{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_radionewsai","slug":"radionewsai","name":"RadioNewsAI","type":"product","url":"https://radionewsai.com","page_url":"https://unfragile.ai/radionewsai","categories":["voice-audio"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_radionewsai__cap_0","uri":"capability://text.generation.language.contextual.news.to.speech.synthesis.with.prosodic.modeling","name":"contextual news-to-speech synthesis with prosodic modeling","description":"Converts written news articles into natural-sounding broadcast audio by analyzing semantic content to apply contextually appropriate emphasis, pacing, and intonation patterns. The system likely employs neural text-to-speech (TTS) with prosody prediction models that detect story importance, sentiment, and narrative structure to modulate speech rate, pitch, and pause duration — moving beyond phoneme-level synthesis to discourse-level delivery. This addresses the robotic monotone problem by treating news reading as a linguistic performance task rather than simple phoneme concatenation.","intents":["I want to convert news scripts into broadcast-quality audio that sounds like a professional anchor, not a robot reading word-by-word","I need my news delivery to emphasize important facts and maintain listener engagement through natural pacing and intonation","I want to automate news reading without sacrificing the emotional tone and delivery nuance that makes content compelling"],"best_for":["Small and mid-market radio stations lacking full-time anchor staff","Community broadcasters needing 24/7 programming automation","Station managers seeking to reduce labor costs while maintaining content quality"],"limitations":["Cannot replicate spontaneous ad-libs, station-specific catchphrases, or real-time commentary that human anchors provide","Prosody modeling may struggle with highly ambiguous or context-dependent emphasis (e.g., sarcasm, breaking news urgency)","Latency for synthesis may introduce delays in live-to-tape workflows; unclear if real-time streaming is supported","No support for multi-speaker dialogue or interview format content"],"requires":["Written news content in plain text or structured format (likely plain text or markdown)","Active RadioNewsAI subscription with API access or web interface","Audio playback infrastructure compatible with MP3 or WAV output formats"],"input_types":["plain text (news scripts)","structured news articles (likely with headline/body separation)"],"output_types":["audio file (MP3 or WAV format)","broadcast-ready audio stream"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_radionewsai__cap_1","uri":"capability://text.generation.language.voice.personality.customization.and.station.branding","name":"voice personality customization and station branding","description":"Allows radio stations to select or train custom voice profiles that align with station identity, target audience demographics, and brand positioning. The system likely maintains a library of pre-trained voice models (male, female, age range, accent, tone) and may support fine-tuning on station-specific audio samples to create a consistent, recognizable anchor persona. This enables stations to maintain brand consistency across multiple daily broadcasts and create listener familiarity without hiring talent.","intents":["I want my news anchor voice to match my station's brand identity and appeal to my target demographic","I need consistent voice delivery across all news segments so listeners recognize and trust the anchor personality","I want to customize the anchor's tone (authoritative, friendly, conversational) to match my station's positioning"],"best_for":["Independent radio stations building distinctive brand identities","Community broadcasters seeking to create listener loyalty through consistent on-air personalities","Multi-station operators needing different voice profiles for different formats or markets"],"limitations":["Voice customization likely limited to pre-trained model selection rather than true voice cloning from arbitrary audio samples","Fine-tuning on station-specific samples may require minimum audio duration (unknown threshold) and could introduce training latency","No support for dynamic voice switching mid-broadcast or per-segment voice variation","Voice models may not capture regional accents or highly specialized pronunciation requirements"],"requires":["RadioNewsAI subscription with voice customization tier (pricing tier unclear)","Optional: audio samples of desired voice characteristics (if fine-tuning is supported)","Station branding guidelines or reference materials for voice selection"],"input_types":["voice model selection (from predefined library)","optional audio samples for fine-tuning (WAV or MP3)"],"output_types":["customized voice profile identifier","broadcast audio with applied voice personality"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_radionewsai__cap_2","uri":"capability://data.processing.analysis.automated.news.content.ingestion.and.formatting","name":"automated news content ingestion and formatting","description":"Accepts news content from various sources (manual input, news feeds, CMS integration) and automatically formats it for optimal TTS processing by parsing article structure, extracting headlines, body text, and metadata. The system likely normalizes text (expands abbreviations, handles numbers and dates, removes formatting artifacts) and may apply news-domain-specific rules (e.g., proper pronunciation of proper nouns, station