elevenlabs-hello-world

Generate your first ElevenLabs text-to-speech audio file. Use when starting a new ElevenLabs integration, testing your setup, or learning basic TTS API patterns before wiring voice into a real app. Trigger with "elevenlabs hello world", "elevenlabs example", "elevenlabs quick start", "first elevenlabs TTS", "text to speech demo".

Allowed Tools

ReadWriteBash(npm:*)Bash(node:*)

Provided by Plugin

elevenlabs-pack

Claude Code skill pack for ElevenLabs (18 skills)

saas packs v1.6.0
View Plugin

Installation

This skill is included in the elevenlabs-pack plugin:

/plugin install elevenlabs-pack@claude-code-plugins-plus

Click to copy

Instructions

ElevenLabs Hello World

Overview

Generate speech from text using the ElevenLabs TTS API. This skill covers the

core POST /v1/text-to-speech/ endpoint with real voice IDs, model

selection, and audio output. Start from the minimal SDK call below, then drill

into the full implementation for the cURL,

streaming, and multi-language paths.

Prerequisites

  • Completed the elevenlabs-install-auth setup skill so the SDK is installed.
  • A valid API key exported as ELEVENLABSAPIKEY in your shell environment.
  • Node 20+ (for the TypeScript SDK path) or Python 3.9+ (for the Python path).

Instructions

The whole workflow is one API call: pick a voice ID, pick a model, send text,

write the returned audio stream to a file. The minimal TypeScript path:


import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createWriteStream } from "fs";
import { Readable } from "stream";
import { pipeline } from "stream/promises";

const client = new ElevenLabsClient();
const audio = await client.textToSpeech.convert("21m00Tcm4TlvDq8ikWAM", {
  text: "Hello! This is your first ElevenLabs text-to-speech generation.",
  model_id: "eleven_multilingual_v2",
});
await pipeline(Readable.fromWeb(audio as any), createWriteStream("output.mp3"));

The four generation paths, with full copy-paste code and inline commentary on

every voice_settings field, live in

references/implementation.md:

  1. SDK (TypeScript / Python) — batch generation with tuned voice settings.
  2. cURL — the raw REST call, no SDK, for shell scripts and testing.
  3. Streaming — the elevenflashv2_5 low-latency path (~75 ms first chunk).
  4. Model / voice / output-format tables — the exact IDs to plug in above.

Pick the path that matches your stack, swap the voice ID and text, and run it.

Output

A single audio file written to disk (default output.mp3), plus a console line

confirming the write:

  • output.mp3 — MP3 at mp344100128 by default (~35–50 KB for a one-line

greeting). Override the codec via output_format (see the output-format table

in implementation.md).

  • stdout: Audio saved to output.mp3 (or `Streamed audio saved to

streamed.mp3` on the streaming path).

A non-200 response returns a JSON error body instead of audio — see Error

Handling below.

Error Handling

Error HTTP Cause Solution
voicenotfound 404 Invalid voice ID Use GET /v1/voices to list valid IDs
invalidapikey 401 Bad or missing key Check ELEVENLABSAPIKEY env var
modelnotfound 400 Wrong model_id string Use exact IDs from the models table
texttoolong 400 Exceeds 5,000 chars Split into chunks; use streaming for long text
quota_exceeded 401 Monthly character limit hit Check usage at elevenlabs.io/app/usage

With cURL, a failure writes the JSON error body to output.mp3; inspect it with

cat output.mp3 before assuming the audio is corrupt.

Examples

Three end-to-end scenarios — first SDK MP3, one-shot cURL, and low-latency

streaming — with the exact commands and the resulting on-disk artifacts are in

references/examples.md. The quickest smoke test:


export ELEVENLABS_API_KEY="sk_..."
curl -X POST "https://api.elevenlabs.io/v1/text-to-speech/21m00Tcm4TlvDq8ikWAM" \
  -H "xi-api-key: ${ELEVENLABS_API_KEY}" -H "Content-Type: application/json" \
  -d '{"text":"Hello from the ElevenLabs API!","model_id":"eleven_multilingual_v2"}' \
  --output output.mp3

Resources

streaming, and the model / voice / output-format tables.

Next Steps

Once your first file plays back cleanly, proceed to elevenlabs-local-dev-loop

for a development workflow with hot-reload and caching, or

elevenlabs-core-workflow-a to move from pre-made voices into voice cloning.

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