MOSS-TTS
6.8#138 in text-to-speech toolsWebAPILinuxmacOS
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| Fact | MOSS-TTS | Resemble AI |
|---|---|---|
| API | MOSI's developer console shows a POST /v1/audio/speech endpoint and an example using the moss-tts-1.5-flash model. | The public REST API uses bearer API keys, supports asynchronous multipart media submissions and exposes detection results through versioned endpoints. |
| API access | Yes | Yes |
| Deployment | The repository documents local inference and serving backends including llama.cpp, SGLang-Omni, and vLLM-Omni. | Enterprise deployments can run as managed SaaS, private cloud/VPC, hybrid or air-gapped on-premises installations. |
| Export formats | WAV | WAV,MP3 |
| Integrations | The repository lists MOSS-TTS API skills for OpenClaw, including a Feishu voice-message skill. | Listed integrations include Microsoft Teams, Zoom, Google Meet, Webex, Twilio, Salesforce, ServiceNow, Talkdesk, Genesys, Five9, RingCentral, Dialogflow, Make, n8n and Snowflake. |
| Intended users | The project describes deployment and research use, and lists narration, voice cloning, dialogue, podcasts, dubbing, voice agents, and media sound effects as target tasks. | The company describes its offerings for developers and enterprises detecting AI fraud and protecting content. |
| Platforms | api,self_hosted | web,API,self-hosted |
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You want what its maker publishes above — check its page for the details.
It suits developers and enterprises looking to detect synthetic media or protect content, with options for API use and varied deployment environments. Teams needing large-file or batch uploads should consider the listed plan limits.