call letters, local references). This preprocessing step ensures consistent, broadcast-ready output without manual script editing.","intents":["I want to feed news content directly from my news source or CMS without manually reformatting scripts","I need abbreviations, numbers, and dates automatically converted to spoken form (e.g., '5G' → 'five G', '2024' → 'twenty twenty-four')","I want to ensure proper pronunciation of local place names, business names, and station identifiers without manual intervention"],"best_for":["Radio stations with existing news workflows or CMS systems","Broadcasters using news wire services (AP, Reuters) or RSS feeds","Multi-station operators seeking to automate content pipeline from source to broadcast"],"limitations":["Integration with specific CMS platforms or news feeds likely limited to documented connectors (unclear which platforms supported)","Abbreviation expansion and number-to-speech conversion may fail on domain-specific or non-standard abbreviations","No support for complex formatting (tables, bullet points, embedded media references) — likely requires plain text input","Proper noun pronunciation handling may require manual pronunciation dictionary configuration per station"],"requires":["News content in plain text, HTML, or RSS format","Optional: API credentials for news feed integration (if supported)","Optional: pronunciation dictionary or phonetic guide for local proper nouns"],"input_types":["plain text news scripts","HTML articles","RSS feeds","CMS content (platform-dependent)"],"output_types":["normalized text ready for TTS","structured metadata (headline, body, source)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_radionewsai__cap_3","uri":"capability://automation.workflow.batch.news.generation.and.scheduling","name":"batch news generation and scheduling","description":"Enables stations to generate multiple news segments in batch mode and schedule them for automated broadcast at specified times, likely through a scheduling engine that queues synthesis jobs and coordinates playback with station automation systems. The system probably supports recurring schedules (hourly news blocks, morning/evening broadcasts) and may integrate with broadcast automation software (e.g., Zetta, RCS, Broadcast Electronics) via API or file-based exchange. This capability allows stations to pre-generate content for 24/7 programming without manual intervention.","intents":["I want to generate news for my entire day's broadcast schedule in advance without manual triggering","I need hourly news updates to be automatically generated and queued for playback at scheduled times","I want to integrate RadioNewsAI with my existing broadcast automation system so news plays seamlessly in my programming"],"best_for":["24/7 radio stations needing continuous automated news generation","Multi-format stations with recurring news block schedules","Stations using broadcast automation software seeking to automate news content insertion"],"limitations":["Batch processing latency unclear — may not support real-time or near-real-time generation for breaking news scenarios","Integration with broadcast automation systems likely limited to documented connectors (unclear which platforms supported)","Scheduling may not support complex rules (e.g., conditional news blocks based on content availability or station events)","No support for dynamic content updates mid-schedule — likely requires regeneration of affected segments"],"requires":["RadioNewsAI subscription with batch/scheduling features","Optional: API credentials for broadcast automation system integration","News content source with predictable update schedule"],"input_types":["news content batch (multiple articles)","schedule definition (time, frequency, duration)"],"output_types":["queued synthesis jobs","broadcast-ready audio files with metadata","integration with broadcast automation system"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_radionewsai__cap_4","uri":"capability://text.generation.language.multi.format.news.segment.generation","name":"multi-format news segment generation","description":"Supports generation of different news segment types (headlines, full stories, weather, sports, traffic) with format-specific delivery styles and durations. The system likely maintains templates or style profiles for each segment type that apply appropriate pacing, emphasis, and audio structure (e.g., headlines delivered faster with higher energy, weather delivered with specific pronunciation rules for locations and conditions). This enables stations to create varied, engaging news programming rather than uniform content delivery.","intents":["I want to generate headline-only news segments for quick updates and full-story segments for deeper coverage","I need weather and sports segments to be delivered with appropriate emphasis and pronunciation (e.g., temperature units, team names)","I want my news programming to feel varied and engaging rather than monotonous by using different delivery styles for different segment types"],"best_for":["News-focused radio stations with diverse programming formats","Stations seeking to create engaging news blocks with varied segment types","Broadcasters needing specialized handling for weather, sports, and traffic content"],"limitations":["Supported segment types likely limited to predefined categories (headlines, stories, weather, sports, traffic) — no custom segment type definition","Specialized content handling (weather pronunciation, sports team names) may