{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_reliv","slug":"reliv","name":"Reliv","type":"product","url":"https://reliv.ai","page_url":"https://unfragile.ai/reliv","categories":["video-generation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_reliv__cap_0","uri":"capability://image.visual.ai.driven.automated.video.editing.and.scene.detection","name":"ai-driven automated video editing and scene detection","description":"Analyzes raw video footage using computer vision and temporal segmentation models to automatically identify scene boundaries, transitions, and key moments, then applies intelligent cuts and edits without manual timeline manipulation. The system appears to use frame-level analysis combined with audio-visual synchronization to detect natural break points and generate edited sequences that maintain narrative flow while reducing content duration.","intents":["I need to quickly trim and edit 50+ hours of raw footage into polished 2-3 minute promotional clips without spending days in post-production","I want to automatically remove dead air, long pauses, and redundant segments from interview or presentation recordings","I need to generate multiple cut lengths (30s, 60s, 90s versions) from the same source material for different platforms"],"best_for":["Content agencies producing high-volume promotional or internal communication videos","Enterprise teams managing recurring video content (earnings calls, training materials, product demos)","Solo creators and small production houses lacking dedicated post-production staff"],"limitations":["No transparency on model architecture or training data — unclear if system handles complex narrative structures or only straightforward cuts","Output consistency not publicly documented — may require manual review and adjustment for broadcast-quality standards","Limited control over editing style and pacing — appears to apply generic optimization rather than style-aware editing","Likely struggles with creative transitions, color grading, or effects that require artistic intent beyond structural editing"],"requires":["Video file in common format (MP4, MOV, WebM — specific codec support unknown)","Minimum video duration and resolution thresholds (not publicly specified)","Active Reliv subscription with API access or web dashboard"],"input_types":["video files (raw footage, unedited recordings)","video metadata (optional: scene markers, speaker labels, timestamps)"],"output_types":["edited video files (MP4 or similar)","edit decision list (EDL) or timeline data","scene boundary timestamps with confidence scores"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_reliv__cap_1","uri":"capability://data.processing.analysis.automated.speech.to.text.transcription.with.speaker.diarization","name":"automated speech-to-text transcription with speaker diarization","description":"Converts video audio tracks to searchable text transcripts while simultaneously identifying and labeling distinct speakers throughout the recording. The system likely uses deep learning-based ASR (automatic speech recognition) combined with speaker embedding models to distinguish between multiple voices, enabling downstream applications like caption generation, content indexing, and speaker-specific editing.","intents":["I need accurate transcripts of multi-speaker videos (interviews, panel discussions, meetings) with speaker labels for compliance and searchability","I want to automatically generate captions that identify who is speaking at each moment for accessibility and SEO","I need to index video content by speaker and topic so teams can search across video libraries by 'find all clips where Sarah discusses pricing'"],"best_for":["Enterprises managing large video archives requiring full-text search and compliance documentation","Content creators producing interview-based or multi-speaker content for accessibility compliance (ADA, WCAG)","Teams needing to repurpose video content into blog posts, social clips, or knowledge bases"],"limitations":["Speaker diarization accuracy degrades with overlapping speech, background noise, or heavy accents — no public benchmarks provided","Likely optimized for English; support for other languages and multilingual content unknown","No mention of real-time transcription — appears to be batch processing only","Accuracy on technical terminology, proper nouns, or domain-specific jargon not documented"],"requires":["Video with clear audio track (mono, stereo, or multi-channel)","Minimum audio quality threshold (likely 16kHz sample rate, though specs not public)","Active Reliv subscription"],"input_types":["video files with audio","audio files (WAV, MP3, AAC — specific formats unknown)"],"output_types":["plain text transcript","SRT or VTT subtitle files with speaker labels","JSON with timestamps, speaker IDs, and confidence scores","searchable transcript index"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_reliv__cap_2","uri":"capability://text.generation.language.automated.caption.and.subtitle.generation.with.styling","name":"automated caption and subtitle generation with styling","description":"Generates timed subtitle files (SRT, VTT, or proprietary format) from transcribed audio with automatic caption segmentation, line-breaking, and optional styling (fonts, colors, positioning). The system