inworld
Inworld TTS API. Covers voice cloning, audio markups, timestamps. Use when integrating Inworld text-to-speech, cloning voices, adding audio markups (SSML-like), or aligning viseme timestamps. Keywords: Inworld, text-to-speech, TTS, voice cloning, visemes.
What this skill does
# Inworld AI
Text-to-Speech platform with voice cloning, audio markups, and timestamp alignment.
## Quick Navigation
| Topic | Reference |
| ------------- | ----------------------------------------------- |
| Installation | [installation.md](references/installation.md) |
| Voice Cloning | [cloning.md](references/cloning.md) |
| Voice Control | [voice-control.md](references/voice-control.md) |
| API Reference | [api.md](references/api.md) |
## When to Use
- Text-to-speech audio generation
- Voice cloning from 5-15 seconds of audio
- Emotion-controlled speech (`[happy]`, `[sad]`, etc.)
- Word/phoneme timestamps for lip sync
- Custom pronunciation with IPA
## Models
| Model | ID | Latency | Price |
| ------------ | ---------------------- | ------- | ----------- |
| TTS-2 | `inworld-tts-2` | latest | see pricing |
| TTS 1.5 Max | `inworld-tts-1.5-max` | legacy | legacy |
| TTS 1.5 Mini | `inworld-tts-1.5-mini` | legacy | legacy |
## Minimal Example
```python
import requests, base64, os
response = requests.post(
"https://api.inworld.ai/tts/v1/voice",
headers={"Authorization": f"Basic {os.getenv('INWORLD_API_KEY')}"},
json={"text": "Hello!", "voiceId": "Ashley", "modelId": "inworld-tts-1.5-max"}
)
audio = base64.b64decode(response.json()['audioContent'])
```
## Key Features
- **15 languages** — en, zh, ja, ko, ru, it, es, pt, fr, de, pl, nl, hi, he, ar
- **Instant cloning** — 5-15 seconds audio, no training
- **Audio markups** — `[happy]`, `[laughing]`, `[sigh]` (English only)
- **Timestamps** — word, phoneme, viseme timing for lip sync
- **Streaming** — `/voice:stream` endpoint
- **TTS-2 steering** — natural-language bracketed directions such as `[say excitedly]` or `[whisper in a hushed style]`
- **Delivery mode** — `STABLE`, `BALANCED`, `CREATIVE` trade consistency for emotional range
- **Cross-lingual synthesis** — reuse one voice across multiple languages; voice localization improves native-sounding output
## Release Highlights (TTS-2)
- `Realtime TTS-2` becomes the new primary model line via `modelId="inworld-tts-2"`.
- Steering moves beyond the older fixed emotion tags: free-form bracketed directions can control style, pitch, speed, intensity, and non-verbals.
- Multilingual coverage expands with production quality across 15 languages and broader experimental coverage beyond that.
- `deliveryMode` adds a stability-vs-creativity knob, and specifying `language` matters more for cross-lingual output quality.
## Prohibitions
- Audio markups work **only in English**
- Use **ONE** emotion markup at text **beginning**
- Match voice language to text language
- Instant cloning may not work for children's voices or unique accents
## Links
- [Documentation](https://docs.inworld.ai/docs/tts/tts)
- [Changelog](https://docs.inworld.ai/docs/release-notes/tts)
- [Platform](https://platform.inworld.ai/)
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.