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edge-tts-node
Advanced tools
An Azure Speech Service module that uses the Microsoft Edge Read Aloud API.
An simple Azure Speech Service module that uses the Microsoft Edge Read Aloud API.
Full support for SSML Only supports speak
, voice
, and prosody
element types. The following is the default SSML object:
<speak version="1.0" xmlns="http://www.w3.org/2001/10/synthesis" xmlns:mstts="https://www.w3.org/2001/mstts"
xml:lang="${this._voiceLang}">
<voice name="${voiceName}">
<prosody rate="${rate}" pitch="${pitch}" volume="${volume}">
${input}
</prosody>
</voice>
</speak>
Documentation on the SSML format can be found here . All supported audio formats can be found here.
Make sure to escape/sanitize your user's input! Use a library like xml-escape.
import { MsEdgeTTS, OUTPUT_FORMAT } from "edge-tts-node";
const tts = new MsEdgeTTS();
await tts.setMetadata(
"en-IE-ConnorNeural",
OUTPUT_FORMAT.WEBM_24KHZ_16BIT_MONO_OPUS
);
const readable = tts.toStream("Hi, how are you?");
readable.on("data", (data) => {
console.log("DATA RECEIVED", data);
// raw audio file data
});
readable.on("close", () => {
console.log("STREAM CLOSED");
});
import { MsEdgeTTS, OUTPUT_FORMAT } from "edge-tts-node";
(async () => {
const tts = new MsEdgeTTS();
await tts.setMetadata(
"en-US-AriaNeural",
OUTPUT_FORMAT.WEBM_24KHZ_16BIT_MONO_OPUS
);
const filePath = await tts.toFile("./example_audio.webm", "Hi, how are you?");
})();
import { MsEdgeTTS, OUTPUT_FORMAT } from "edge-tts-node";
(async () => {
const tts = new MsEdgeTTS();
await tts.setMetadata(
"en-US-AriaNeural",
OUTPUT_FORMAT.WEBM_24KHZ_16BIT_MONO_OPUS
);
const filePath = await tts.toFile(
"./example_audio.webm",
"Hi, how are you?",
{ rate: 0.5, pitch: "+200Hz" }
);
})();
Use a custom http.Agent implementation like https-proxy-agent or socks-proxy-agent.
import { SocksProxyAgent } from "socks-proxy-agent";
(async () => {
const agent = new SocksProxyAgent(
"socks://your-name%40gmail.com:abcdef12345124@br41.nordvpn.com"
);
const tts = new MsEdgeTTS(agent);
await tts.setMetadata(
"en-US-AriaNeural",
OUTPUT_FORMAT.WEBM_24KHZ_16BIT_MONO_OPUS
);
const filePath = await tts.toFile("./example_audio.webm", "Hi, how are you?");
})();
For the full documentation check out the API Documentation.
This library only supports promises.
FAQs
An Azure Speech Service module that uses the Microsoft Edge Read Aloud API.
We found that edge-tts-node demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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