{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-allvoicelab","slug":"allvoicelab","name":"AllVoiceLab","type":"mcp","url":"https://www.allvoicelab.com/mcp","page_url":"https://unfragile.ai/allvoicelab","categories":["mcp-servers"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-allvoicelab__cap_0","uri":"capability://text.generation.language.multilingual.text.to.speech.synthesis.with.emotional.expression","name":"multilingual text-to-speech synthesis with emotional expression","description":"Generates lifelike AI-synthesized speech from text input across 30+ languages using the proprietary MaskGCT model, which enables emotionally expressive and tonally varied speech synthesis. The system supports multiple speaking styles and tones per language, allowing developers to control prosody and emotional delivery without manual voice recording or post-processing. Integration occurs via MCP tool invocation with text input and audio file output.","intents":["Generate natural-sounding voiceovers for video content in multiple languages without hiring voice actors","Create accessible audio versions of text content with emotional nuance matching the original tone","Build multilingual voice interfaces for applications that require expressive speech synthesis","Automate dubbing workflows by synthesizing dialogue in target languages with consistent emotional delivery"],"best_for":["content creators and video producers building multilingual media","accessibility teams adding audio narration to text-heavy applications","developers building voice-enabled interfaces requiring emotional expression","localization teams automating dubbing for global distribution"],"limitations":["Emotional expression quality and fidelity unverified — marketing claims >90% fidelity but no independent benchmarks provided","Language support limited to 30+ languages; specific language list and tier support unknown","No documented control over speech rate, pitch range, or advanced prosody parameters","Processing latency and concurrent synthesis limits not documented","Output audio format specifications (bitrate, sample rate, codec) unknown"],"requires":["AllVoiceLab API key or MCP server authentication credentials","Text input in supported language (30+ languages claimed)","Network connectivity to AllVoiceLab backend services","Audio playback or storage capability on client side"],"input_types":["text (plain or formatted)","language code (ISO 639-1 or similar)","tone/style parameter (specific options unknown)"],"output_types":["audio file (format unknown — likely MP3, WAV, or OGG)","audio stream (if streaming mode supported)"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-allvoicelab__cap_1","uri":"capability://text.generation.language.voice.cloning.with.rapid.speaker.adaptation","name":"voice cloning with rapid speaker adaptation","description":"Clones a speaker's voice from a short audio sample (claimed to work in seconds) by extracting and encoding speaker characteristics including pitch, rhythm, and emotional tone, then applying those characteristics to new text-to-speech synthesis. The system operates as a write-once operation that produces new audio artifacts with the cloned voice characteristics applied. Implementation details of the speaker encoding mechanism are proprietary and undocumented.","intents":["Create personalized voiceovers using a specific speaker's voice without requiring that speaker to record new content","Maintain consistent voice identity across multilingual content by cloning a single speaker into multiple languages","Generate synthetic speech in a deceased or unavailable speaker's voice for archival or memorial content","Reduce voice actor costs by cloning a single professional voice for multiple projects"],"best_for":["content creators needing consistent voice branding across projects","production studios automating voice casting and dubbing workflows","accessibility teams personalizing text-to-speech for individual users","media companies managing voice talent budgets at scale"],"limitations":["Minimum audio sample length for cloning unknown — 'seconds to clone' is vague and unverified","Voice cloning fidelity claimed at >90% but no independent evaluation or failure modes documented","No documented handling of accented, non-native, or heavily processed source audio","Ethical guardrails for voice cloning (consent verification, misuse prevention) not documented","No information on whether cloned voices can be transferred between users or are account-locked","Processing time and resource requirements for cloning operation unknown"],"requires":["AllVoiceLab API key or MCP authentication","Audio sample of target speaker (format and minimum duration unknown)","Target text for synthesis in supported language","Compliance with AllVoiceLab terms regarding voice cloning use cases"],"input_types":["audio file (speaker sample — format unknown)","text (content to synthesize in cloned voice)","language code (target language for synthesis)"],"output_types":["audio file (synthesized speech in cloned voice)"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-allvoicelab__cap_2","uri":"capability://image.visual.real.time.voice.transformation.without.model.training","name":"real-time voice transformation without model training","description":"Transforms input audio by modifying voice characteristics (pitch, timbre, accent) in real-time or near-real-time without requiring speaker-specific model training or fine-tuning. The system accepts audio input and applies voice transformation rules or learned transformations to produce modified audio output. Specific transformation parameters and the underlying voice encoding mechanism are proprietary.","intents":["Change a speaker's voice characteristics in live or recorded audio without re-recording","Create voice variants for testing or A/B testing different voice presentations","Anonymize