deepgram-java-text-to-speech

name

deepgram-java-text-to-speech

description

Use when writing or reviewing Java code in this repo that calls Deepgram Text-to-Speech v1 (`/v1/speak`) for audio synthesis. Covers one-shot REST via `client.speak().v1().audio().generate(...)` and streaming synthesis via `client.speak().v1().v1WebSocket()`. Use `deepgram-java-voice-agent` for full-duplex assistants instead of one-way synthesis. Triggers include "tts", "text to speech", "speak", "aura", "streaming tts", and "speak websocket".

Using Deepgram Text-to-Speech (Java SDK)

Convert text to audio with REST or stream audio back incrementally over WebSocket via /v1/speak.

When to use this product

• REST (audio().generate) — one-shot synthesis when you already have the full text.
• WebSocket (v1WebSocket()) — lower-latency synthesis while text arrives in chunks.

Use a different skill when:

• You need the system to listen, think, and speak in one session → deepgram-java-voice-agent.

Authentication

import com.deepgram.DeepgramClient;

DeepgramClient client = DeepgramClient.builder()
        .apiKey(System.getenv("DEEPGRAM_API_KEY"))
        .build();

API key auth uses Authorization: Token <apiKey>.

Quick start — REST

import com.deepgram.resources.speak.v1.audio.requests.SpeakV1Request;
import java.io.InputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.StandardCopyOption;

SpeakV1Request request = SpeakV1Request.builder()
        .text("Hello! This is a text-to-speech example using the Deepgram Java SDK.")
        .build();

InputStream audioStream = client.speak().v1().audio().generate(request);
Files.copy(audioStream, Path.of("output.mp3"), StandardCopyOption.REPLACE_EXISTING);
audioStream.close();

REST returns an InputStream, not JSON.

Quick start — WebSocket

import com.deepgram.resources.speak.v1.types.SpeakV1Close;
import com.deepgram.resources.speak.v1.types.SpeakV1CloseType;
import com.deepgram.resources.speak.v1.types.SpeakV1Flush;
import com.deepgram.resources.speak.v1.types.SpeakV1FlushType;
import com.deepgram.resources.speak.v1.types.SpeakV1Text;
import com.deepgram.resources.speak.v1.websocket.V1WebSocketClient;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.util.concurrent.TimeUnit;
import java.util.logging.Level;
import java.util.logging.Logger;

Logger logger = Logger.getLogger("StreamingTts");
V1WebSocketClient wsClient = client.speak().v1().v1WebSocket();
OutputStream audioOutput = new FileOutputStream("output_streaming.wav");

// Log write failures rather than throwing from the WebSocket callback thread
// (matches examples/speak/StreamingTts.java).
wsClient.onSpeakV1Audio(audioData -> {
    try {
        audioOutput.write(audioData.toByteArray());
    } catch (IOException e) {
        logger.log(Level.SEVERE, "Failed to write streaming audio to output file.", e);
    }
});

// Close the output stream when the server disconnects so we don't leak the file handle.
wsClient.onDisconnected(message -> {
    try {
        audioOutput.close();
    } catch (IOException e) {
        logger.log(Level.WARNING, "Failed to close streaming audio output file.", e);
    }
});

wsClient.connect().get(10, TimeUnit.SECONDS);
wsClient.sendText(SpeakV1Text.builder().text("Hello, this is streaming text to speech.").build());
wsClient.sendFlush(SpeakV1Flush.builder().type(SpeakV1FlushType.FLUSH).build());
wsClient.sendClose(SpeakV1Close.builder().type(SpeakV1CloseType.CLOSE).build());

Async equivalent

import com.deepgram.AsyncDeepgramClient;
import java.io.InputStream;
import java.util.concurrent.CompletableFuture;

AsyncDeepgramClient asyncClient = AsyncDeepgramClient.builder()
        .apiKey(System.getenv("DEEPGRAM_API_KEY"))
        .build();

CompletableFuture<InputStream> future = asyncClient.speak().v1().audio().generate(request);

Key parameters / API surface

• REST request builder: SpeakV1Request.builder().text(...)
• Verified REST params: model, encoding, sampleRate, bitRate, container, callback, callbackMethod, mipOptOut, tag
• REST methods: audio().generate(request) and audio().withRawResponse().generate(request)
• WSS connect options: model, encoding, sampleRate, mipOptOut
• WSS send methods: sendText(...), sendFlush(...), sendClear(...), sendClose(...)
• WSS handlers: onSpeakV1Audio, onMetadata, onFlushed, onCleared, onWarning, plus generic connection/error hooks

API reference (layered)

1. In-repo source of truth: src/main/java/com/deepgram/resources/speak/v1/ and examples/speak/. reference.md is not present in this checkout.
2. Canonical OpenAPI (REST): https://developers.deepgram.com/openapi.yaml
3. Canonical AsyncAPI (WSS): https://developers.deepgram.com/asyncapi.yaml
4. Context7: /llmstxt/developers_deepgram_llms_txt
5. Product docs:
   • https://developers.deepgram.com/reference/text-to-speech/speak-request
   • https://developers.deepgram.com/reference/text-to-speech/speak-streaming
   • https://developers.deepgram.com/docs/tts-models

Gotchas

1. REST returns audio bytes as InputStream. Save or consume it; do not try to deserialize JSON.
2. Flush before close on WebSocket. The example sends Flush before Close so the tail of the audio is not lost.
3. Streaming audio arrives as binary ByteString. Convert to bytes before writing or playback.
4. WebSocket options are narrower than REST. container and bitRate are REST request fields, not WebSocket connect options in this checkout.
5. TTS defaults are minimal unless you set them. The example only sets text; pick an explicit model/encoding when output format matters.
6. There is no Java TextBuilder helper in this repo. That Python helper does not exist here.
7. Async REST is CompletableFuture<InputStream>. You still need to close the stream after the future resolves.

Example files in this repo

• examples/speak/TextToSpeech.java
• examples/speak/StreamingTts.java
• examples/agent/ProviderCombinations.java — shows Aura model selection inside Agent configs

Central product skills

For cross-language Deepgram product knowledge — the consolidated API reference, documentation finder, focused runnable recipes, third-party integration examples, and MCP setup — install the central skills:

npx skills add deepgram/skills

This SDK ships language-idiomatic code skills; deepgram/skills ships cross-language product knowledge (see api, docs, recipes, examples, starters, setup-mcp).