{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_2short-ai","slug":"2short-ai","name":"2short.ai","type":"product","url":"https://2short.ai","page_url":"https://unfragile.ai/2short-ai","categories":["video-generation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_2short-ai__cap_0","uri":"capability://image.visual.automatic.highlight.extraction.from.long.form.video","name":"automatic-highlight-extraction-from-long-form-video","description":"Analyzes long-form video content (20-60 minutes) using computer vision and audio analysis to identify and extract compelling moments, then segments them into short-form clips. The system likely uses scene detection, audio intensity analysis, and possibly speech recognition to score segments by engagement potential, then automatically trims and sequences the highest-scoring moments into vertical format.","intents":["I want to automatically find the best moments in my 45-minute podcast episode without watching it all again","I need to extract 5-10 short clips from my long-form YouTube video in one click","I want to identify where the most interesting talking points occur in my recorded stream"],"best_for":["YouTube creators with large back catalogs of long-form content","Podcast hosts looking to repurpose episodes into social clips","Busy content creators who lack time for manual frame-by-frame editing"],"limitations":["AI moment selection frequently misses contextually important or nuanced content, requiring 30-50% manual curation to avoid awkward cuts","Cannot understand subjective humor, sarcasm, or cultural references that make moments compelling","Performance degrades on videos with poor audio quality, heavy background music, or multiple speakers","No ability to detect visual elements like on-screen graphics, text overlays, or B-roll that enhance engagement"],"requires":["YouTube account with video upload permissions","Video file or YouTube URL (MP4, MOV, or direct YouTube link)","Minimum video length of 5 minutes for meaningful extraction","Internet connection for cloud processing"],"input_types":["video file (MP4, MOV, WebM)","YouTube URL","video duration metadata"],"output_types":["segmented video clips (vertical format, 9:16 aspect ratio)","timestamp markers for extracted moments","clip metadata (duration, suggested title)"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_2short-ai__cap_1","uri":"capability://image.visual.vertical.format.video.reframing.with.aspect.ratio.conversion","name":"vertical-format-video-reframing-with-aspect-ratio-conversion","description":"Automatically converts landscape (16:9) video segments into vertical (9:16) short-form format suitable for TikTok, Instagram Reels, and YouTube Shorts. The system applies intelligent cropping, pan-and-zoom effects, or letterboxing strategies to preserve important visual content while adapting to mobile-first viewing. May use face detection or object tracking to keep subjects centered during reframing.","intents":["I need to convert my horizontal YouTube video clips into vertical format for TikTok without losing the speaker's face","I want to automatically reframe my landscape footage to fill a phone screen without black bars","I need to batch-convert 50 horizontal clips to vertical format while keeping important visual elements in frame"],"best_for":["Content creators repurposing horizontal footage for vertical platforms","Teams managing multi-platform distribution workflows","Creators who want automated reframing without learning manual pan-and-zoom techniques"],"limitations":["Intelligent cropping can accidentally cut off important visual elements (e.g., on-screen text, secondary speakers) if face detection fails","Zoom effects may appear jarring or unnatural if applied to static talking-head footage","Cannot intelligently handle split-screen content or complex multi-subject compositions","Letterboxing strategy wastes screen real estate on mobile devices"],"requires":["Video segment in landscape orientation (16:9 or wider)","Minimum 720p resolution for acceptable vertical output quality","Processing time: ~1-2 minutes per minute of video"],"input_types":["video segment (landscape orientation)","aspect ratio target (9:16 for shorts)"],"output_types":["vertical video file (9:16 aspect ratio)","reframed video with applied zoom/pan effects"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_2short-ai__cap_2","uri":"capability://text.generation.language.ai.generated.subtitle.and.caption.overlay.application","name":"ai-generated-subtitle-and-caption-overlay-application","description":"Automatically generates captions from video audio using speech-to-text, then applies styled text overlays to video frames. The system likely uses a speech recognition API (Whisper or similar) to transcribe audio, then renders captions with timing synchronization. Styling options appear limited based on editorial feedback, suggesting basic