require manual configuration or dictionary updates","No support for dynamic segment selection based on content availability or listener preferences","Segment duration control may be limited to predefined templates rather than flexible time-based generation"],"requires":["RadioNewsAI subscription with multi-format support","News content categorized by segment type (headline, story, weather, sports, traffic)","Optional: pronunciation dictionaries for specialized content (weather locations, sports teams)"],"input_types":["news content with segment type classification","segment-specific metadata (duration, emphasis level)"],"output_types":["audio segments with format-specific delivery style","segment metadata (duration, type, content summary)"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_radionewsai__cap_5","uri":"capability://data.processing.analysis.voice.quality.and.naturalness.optimization","name":"voice quality and naturalness optimization","description":"Applies post-synthesis audio processing and quality optimization to ensure broadcast-ready output with minimal artifacts, likely including audio normalization, compression, equalization, and artifact removal. The system may employ neural audio enhancement techniques to smooth prosody transitions, eliminate synthesis artifacts (clicks, pops, unnatural pauses), and ensure consistent loudness levels across segments. This processing pipeline ensures that synthetic audio meets broadcast technical standards and listener expectations for audio quality.","intents":["I want my synthetic news audio to sound natural and professional, without synthesis artifacts or robotic qualities","I need consistent audio levels and quality across all news segments so they integrate seamlessly into my broadcast","I want to ensure my synthetic audio meets broadcast technical standards (loudness, frequency response, dynamic range)"],"best_for":["Radio stations with high listener expectations for audio quality","Broadcasters seeking to minimize listener perception of synthetic audio","Stations needing broadcast-compliant audio without additional post-processing"],"limitations":["Audio enhancement quality likely varies based on input content complexity and synthesis engine limitations","Post-processing may introduce latency, affecting real-time or near-real-time generation workflows","No support for custom audio processing profiles or advanced audio engineering (e.g., multiband compression, surgical EQ)","Artifact removal may fail on particularly challenging synthesis outputs or non-standard voice models"],"requires":["RadioNewsAI synthesis output (audio file or stream)","Broadcast technical standards documentation (loudness targets, frequency response requirements)"],"input_types":["raw TTS audio output"],"output_types":["broadcast-ready audio file (MP3 or WAV)","audio quality metrics (loudness, dynamic range)"],"categories":["data-processing-analysis","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"low","permissions":["Written news content in plain text or structured format (likely plain text or markdown)","Active RadioNewsAI subscription with API access or web interface","Audio playback infrastructure compatible with MP3 or WAV output formats","RadioNewsAI subscription with voice customization tier (pricing tier unclear)","Optional: audio samples of desired voice characteristics (if fine-tuning is supported)","Station branding guidelines or reference materials for voice selection","News content in plain text, HTML, or RSS format","Optional: API credentials for news feed integration (if supported)","Optional: pronunciation dictionary or phonetic guide for local proper nouns","RadioNewsAI subscription with batch/scheduling features"],"failure_modes":["Cannot replicate spontaneous ad-libs, station-specific catchphrases, or real-time commentary that human anchors provide","Prosody modeling may struggle with highly ambiguous or context-dependent emphasis (e.g., sarcasm, breaking news urgency)","Latency for synthesis may introduce delays in live-to-tape workflows; unclear if real-time streaming is supported","No support for multi-speaker dialogue or interview format content","Voice customization likely limited to pre-trained model selection rather than true voice cloning from arbitrary audio samples","Fine-tuning on station-specific samples may require minimum audio duration (unknown threshold) and could introduce training latency","No support for dynamic voice switching mid-broadcast or per-segment voice variation","Voice models may not capture regional accents or highly specialized pronunciation requirements","Integration with specific CMS platforms or news feeds likely limited to documented connectors (unclear which platforms supported)","Abbreviation expansion and number-to-speech conversion may fail on domain-specific or non-standard abbreviations","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"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":"2026-05-24T12:16:32.438Z","last_scraped_at":"2026-04-05T13:23:42.551Z","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=radionewsai","compare_url":"https://unfragile.ai/compare?artifact=radionewsai"}},"signature":"z1QX7u5lgGC74ERl8pHHnmC2KVPMrPo42kUwKr7g160cvj32Z8KySwT0Dr21WTIZLvm7+yz7Gsqgii8U6W3JAw==","signedAt":"2026-06-21T18:32:19.352Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/radionewsai","artifact":"https://unfragile.ai/radionewsai","verify":"https://unfragile.ai/api/v1/verify?slug=radionewsai","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"}}