likely uses the transcription output combined with timing information and readability heuristics to create captions that respect reading speed constraints (typically 150-180 words per minute) and visual composition rules.","intents":["I need to add captions to all our videos for accessibility and social media (TikTok, Instagram require captions for sound-off viewing)","I want to generate multiple caption styles (burned-in hardcoded captions vs. soft subtitles) for different distribution channels","I need captions in multiple languages for international audiences without manually timing translations"],"best_for":["Content creators and agencies producing social media video content where captions are critical for engagement","Enterprises requiring ADA/WCAG accessibility compliance across video libraries","Global teams distributing content in multiple languages"],"limitations":["Automatic line-breaking and segmentation may not respect natural speech pauses or semantic boundaries — may require manual adjustment","Styling options appear limited (no mention of custom fonts, positioning, or animation effects)","No support for speaker-specific styling or color-coding mentioned","Translation quality for non-English captions depends on underlying translation model — likely lower quality than human translation"],"requires":["Completed transcript or audio input","Target caption format (SRT, VTT, or platform-specific format)","Active Reliv subscription"],"input_types":["transcript text with timestamps","video file with audio","styling preferences (optional)"],"output_types":["SRT subtitle files","VTT subtitle files","Burned-in video with hardcoded captions","JSON caption data with timing and styling metadata"],"categories":["text-generation-language","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_reliv__cap_3","uri":"capability://memory.knowledge.centralized.video.asset.management.and.metadata.indexing","name":"centralized video asset management and metadata indexing","description":"Provides a unified repository for storing, organizing, and retrieving video files with automatic metadata extraction (duration, resolution, codec, creation date) and full-text searchability across transcripts, titles, and tags. The system likely uses a document-based or graph database to index video properties and associated metadata, enabling multi-dimensional filtering and cross-asset discovery without manual cataloging.","intents":["I need a single source of truth for all our video assets so teams can find and reuse existing content instead of re-shooting","I want to search across 1000+ videos by speaker, topic, or keyword to find clips for repurposing into social media or blog content","I need to track video versions, approvals, and usage rights across a distributed team without email chains and spreadsheets"],"best_for":["Mid-to-large enterprises with 100+ video assets requiring governance and discoverability","Content agencies managing client video libraries and repurposing workflows","Marketing teams needing to quickly locate and remix existing footage for campaigns"],"limitations":["No mention of version control or revision history — unclear if system tracks edits and maintains asset lineage","Access control and permission management not documented — may lack granular role-based access for sensitive content","Storage capacity and retention policies not specified — unclear if there are limits on archive size or automatic deletion","Integration with external DAMs (Digital Asset Management systems) or cloud storage (S3, Google Drive) not mentioned"],"requires":["Active Reliv subscription with storage tier","Video files in supported formats (specific formats not publicly listed)","Metadata input (optional: custom tags, descriptions, speaker names)"],"input_types":["video files","metadata (titles, descriptions, tags, speaker names)","search queries (text-based)"],"output_types":["video file downloads","metadata records (JSON or CSV export)","search results with relevance ranking","asset usage reports"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_reliv__cap_4","uri":"capability://automation.workflow.batch.video.processing.and.multi.format.export","name":"batch video processing and multi-format export","description":"Enables processing of multiple video files in parallel with configurable output specifications (resolution, codec, bitrate, frame rate) and simultaneous export to multiple formats and destinations. The system likely uses a job queue and distributed processing architecture to handle high-volume transcoding and editing operations without blocking the UI, with progress tracking and error handling for failed jobs.","intents":["I need to convert 100 raw video files to multiple formats (1080p MP4, 720p WebM, mobile-optimized H.265) in one batch operation","I want to automatically export edited videos to YouTube, Vimeo, and our internal server simultaneously with platform-specific settings","I need to generate multiple cut lengths (30s, 60s, 90s, 2min) from the same source for A/B testing across social platforms"],"best_for":["Content agencies and studios producing high-volume video content with multiple distribution channels","Enterprises automating video distribution workflows across internal and external platforms","Teams needing to repurpose single source videos