font/color controls rather than advanced animation or positioning.","intents":["I want to add auto-generated captions to my short clips without manually timing each subtitle","I need captions that sync perfectly with the audio in my extracted moments","I want to apply consistent caption styling across all my generated shorts"],"best_for":["Creators who need captions for accessibility and engagement","Content creators working with multiple languages or accents","Teams needing consistent caption branding across shorts"],"limitations":["Limited subtitle customization compared to CapCut or Premiere — likely only basic font, color, and size options","No advanced caption animation, positioning, or dynamic styling (e.g., word-by-word highlighting)","Speech recognition errors on accented speech, background noise, or technical jargon require manual correction","No support for multi-language captions or speaker identification (e.g., different colors per speaker)","Caption placement may overlap with important visual content if not manually adjusted"],"requires":["Clear audio track with intelligible speech","Video with synchronized audio (not separate audio file)","Internet connection for speech-to-text processing"],"input_types":["video file with audio track","caption styling preferences (font, color, size)"],"output_types":["video with embedded caption overlays","caption timing metadata (SRT or VTT format)"],"categories":["text-generation-language","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_2short-ai__cap_3","uri":"capability://tool.use.integration.one.click.youtube.direct.upload.and.publishing","name":"one-click-youtube-direct-upload-and-publishing","description":"Enables direct integration with YouTube's upload API to publish generated shorts directly to a channel without manual download-and-reupload steps. The system authenticates via OAuth, handles video encoding/optimization for YouTube's specifications, and likely manages metadata (title, description, tags) based on the source video. Supports batch uploading of multiple shorts in sequence.","intents":["I want to generate a short and publish it to my YouTube channel without downloading and re-uploading manually","I need to batch-upload 10 generated shorts to my channel in one workflow","I want to automatically populate shorts with titles and descriptions derived from the original video"],"best_for":["YouTube creators managing high-volume shorts publishing","Teams automating content distribution workflows","Creators who want to minimize friction between generation and publishing"],"limitations":["Requires YouTube account authentication and API permissions — may fail if account has 2FA or restricted API access","Batch uploads may hit YouTube rate limits if processing too many videos in rapid succession","No scheduling capability — shorts publish immediately rather than queuing for optimal posting times","Metadata auto-population may be generic or inaccurate, requiring manual editing post-upload","No A/B testing or thumbnail customization before publishing"],"requires":["YouTube account with channel ownership or manager permissions","OAuth authentication with YouTube Data API v3 scopes","Video must meet YouTube Shorts specifications (vertical, <60 seconds, 9:16 aspect ratio)","Internet connection for upload"],"input_types":["generated short video file","metadata (title, description, tags, visibility setting)"],"output_types":["published YouTube Short URL","video ID and publishing confirmation"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_2short-ai__cap_4","uri":"capability://automation.workflow.freemium.quota.based.video.processing.with.monthly.export.limits","name":"freemium-quota-based-video-processing-with-monthly-export-limits","description":"Implements a freemium pricing model with monthly quotas on video exports, allowing free users to test core functionality (extract and reformat shorts) with a limited number of monthly exports before requiring paid subscription. The system tracks usage per account and enforces quota limits at export time, likely using a simple counter mechanism tied to user authentication.","intents":["I want to test 2short.ai on a few videos before committing to a paid plan","I need to understand if this tool works for my content before investing money","I want to generate a few shorts per month for free without paying"],"best_for":["Bootstrapped creators with limited budgets","Content creators evaluating tools before purchase","Small channels testing shorts strategy before scaling"],"limitations":["Free tier quota is insufficient for high-volume creators (exact limits not specified in available data)","Quota resets monthly, creating artificial workflow constraints for creators with variable publishing schedules","No rollover of unused quota to next month — unused exports are forfeited","Paid tier pricing and feature differences not detailed, creating