senseaudio-ttsBuild and debug SenseAudio text-to-speech integrations on `/v1/t2a_v2` and `/ws/v1/t2a_v2`, including sync HTTP, SSE stream, WebSocket event sequencing, hex...
Install via ClawdBot CLI:
clawdbot install scikkk/senseaudio-ttsGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.senseaudio.cn/v1/t2a_v2`Calls external URL not in known-safe list
https://senseaudio.cnAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Integrate SenseAudio TTS to generate real-time speech responses in chatbots or virtual assistants, using WebSocket for low-latency streaming to enhance user interaction. Suitable for customer service bots that require natural-sounding voice output with configurable voice parameters.
Use HTTP sync or SSE protocols to convert large text documents into audio files for audiobook production, allowing batch processing with voice selection for different characters or tones. Enables publishers to create accessible audio content efficiently.
Implement TTS to generate spoken explanations for online courses or training materials, using SSE for incremental audio delivery to sync with visual content. Supports multilingual voice options to cater to diverse learner audiences.
Deploy SenseAudio TTS in applications that convert text on websites or documents into speech, using HTTP sync for quick generation and error handling for reliable performance. Helps improve digital accessibility with customizable voice settings.
Offer SenseAudio TTS as a paid API service where developers pay per request or subscription for access to speech synthesis features. Revenue is generated from usage tiers, with premium plans for higher volume or advanced voice tuning options.
License the TTS technology to other companies for integration into their own products, such as call center software or educational platforms. Revenue comes from licensing fees and ongoing support contracts for customization and maintenance.
Provide a free tier with basic TTS functionality and limited voice options, while charging for advanced features like low-latency WebSocket streaming, additional voices, or priority support. Drives user adoption and upsells to paid plans.
💬 Integration Tip
Start with HTTP sync for simple use cases and add WebSocket for real-time needs, ensuring to handle hex audio decoding and error logging for production reliability.
Scored Apr 19, 2026
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Text-to-speech conversion using node-edge-tts npm package for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and subtitle generation. Use when: (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Start voice calls via the OpenClaw voice-call plugin.