Documentation pour les développeurs

Api publique.

Introduction

Speaqr fournit des services de traduction en temps réel via une API construite sur Socket.IO. Les clients peuvent se connecter, envoyer des données audio et recevoir des résultats traités, tels que des transcriptions, des traductions et de la voix synthétisée.Speaqr est conçu pour les conversations, où la vitesse est cruciale pour offrir une expérience de qualité. Pour cette raison, l'api de Speaqr suit la philosophie de "session on socket".Une fois authentifié, le consommateur maintient une connexion ouverte via socket jusqu'à la déconnexion, gérant la plupart des interactions à travers des événements, sauf quelques exceptions.Pour utiliser l'API tu as besoin d'une clé API valide. Pour l'obtenir, contactez-nous via le formulaire de contact.

Url

L'url d'accès à l'api est : https://public.speaqr.ai

Postman

Tu pouvez télécharger la collection de Postman et l'environnement pour tester les méthodes de l'API.N'oublie pas de mettre dans l'environnement ta clé API valide.Télécharger la collectionTélécharger l'environnement

Erreurs

Les erreurs sont toujours renvoyées dans un JSON avec les champs suivants :
Champ d'applicationExplication
codeLe code général de l'erreur.
errorLe code d'erreur spécifique dans l'erreur générale.
descriptionLa description textuelle de l'erreur.

Exemple


				{
					"code": "bad_file",
					"error": "language_not_detected",
					"description": "The audio language could not be determined"
				}
			

Méthodes

L'API dispose de plusieurs méthodes. Ci-dessous, leurs utilisations et configurations sont détaillées.

api/languages

Obtenez la liste des langues prises en charge par le SDK pour la transcription, la traduction et la synthèse vocale.

Endpoint

GET https://public.speaqr.ai/api/languages

En-têtes

Exemple

Javascript
Python
Java

									const myHeaders = new Headers();
									myHeaders.append("x-api-key", "xxxxxxx"); //Your valid api key
						
									const requestOptions = {
										method: "GET",
										headers: myHeaders
									};
						
									fetch("https://public.speaqr.ai/api/languages", requestOptions)
									.then((response) => response.text())
									.then((result) => console.log(result))
									.catch((error) => console.error(error));
								

									import requests

									headers = {
										"x-api-key": "xxxxxxx"	# Your valid api key
									}
									
									response = requests.get("https://public.speaqr.ai/api/languages", headers=headers)
									
									if response.status_code == 200:
										print("Languages available:", response.json())
									else:
										print("Error:", response.status_code, response.text)
								

									import okhttp3.*;

									public class Languages {
										public static void main(String[] args) {
											OkHttpClient client = new OkHttpClient();
									
											Request request = new Request.Builder()
													.url("https://public.speaqr.ai/api/languages")
													.header("x-api-key", "xxxxxxx")	//Your valid api key
													.get()
													.build();
									
											try (Response response = client.newCall(request).execute()) {
												if (response.isSuccessful() && response.body() != null) {
													System.out.println("Languages available: " + response.body().string());
												} else {
													System.out.println("Error: " + response.code());
												}
											} catch (Exception e) {
												e.printStackTrace();
											}
										}
									}
								

Réponse


						

/api/voices

Obtenez la liste des voix disponibles pour la synthèse vocale (TTS) dans une langue. Il est possible de filtrer le résultat par genre de voix, mode de réponse et/ou moteur de voix.Par ce moyen, on peut savoir si une configuration de langue, de genre, de mode de réponse et de moteur peut être réalisée, car il n'existe pas de voix pour toutes les combinaisons.

Endpoint

GET https://public.speaqr.ai/api/voices

En-têtes

Paramètres

QUERY

Exemple

Javascript
Python
Java

									const apiKey = 'xxxxxxx'; // Your valid API key

									const params = new URLSearchParams({
										language: 'en-gb',
										mode: 'block',
										voiceGender: 'M',
										voiceEngine: 'neural',
										voiceEngine: 'standard'
									});
						
									const requestOptions = {
										method: 'GET',
										headers: {
											'x-api-key': apiKey
										}
									};
						
									fetch(`https://public.speaqr.ai/api/voices?${params.toString()}`, requestOptions)
										.then((response) => response.text())
										.then((result) => console.log(result))
										.catch((error) => console.error(error));
								

									import requests

									params = {
										"language": "es-es",
										"mode": "block",
										"voiceEngine": ["neural", "standard"],
										"voiceGender": "M"
									}
									
									headers = {
										"x-api-key": "xxxxxxx"  # Your valid API key
									}
									
									
									response = requests.get("https://public.speaqr.ai/api/voices", params=params, headers=headers)
									
									if response.status_code == 200:
										print("Voices available:", response.json())
									else:
										print("Error:", response.status_code, response.text)
								

									import okhttp3.*;

									public class ListAvailableVoices {
										public static void main(String[] args) {
											OkHttpClient client = new OkHttpClient();
																				
											HttpUrl url = HttpUrl.parse("https://public.speaqr.ai/api/voices").newBuilder()
												.addQueryParameter("language", "en-gb")
												.addQueryParameter("mode", "block")
												.addQueryParameter("voiceGender", "M")
												.addQueryParameter("voiceEngine", "neural")
												.addQueryParameter("voiceEngine", "standard")
												.build();
									
											Request request = new Request.Builder()
												.url(url)
												.get()
												.addHeader("x-api-key", "xxxxxxx") // Your valid API key
												.build();
									
											try (Response response = client.newCall(request).execute()) {
												if (response.isSuccessful() && response.body() != null) {
													System.out.println("Voices available: " + response.body().string());
												} else {
													System.out.println("Error: " + response.code() + " - " + response.message());
												}
											} catch (Exception e) {
												e.printStackTrace();
											}
										}
									}
								

Réponse


						

batch/file

Traitez un fichier audio et effectuez l'opération spécifiée dans mode. Le résultat dépendra du mode sélectionné.

