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Run `+rw-fetch-api-reference` to load the latest API reference before integrating. Requires `+rw-setup-api-key` for API credentials. Requires `+rw-integrate-uploads` for local audio\u002Fvideo files.\n\nHelp users add Runway audio generation to their server-side code.\n\n## Available Models\n\n| Model | Endpoint | Use Case | Cost |\n|-------|----------|----------|------|\n| `eleven_multilingual_v2` | `POST \u002Fv1\u002Ftext_to_speech` | Text to speech | 1 credit\u002F50 chars |\n| `eleven_text_to_sound_v2` | `POST \u002Fv1\u002Fsound_effect` | Sound effect generation | 1-2 credits |\n| `eleven_voice_isolation` | `POST \u002Fv1\u002Fvoice_isolation` | Isolate voice from audio | 1 credit\u002F6 sec |\n| `eleven_voice_dubbing` | `POST \u002Fv1\u002Fvoice_dubbing` | Dub audio to other languages | 1 credit\u002F2 sec |\n| `eleven_multilingual_sts_v2` | `POST \u002Fv1\u002Fspeech_to_speech` | Voice conversion | 1 credit\u002F3 sec |\n\n## Text-to-Speech\n\nGenerate speech from text using the ElevenLabs multilingual model.\n\n### Node.js SDK\n\n```javascript\nimport RunwayML from '@runwayml\u002Fsdk';\n\nconst client = new RunwayML();\n\nconst task = await client.textToSpeech.create({\n model: 'eleven_multilingual_v2',\n promptText: 'Hello, welcome to our application!',\n voice: { type: 'runway-preset', presetId: 'Maya' }\n}).waitForTaskOutput();\n\nconst audioUrl = task.output[0];\n```\n\n### Python SDK\n\n```python\nfrom runwayml import RunwayML\n\nclient = RunwayML()\n\ntask = client.text_to_speech.create(\n model='eleven_multilingual_v2',\n prompt_text='Hello, welcome to our application!',\n voice={ 'type': 'runway-preset', 'presetId': 'Maya' }\n).wait_for_task_output()\n\naudio_url = task.output[0]\n```\n\n## Sound Effects\n\nGenerate sound effects from text descriptions.\n\n```javascript\nconst task = await client.soundEffect.create({\n model: 'eleven_text_to_sound_v2',\n promptText: 'Thunder rolling across a stormy sky'\n}).waitForTaskOutput();\n```\n\n```python\ntask = client.sound_effect.create(\n model='eleven_text_to_sound_v2',\n prompt_text='Thunder rolling across a stormy sky'\n).wait_for_task_output()\n```\n\n## Voice Isolation\n\nExtract voice from audio with background noise.\n\n```javascript\n\u002F\u002F If using a local file, upload first\nconst upload = await client.uploads.createEphemeral(\n fs.createReadStream('\u002Fpath\u002Fto\u002Fnoisy-audio.mp3')\n);\n\nconst task = await client.voiceIsolation.create({\n model: 'eleven_voice_isolation',\n audioUri: upload.runwayUri\n}).waitForTaskOutput();\n```\n\n## Voice Dubbing\n\nDub audio\u002Fvideo into other languages.\n\n```javascript\nconst task = await client.voiceDubbing.create({\n model: 'eleven_voice_dubbing',\n audioUri: 'https:\u002F\u002Fexample.com\u002Fspeech.mp3',\n targetLang: 'es' \u002F\u002F Spanish\n}).waitForTaskOutput();\n```\n\n## Speech-to-Speech\n\nConvert one voice to another.\n\n```javascript\nconst task = await client.speechToSpeech.create({\n model: 'eleven_multilingual_sts_v2',\n media: { type: 'audio', uri: 'https:\u002F\u002Fexample.com\u002Foriginal-speech.mp3' },\n voice: { type: 'runway-preset', presetId: 'Noah' }\n}).waitForTaskOutput();\n```\n\n## Integration Pattern\n\n### Express.js — Text-to-Speech Endpoint\n\n```javascript\nimport RunwayML from '@runwayml\u002Fsdk';\nimport express from 'express';\n\nconst client = new RunwayML();\nconst app = express();\napp.use(express.json());\n\napp.post('\u002Fapi\u002Ftext-to-speech', async (req, res) => {\n try {\n const { text, voiceId } = req.body;\n\n const task = await client.textToSpeech.create({\n model: 'eleven_multilingual_v2',\n promptText: text,\n voice: { type: 'runway-preset', presetId: voiceId || 'Maya' }\n }).waitForTaskOutput();\n\n res.json({ audioUrl: task.output[0] });\n } catch (error) {\n console.error('TTS failed:', error);\n res.status(500).json({ error: error.message });\n }\n});\n```\n\n### FastAPI — Sound Effects\n\n```python\nfrom fastapi import FastAPI, HTTPException\nfrom pydantic import BaseModel\nfrom runwayml import RunwayML\n\napp = FastAPI()\nclient = 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