or disguise voices in audio content while maintaining intelligibility","Apply consistent voice modifications across multiple audio clips or projects"],"best_for":["audio engineers and producers needing quick voice modifications without re-recording","content creators experimenting with different voice presentations","privacy-focused applications requiring voice anonymization","entertainment and gaming studios creating voice variants for characters"],"limitations":["Transformation quality and naturalness unverified — no technical specifications or examples provided","Supported transformation types (pitch shift, timbre modification, accent change) not documented","No information on whether transformations preserve speaker identity or intelligibility","Real-time processing capability not verified — 'without setup' may mean offline batch processing","Audio quality degradation from transformation not documented","No control over transformation intensity or granularity documented"],"requires":["AllVoiceLab API key or MCP authentication","Audio input file (format and duration limits unknown)","Transformation parameters or preset selection (options unknown)"],"input_types":["audio file (source audio to transform)","transformation parameters (specific options unknown)"],"output_types":["audio file (transformed audio)"],"categories":["image-visual","audio-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-allvoicelab__cap_3","uri":"capability://image.visual.vocal.isolation.and.background.removal.from.audio","name":"vocal isolation and background removal from audio","description":"Extracts clean vocal tracks from mixed audio by applying source separation techniques to isolate voice from background music, noise, and other non-vocal elements. The system accepts audio input and produces isolated vocal and instrumental tracks as separate output files. Implementation uses neural source separation but specific model architecture and training data are proprietary.","intents":["Extract vocal tracks from songs or recordings for remixing, karaoke, or analysis","Remove background noise and music from speech recordings for transcription or analysis","Create instrumental versions of songs by removing vocals","Isolate dialogue from video soundtracks for dubbing or re-recording workflows"],"best_for":["music producers and audio engineers working with mixed recordings","content creators extracting dialogue from video for editing or translation","accessibility teams isolating speech for transcription or captioning","musicians and DJs creating remixes or instrumental versions"],"limitations":["Isolation quality and artifact levels not documented — no technical specifications or examples","Performance on heavily compressed or low-quality source audio unknown","Handling of polyphonic vocals (multiple singers) not documented","Processing time and file size limits not specified","Output audio format and quality specifications unknown","No control over isolation aggressiveness or artifact reduction documented"],"requires":["AllVoiceLab API key or MCP authentication","Audio input file (format and duration limits unknown)","Network connectivity for processing (if cloud-based)"],"input_types":["audio file (mixed audio with vocals and background)"],"output_types":["audio file (isolated vocal track)","audio file (isolated instrumental/background track)"],"categories":["image-visual","audio-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-allvoicelab__cap_4","uri":"capability://automation.workflow.end.to.end.video.dubbing.with.language.translation.and.voice.synthesis","name":"end-to-end video dubbing with language translation and voice synthesis","description":"Automates the complete video dubbing workflow by accepting video input, extracting dialogue, translating to target language(s), synthesizing new audio in target language with voice cloning or TTS, and re-synchronizing audio with video. The system orchestrates multiple sub-operations (transcription, translation, TTS, audio mixing, video re-encoding) into a single end-to-end pipeline. Specific translation engine and synchronization algorithm are undocumented.","intents":["Localize video content for global audiences by dubbing into multiple languages automatically","Reduce dubbing production costs by automating voice recording and synchronization","Create multilingual versions of educational or training videos without re-shooting","Enable rapid content distribution across language markets without manual dubbing workflows"],"best_for":["content creators and studios distributing video globally","educational platforms localizing courses for international audiences","entertainment companies automating dubbing for streaming platforms","corporate training teams creating multilingual training videos"],"limitations":["Translation quality and cultural adaptation not documented — no information on translation engine or quality assurance","Lip-sync accuracy and mouth movement adaptation not mentioned — may require manual adjustment","Support for multiple speakers and speaker identification not documented","Handling of background dialogue, overlapping speech, or music with lyrics unknown","Video format support and quality output specifications not provided","Processing time for full dubbing workflow not documented","No information on whether original audio is preserved or replaced entirely","Subtitle synchronization with new dubbed audio not mentioned"],"requires":["AllVoiceLab API key or MCP authentication","Video file (format and resolution limits unknown)","Target language(s) for dubbing (30+ languages claimed for TTS)","Source language specification for transcription and translation"],"input_types":["video file (format unknown — likely MP4, MOV, WebM)","target language code(s)","optional: voice cloning sample for consistent voice across dub"],"output_types":["video file (dubbed video with new audio