into multiple formats for different devices and networks"],"limitations":["No mention of real-time progress updates or webhook notifications — unclear if system supports async job monitoring","Export destination options not documented — may be limited to cloud storage or specific platforms","Codec and bitrate optimization likely uses generic presets rather than content-aware encoding","No mention of batch scheduling or off-peak processing — may incur costs during peak hours"],"requires":["Multiple video files in supported formats","Export destination credentials (cloud storage, YouTube API key, etc. — specifics unknown)","Active Reliv subscription with batch processing tier"],"input_types":["video files (batch upload or folder import)","export specifications (resolution, codec, bitrate, format)","destination configuration (URLs, API credentials)"],"output_types":["multiple video files in different formats","batch processing report (success/failure status per file)","export logs with timing and file size information"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_reliv__cap_5","uri":"capability://image.visual.ai.powered.content.repurposing.and.clip.extraction","name":"ai-powered content repurposing and clip extraction","description":"Automatically identifies and extracts high-value segments from longer videos based on engagement heuristics, topic relevance, or speaker prominence, then generates short-form clips optimized for specific platforms (TikTok, Instagram Reels, YouTube Shorts). The system likely uses a combination of scene detection, audio analysis, and learned patterns about viral content to score and rank potential clips.","intents":["I have a 60-minute webinar and need to automatically extract 10-15 shareable 15-30 second clips for social media without manual review","I want to identify the most engaging moments in interview footage (where the speaker is animated, topic changes, or audience reacts) for highlight reels","I need to repurpose long-form content into platform-specific formats (vertical for TikTok, square for Instagram, 16:9 for YouTube) automatically"],"best_for":["Content creators and agencies producing high-volume social media content from longer-form sources","Marketing teams needing to maximize reach by distributing content across multiple platforms with minimal manual editing","Influencers and creators managing multiple content streams without dedicated editing staff"],"limitations":["Engagement heuristics and clip selection criteria not documented — unclear if system uses viewer data, sentiment analysis, or generic rules","No control over clip selection or ability to manually override AI choices mentioned","Likely optimized for entertainment and promotional content; may perform poorly on technical, educational, or narrative-driven material","Platform-specific optimization (aspect ratio, duration, captions) may not account for platform algorithm changes or audience preferences"],"requires":["Source video (minimum duration not specified, likely 5+ minutes)","Target platform specifications (aspect ratio, duration limits)","Active Reliv subscription"],"input_types":["long-form video file","platform target (TikTok, Instagram, YouTube, etc.)","optional: engagement metrics or manual clip markers"],"output_types":["short-form video clips (multiple per source)","clip metadata (start/end timestamps, suggested captions, platform recommendations)","platform-optimized video files (vertical, square, or landscape)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_reliv__cap_6","uri":"capability://text.generation.language.multi.language.translation.and.localization.for.video.content","name":"multi-language translation and localization for video content","description":"Automatically translates transcripts and generates dubbed or subtitled versions of videos in multiple target languages using neural machine translation and text-to-speech synthesis. The system likely uses a translation API (Google Translate, DeepL, or proprietary model) combined with voice synthesis to create localized versions while maintaining timing synchronization with the original video.","intents":["I need to localize our product demo video into 10 languages for international markets without hiring translators and voice actors","I want to generate subtitle-only versions in multiple languages while keeping the original audio, then create dubbed versions with synthetic voices","I need to ensure translated captions match the video timing and don't exceed line-length constraints for readability"],"best_for":["Global enterprises distributing content across multiple regions and languages","SaaS companies localizing product demos and onboarding videos for international customers","Content creators and agencies serving multilingual audiences without localization budgets"],"limitations":["Translation quality depends on underlying translation model — likely lower quality than human translation, especially for nuanced or technical content","Synthetic voice quality and accent selection not documented — may sound robotic or use generic accents that don't match target audience","Lip-sync accuracy for dubbed versions likely poor — system probably doesn't adjust video timing to match translated audio duration","Cultural adaptation and localization beyond translation (e.g., currency, units, references) not mentioned","Limited language support — likely covers major languages (Spanish, French, German, Mandarin) but not smaller or regional languages"],"requires":["Source video with transcript or audio","Target languages (list of supported languages not public)","Active Reliv subscription"],"input_types":["video file with audio","transcript text","target language codes (ISO 639-1 or similar)"],"output_types":["translated transcripts (text)","subtitle files in target languages (SRT, VTT)","dubbed video files with synthetic audio","localization metadata (language, voice, timing adjustments)"],"categories":["text-generation-language","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_reliv__cap_7","uri":"capability://tool.use.integration.workflow.automation.and.api.integration.for.video.processing.pipelines","name":"workflow automation and api integration for video processing pipelines","description":"Exposes REST or webhook-based APIs to trigger video processing workflows programmatically, enabling integration with external tools (CMS, marketing automation, video hosting platforms) and custom automation scripts. The system likely supports webhook notifications for job completion, allowing downstream systems to automatically ingest processed videos or metadata without manual intervention.","intents":["I want to automatically process videos uploaded to our CMS, generate captions, and publish to YouTube without manual steps","I need to trigger video editing and export workflows from our marketing automation platform when campaigns are launched","I want to build a custom integration that monitors an S3 bucket, processes new videos with Reliv, and syncs results back to our DAM"],"best_for":["Development teams building custom video processing workflows and integrations","Enterprises with complex video pipelines requiring orchestration across multiple tools","Teams using headless CMS or API-first architectures"],"limitations":["API documentation and endpoint specifications not publicly available — unclear what operations are supported","Authentication method (API keys, OAuth, JWT) not documented","Rate limiting and quota policies not specified — unclear if there are limits on concurrent jobs or API calls","Webhook retry logic and failure handling not documented","No mention of SDK availability (Python, Node.js, etc.) — may require raw HTTP requests"],"requires":["API key or authentication credentials from Reliv","HTTP client library or SDK (if available)","Webhook endpoint for receiving notifications (optional)","Active Reliv subscription with API access tier"],"input_types":["JSON request body with video URL or file reference","processing parameters (editing rules, export formats, language targets)","webhook URL for notifications"],"output_types":["JSON response with job ID and status","webhook notifications with processing results","processed video URLs or file references","metadata and processing logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Video file in common format (MP4, MOV, WebM — specific codec support unknown)","Minimum video duration and resolution thresholds (not publicly specified)","Active Reliv subscription with API access or web dashboard","Video with clear audio track (mono, stereo, or multi-channel)","Minimum audio quality threshold (likely 16kHz sample rate, though specs not public)","Active Reliv subscription","Completed transcript or audio input","Target caption format (SRT, VTT, or platform-specific format)","Active Reliv subscription with storage tier","Video files in supported formats (specific formats not publicly listed)"],"failure_modes":["No transparency on model architecture or training data — unclear if system handles complex narrative structures or only straightforward cuts","Output consistency not publicly documented — may require manual review and adjustment for broadcast-quality standards","Limited control over editing style and pacing — appears to apply generic optimization rather than style-aware editing","Likely struggles with creative transitions, color grading, or effects that require artistic intent beyond structural editing","Speaker diarization accuracy degrades with overlapping speech, background noise, or heavy accents — no public benchmarks provided","Likely optimized for English; support for other languages and multilingual content unknown","No mention of real-time transcription — appears to be batch processing only","Accuracy on technical terminology, proper nouns, or domain-specific jargon not documented","Automatic line-breaking and segmentation may not respect natural speech pauses or semantic boundaries — may require manual adjustment","Styling options appear limited (no mention of custom fonts, positioning, or animation effects)","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":"2026-05-24T12:16:33.094Z","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=reliv","compare_url":"https://unfragile.ai/compare?artifact=reliv"}},"signature":"nvgNnRMGr6Fw6+m4EmCQoN5fpR9NUUQnfRT4pi75/ypsLRGh/Qs2kRVzI+W9ru4rm1ikPwSzClfYijRMnyv5Bw==","signedAt":"2026-06-21T09:02:35.505Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/reliv","artifact":"https://unfragile.ai/reliv","verify":"https://unfragile.ai/api/v1/verify?slug=reliv","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"}}