friction in upgrade decision-making"],"requires":["Free account creation (email or OAuth)","No credit card required for free tier","Monthly quota resets on account anniversary or calendar month"],"input_types":["user account tier (free or paid)","monthly export count"],"output_types":["quota status (exports remaining)","upgrade prompt when quota exceeded"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_2short-ai__cap_5","uri":"capability://automation.workflow.batch.processing.of.channel.back.catalog.with.bulk.extraction","name":"batch-processing-of-channel-back-catalog-with-bulk-extraction","description":"Enables processing of multiple long-form videos from a YouTube channel in a single batch operation, extracting shorts from each video sequentially or in parallel. The system likely queues videos for processing, manages state across multiple extractions, and aggregates results for bulk review and publishing. Integration with YouTube's channel data allows discovery and processing of entire back catalogs without manual URL entry.","intents":["I want to process my entire YouTube channel back catalog (50+ videos) to extract shorts without doing each video individually","I need to generate shorts from all my old videos in one batch operation overnight","I want to repurpose my entire video library into shorts without manual intervention for each video"],"best_for":["Established YouTube creators with substantial back catalogs","Channels looking to maximize content ROI by repurposing existing videos","Teams managing multiple channels needing bulk processing"],"limitations":["Batch processing time scales linearly with video count — processing 100 videos may take 5-10 hours depending on video length","No granular control over extraction parameters per video — all videos processed with same settings","Batch results may require significant manual curation if AI moment selection is inconsistent across videos","No progress tracking or pause/resume capability — interruption requires restarting entire batch","Storage and organization of hundreds of generated shorts may overwhelm user interface"],"requires":["YouTube channel with 5+ videos for meaningful batch processing","OAuth authentication with YouTube Data API for channel access","Sufficient account quota to cover all extractions","Processing time: ~2-5 minutes per video depending on length"],"input_types":["YouTube channel URL or authenticated channel ID","optional filters (date range, video length, playlist)"],"output_types":["batch job ID and processing status","list of generated shorts with metadata","bulk publishing queue"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["YouTube account with video upload permissions","Video file or YouTube URL (MP4, MOV, or direct YouTube link)","Minimum video length of 5 minutes for meaningful extraction","Internet connection for cloud processing","Video segment in landscape orientation (16:9 or wider)","Minimum 720p resolution for acceptable vertical output quality","Processing time: ~1-2 minutes per minute of video","Clear audio track with intelligible speech","Video with synchronized audio (not separate audio file)","Internet connection for speech-to-text processing"],"failure_modes":["AI moment selection frequently misses contextually important or nuanced content, requiring 30-50% manual curation to avoid awkward cuts","Cannot understand subjective humor, sarcasm, or cultural references that make moments compelling","Performance degrades on videos with poor audio quality, heavy background music, or multiple speakers","No ability to detect visual elements like on-screen graphics, text overlays, or B-roll that enhance engagement","Intelligent cropping can accidentally cut off important visual elements (e.g., on-screen text, secondary speakers) if face detection fails","Zoom effects may appear jarring or unnatural if applied to static talking-head footage","Cannot intelligently handle split-screen content or complex multi-subject compositions","Letterboxing strategy wastes screen real estate on mobile devices","Limited subtitle customization compared to CapCut or Premiere — likely only basic font, color, and size options","No advanced caption animation, positioning, or dynamic styling (e.g., word-by-word highlighting)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.25,"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":"2026-05-24T12:16:28.696Z","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=2short-ai","compare_url":"https://unfragile.ai/compare?artifact=2short-ai"}},"signature":"b40F9rF8+I4a+vlQObjqmVSLNOTXc+Xa0xgfHohRea4kcTiNTgdvnZyRTxOLKJ4MT8pFSPXkgwF3i0/s5NxeCQ==","signedAt":"2026-06-22T02:49:47.412Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/2short-ai","artifact":"https://unfragile.ai/2short-ai","verify":"https://unfragile.ai/api/v1/verify?slug=2short-ai","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"}}