track)","audio file (dubbed audio track separately)"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-allvoicelab__cap_5","uri":"capability://data.processing.analysis.automated.subtitle.extraction.and.time.alignment.from.video","name":"automated subtitle extraction and time-alignment from video","description":"Analyzes video input to detect, transcribe, and time-align subtitles with >98% accuracy claimed. The system performs optical character recognition (OCR) on video frames to identify hardcoded subtitles, transcribes their text content, and aligns timing with video timeline. Output includes subtitle file (SRT, VTT, or similar) with timing metadata. This is a read-only analysis operation that does not modify the video.","intents":["Extract hardcoded subtitles from video for editing, translation, or re-use in other projects","Create searchable subtitle files from video content for accessibility or indexing","Verify subtitle accuracy and timing without manual review","Automate subtitle preparation for video localization workflows"],"best_for":["video editors and producers extracting subtitles from existing content","accessibility teams creating subtitle files for video archives","localization teams preparing content for translation and re-dubbing","content platforms indexing video content for search and discovery"],"limitations":["Accuracy claim of >98% is unverified and context-dependent — performance on small text, multiple languages, or stylized fonts unknown","Handling of overlapping subtitles, fade-in/fade-out effects, or semi-transparent text not documented","Language support for OCR not specified — may be limited to Latin scripts","Performance on low-resolution or heavily compressed video unknown","Subtitle format output options not documented (SRT, VTT, ASS, etc.)","Timing accuracy and frame-rate handling not specified","No information on handling of burned-in vs. soft subtitles"],"requires":["AllVoiceLab API key or MCP authentication","Video file with visible hardcoded subtitles (format and resolution limits unknown)","Source language specification for OCR (if multi-language support exists)"],"input_types":["video file (format unknown — likely MP4, MOV, WebM, MKV)"],"output_types":["subtitle file (format unknown — likely SRT, VTT, or JSON)","timing metadata (frame numbers or timestamps)","confidence scores (if provided)"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-allvoicelab__cap_6","uri":"capability://image.visual.hardcoded.subtitle.removal.and.background.reconstruction","name":"hardcoded subtitle removal and background reconstruction","description":"Removes hardcoded (burned-in) subtitles from video by detecting subtitle regions and reconstructing background content using inpainting or content-aware fill techniques. The system accepts video input, identifies subtitle bounding boxes and timing, and generates new video frames with subtitles removed and backgrounds reconstructed. Output is a modified video file without visible subtitles. This is a write-once operation that produces a new video artifact.","intents":["Remove hardcoded subtitles from video for re-subtitling in different languages","Clean up video content for re-use or archival without subtitle overlays","Prepare video for new subtitle placement or styling","Enable video re-purposing by removing original subtitles for new localization"],"best_for":["video editors and producers preparing content for re-localization","content creators removing watermarks or old subtitles from archived video","localization teams preparing video for new subtitle placement","media companies managing video asset libraries"],"limitations":["Background reconstruction quality and artifact visibility not documented — inpainting quality depends on subtitle size and background complexity","Performance on complex backgrounds (patterns, text, moving elements) unknown","Handling of semi-transparent or anti-aliased subtitle edges not documented","Processing time and computational requirements not specified","Video quality degradation from reconstruction not documented","Output video format and quality specifications unknown","No information on whether original audio is preserved or modified","Handling of multiple subtitle tracks or overlapping subtitles unknown"],"requires":["AllVoiceLab API key or MCP authentication","Video file with visible hardcoded subtitles (format and resolution limits unknown)","Optional: subtitle timing information for precise removal (if available)"],"input_types":["video file (format unknown — likely MP4, MOV, WebM, MKV)"],"output_types":["video file (subtitle-removed video)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-allvoicelab__cap_7","uri":"capability://tool.use.integration.mcp.server.integration.for.agent.based.voice.and.video.workflows","name":"mcp server integration for agent-based voice and video workflows","description":"Exposes AllVoiceLab voice and video processing capabilities as an MCP (Model Context Protocol) server, enabling AI agents and LLM-based applications to invoke voice synthesis, cloning, isolation, and video dubbing operations as tool calls within agent reasoning loops. The MCP server abstracts underlying API complexity and provides standardized tool schemas for agent integration. Transport mechanism (stdio, SSE, HTTP) and authentication flow are undocumented.","intents":["Build AI agents that autonomously generate multilingual voiceovers or dub video content","Enable LLM-based applications to invoke voice synthesis and video processing as part of reasoning workflows","Create autonomous content localization pipelines that translate and dub video without human intervention","Integrate voice and video processing into multi-step agent workflows (e.g., transcribe → translate → dub → validate)"],"best_for":["AI agent developers building autonomous content creation or localization systems","LLM application builders