10 actions in 7 pieces of software · ranked by words, meaning and measured trust · 577 ms
MCP serverrecord
- chatterbox_indonesian_grandhigh_generate_tts_audio
Synthesize Indonesian speech from text with Chatterbox TTS Indonesian. Optionally clones the voice of a reference audio clip (prosody, timbre, style). If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File In
- chatterbox_indonesian_grandhigh_generate_tts_audio
modelrecord
- text-to-speech
Task: Text to Speech
- conversational-ai
Task: Conversational AI
- riva
Task: Riva
- resemble.ai
Task: Resemble.ai
- text-to-speech
MCP serverrecord
- Chatterbox_generate_tts_audio
Generate high-quality speech audio from text using ChatterboxTTS model with optional reference audio styling. This tool synthesizes natural-sounding speech from input text. When a reference audio file is provided, it captures the speaker's voice characteristics and speaking style. The generated audi
- Chatterbox_generate_tts_audio
modelrecord1,718,719 downloads/month
- text-to-speech
Task: text-to-speech
- text-to-speech
modelrecord
- resemble-ai/chatterbox-turbo
The fastest open source TTS model without sacrificing quality.
- resemble-ai/chatterbox-turbo
MCP serverrecord
- Chatterbox_generate_tts_audio
Generate speech from text (up to 2500 characters per run) using ChatterboxTTS with optional reference audio. Text is split into short chunks and joined into one audio file. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and c
- Chatterbox_generate_tts_audio
MCP serverrecord
- orthea_english_generate_tts_audio
Generate high-quality speech audio from text using ChatterboxTTS model with optional reference audio styling. This tool synthesizes natural-sounding speech from input text. When a reference audio file is provided, it captures the speaker's voice characteristics and speaking style. The generated audi
- orthea_english_generate_tts_audio
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.