware snapping. The system supports real-time preview of object placement with automatic occlusion handling, shadow casting, and lighting adjustments to ensure objects integrate naturally with background video. Objects can be animated with keyframe-based motion or physics simulation.","intents":["I want to place 3D product models or holograms into my VR180 video scene at specific spatial locations","I need to compose multiple elements (video, objects, text) into a single immersive scene with proper depth ordering","I want to animate objects moving through the VR180 space with realistic lighting and shadows"],"best_for":["E-commerce creators building spatial product visualization experiences","Metaverse content creators composing complex immersive scenes","Marketing teams producing interactive spatial advertisements"],"limitations":["Object lighting and shadows are approximated — may not perfectly match background video lighting","Physics simulation is simplified and may not handle complex interactions (e.g., cloth, fluids)","No support for real-time user interaction — scenes are pre-composed and static","Occlusion handling assumes static background — moving objects in background may cause clipping"],"requires":["3D model files (GLTF, FBX, OBJ) for objects to place","VR180 background video or image","Depth map or camera calibration for spatial reference"],"input_types":["3D model files (GLTF, FBX, OBJ, USD)","VR180 video or image backgrounds","animation keyframe data (JSON, FBX)","spatial coordinate specifications (JSON)"],"output_types":["Composite VR180 video with placed objects","Scene composition metadata (JSON)","Object animation tracks"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"low","permissions":["Video file in common formats (MP4, MOV, WebM) or image sequences","Minimum 720p resolution recommended for acceptable output quality","Web browser with WebGL 2.0 support or compatible VR headset for preview","2D image (PNG, JPEG) or video file (MP4, MOV) as source","Target device specification (Quest 3, Vision Pro, or generic holographic display)","Minimum 512x512 resolution for acceptable hologram quality","Internet connection with sufficient bandwidth for video upload/download","Cloud service account with API credentials","Storage quota for input and output files","Modern web browser with WebGL 2.0 support (Chrome 90+, Firefox 88+, Safari 15+)"],"failure_modes":["Output is locked to VR180 format — not easily repurposable for 2D video, social media, or traditional 360-degree VR","Depth estimation from monocular sources may produce artifacts in complex scenes with occlusions or transparent objects","Processing time and quality depend on source material resolution and motion complexity","No support for real-time streaming — batch processing only","Hologram quality depends on source material — 2D images produce less convincing 3D illusions than true volumetric captures","No support for complex physics simulation or real-time interaction — holograms are pre-rendered and static","Limited to devices with spatial computing capabilities; no fallback for traditional 2D displays","File size and processing time scale with hologram resolution and complexity","Cloud processing introduces latency — no real-time feedback on job progress","Network bandwidth may be bottleneck for uploading/downloading large video files","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"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":"2026-05-24T12:16:30.893Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=holovolo","compare_url":"https://unfragile.ai/compare?artifact=holovolo"}},"signature":"iRCQ9+EVplfH8EZPaWKvxcw2E/pEO7lIiP77fnSt4HTC7oad0jMWgGtFvNkC0A6gTaC2eQcgMH3Qaww9NOr1AA==","signedAt":"2026-06-20T15:15:40.078Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/holovolo","artifact":"https://unfragile.ai/holovolo","verify":"https://unfragile.ai/api/v1/verify?slug=holovolo","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"}}