integrating voice and video processing into agent workflows","teams building multi-step automation pipelines with voice/video operations","developers using Claude, GPT, or other LLM agents for content workflows"],"limitations":["MCP server specification and tool schemas not documented — integration requires reverse-engineering from live server or undocumented API","Transport mechanism (stdio, SSE, HTTP) not specified","Authentication flow and credential management not documented","Error handling and exception propagation to agents not specified","Tool invocation timeout and retry behavior unknown","Rate limiting and quota enforcement at MCP level not documented","No information on whether MCP server runs locally or requires cloud connectivity","Concurrent request handling and agent parallelization support unknown"],"requires":["AllVoiceLab API key or MCP authentication credentials","MCP client implementation (Claude SDK, LangChain, or custom)","Agent framework supporting MCP tool calling (Claude, LangChain agents, etc.)","Network connectivity to AllVoiceLab backend (if cloud-based MCP server)"],"input_types":["tool call invocations from agent (parameters depend on specific tool)"],"output_types":["tool result with audio/video file references or URLs","error messages or status updates"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-allvoicelab__cap_8","uri":"capability://automation.workflow.batch.audio.and.video.processing.with.asynchronous.job.orchestration","name":"batch audio and video processing with asynchronous job orchestration","description":"Supports batch processing of multiple audio or video files through asynchronous job submission and status polling. The system accepts batch input (multiple files or file lists), queues processing jobs, and provides job status tracking and result retrieval via polling or webhooks. Specific job queue implementation, concurrency limits, and result storage mechanism are undocumented.","intents":["Process large libraries of video content for dubbing or subtitle extraction without blocking on individual file processing","Automate batch voice synthesis for multiple text inputs or multiple languages","Create production pipelines that process hundreds or thousands of audio/video files efficiently","Integrate voice and video processing into CI/CD or scheduled batch workflows"],"best_for":["content studios and production companies processing large video libraries","localization teams automating dubbing for multiple projects simultaneously","platforms and services offering voice/video processing to end users","teams building scheduled or event-driven batch processing pipelines"],"limitations":["Batch API specification and job submission format not documented","Job status polling interval and webhook callback format unknown","Concurrency limits and queue depth not specified","Processing time estimates and SLAs not documented","Result storage duration and retrieval mechanism unknown","Error handling and partial failure modes not documented (e.g., if 1 of 100 files fails)","Batch size limits and file size limits per batch unknown","Cost model for batch processing not specified (per-file, per-minute, etc.)"],"requires":["AllVoiceLab API key or MCP authentication","Batch input format specification (unknown — likely JSON or CSV)","File storage or upload mechanism for batch inputs","Result retrieval mechanism (polling, webhooks, or file download)"],"input_types":["batch job specification (format unknown)","file list or file references (format unknown)","processing parameters per file (format unknown)"],"output_types":["job ID and status tracking information","result file references or URLs","processing status and error logs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["AllVoiceLab API key or MCP server authentication credentials","Text input in supported language (30+ languages claimed)","Network connectivity to AllVoiceLab backend services","Audio playback or storage capability on client side","AllVoiceLab API key or MCP authentication","Audio sample of target speaker (format and minimum duration unknown)","Target text for synthesis in supported language","Compliance with AllVoiceLab terms regarding voice cloning use cases","Audio input file (format and duration limits unknown)","Transformation parameters or preset selection (options unknown)"],"failure_modes":["Emotional expression quality and fidelity unverified — marketing claims >90% fidelity but no independent benchmarks provided","Language support limited to 30+ languages; specific language list and tier support unknown","No documented control over speech rate, pitch range, or advanced prosody parameters","Processing latency and concurrent synthesis limits not documented","Output audio format specifications (bitrate, sample rate, codec) unknown","Minimum audio sample length for cloning unknown — 'seconds to clone' is vague and unverified","Voice cloning fidelity claimed at >90% but no independent evaluation or failure modes documented","No documented handling of accented, non-native, or heavily processed source audio","Ethical guardrails for voice cloning (consent verification, misuse prevention) not documented","No information on whether cloned voices can be transferred between users or are account-locked","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.43,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.370Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=allvoicelab","compare_url":"https://unfragile.ai/compare?artifact=allvoicelab"}},"signature":"5V2msPRmqhcVfJr4aC1T0yjaiLYQTwifuFM7a0bK7r+5CYV6uASKFeyeLMHJ76I/bc27OeSy/PYCSZF6irTWDw==","signedAt":"2026-06-22T05:38:10.708Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/allvoicelab","artifact":"https://unfragile.ai/allvoicelab","verify":"https://unfragile.ai/api/v1/verify?slug=allvoicelab","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"}}