Endpoint

POST https://public.speaqr.ai/api/batch/file

En-têtes

Paramètres

FORM DATA

Exemple

Javascript
Python
Java

									const myHeaders = new Headers();
									myHeaders.append("x-api-key", "xxxxxxx");	//Your valid api key
									const wavFile = getWav();
						
									const formData = new FormData();
									formData.append("mode", "stt");
									formData.append("file", wavFile, "dummy.wav");
						
									const requestOptions = {
										method: "POST",
										headers: myHeaders,
										body: formData,
									};
						
									fetch("https://public.speaqr.ai/api/batch/file", requestOptions)
									.then((response) => response.text())
									.then((result) => console.log("Response:", result))
									.catch((error) => console.error("Error:", error));
						
						
									//Function to generate a dummy wav
									function getWav(){
										const sampleRate = 16000;
										const numChannels = 1;
										const duration = 2;
										const bitsPerSample = 16;
						
										//We generate empty data (silence)
										const numSamples = sampleRate * duration;
										const buffer = new ArrayBuffer(numSamples * (bitsPerSample / 8));
										const view = new DataView(buffer);
						
										//We write the WAV header
										writeString(view, 0, "RIFF");						// ChunkID
										view.setUint32(4, 36 + buffer.byteLength, true);	// ChunkSize
										writeString(view, 8, "WAVE")						// Format
										writeString(view, 12, "fmt ")						// Subchunk1ID
										view.setUint32(16, 16, true);						// Subchunk1Size
										view.setUint16(20, 1, true);						// AudioFormat (PCM)
										view.setUint16(22, numChannels, true);				// NumChannels
										view.setUint32(24, sampleRate, true);				// SampleRate
										view.setUint32(28, sampleRate * numChannels * (bitsPerSample / 8), true);	// ByteRate
										view.setUint16(32, numChannels * (bitsPerSample / 8), true);				// BlockAlign
										view.setUint16(34, bitsPerSample, true);			// BitsPerSample
										writeString(view, 36, "data")						// Subchunk2ID
										view.setUint32(40, buffer.byteLength, true);		// Subchunk2Size
						
										//We create a valid Blob in WAV format
										const wavBlob = new Blob([buffer], { type: "audio/wav" });
										return new File([wavBlob], "dummy.wav", { type: "audio/wav" });
									}
						
									//Function to write text to WAV header
									function writeString(view, offset, string) {
										for (let i = 0; i < string.length; i++) {
											view.setUint8(offset + i, string.charCodeAt(i));
										}
									}
								

									import requests
									import struct
									
									# //Function to generate a dummy wav
									def generate_wav():
										sample_rate = 16000
										num_channels = 1
										duration = 2
										bits_per_sample = 16
									
										num_samples = sample_rate * duration
										byte_rate = sample_rate * num_channels * (bits_per_sample // 8)
										block_align = num_channels * (bits_per_sample // 8)
									
										# Cabecera WAV
										wav_header = struct.pack(
											'<4sI4s4sIHHIIHH4sI',
											b'RIFF',  							# ChunkID
											36 + num_samples * block_align,  	# ChunkSize
											b'WAVE',  							# Format
											b'fmt ',  							# Subchunk1ID
											16,  								# Subchunk1Size
											1,  								# AudioFormat (PCM)
											num_channels,  						# NumChannels
											sample_rate,  						# SampleRate
											byte_rate,  						# ByteRate
											block_align,  						# BlockAlign
											bits_per_sample,  					# BitsPerSample
											b'data',  							# Subchunk2ID
											num_samples * block_align  			# Subchunk2Size
										)
									
										# We generate empty data (silence)
										audio_data = b'\x00' * (num_samples * block_align)
										with open("dummy.wav", "wb") as f:
											f.write(wav_header + audio_data)
									
										return "dummy.wav"
									
									
									wav_file = generate_wav()
									
									files = {
										"file": ("dummy.wav", open(wav_file, "rb"), "audio/wav")
									}
									
									data = {
										"mode": "stt",
									}
									
									headers = {
										"x-api-key": "xxxxxxx" # Your valid api key
									}
									
									response = requests.post("https://public.speaqr.ai/api/batch/file", headers=headers, files=files, data=data)
									
									print("Response:", response.text)
								

									import okhttp3.*;
									import java.io.*;
									import java.nio.ByteBuffer;
									import java.nio.ByteOrder;
									
									public class BatchFile {
										public static void main(String[] args) {
											String apiUrl = "https://public.speaqr.ai/api/batch/file";
											String apiKey = "xxxxxxx";	//Your valid api key
									
											// Generate dummy WAV file
											String wavFilePath = "dummy.wav";
											generateWavFile(wavFilePath);
									
											// Send request to API
											sendFileToApi(apiUrl, apiKey, wavFilePath);
										}
									
										// Function to generate a dummy WAV file
										public static void generateWavFile(String filePath) {
											int sampleRate = 16000;
											int numChannels = 1;
											int duration = 2;
											int bitsPerSample = 16;
									
											int numSamples = sampleRate * duration;
											int byteRate = sampleRate * numChannels * (bitsPerSample / 8);
											int blockAlign = numChannels * (bitsPerSample / 8);
											int subchunk2Size = numSamples * blockAlign;
											int chunkSize = 36 + subchunk2Size;
									
											try (FileOutputStream fos = new FileOutputStream(filePath);
												DataOutputStream dos = new DataOutputStream(fos)) {
									
												// Write WAV header
												dos.writeBytes("RIFF"); 										// ChunkID
												dos.writeInt(Integer.reverseBytes(chunkSize)); 					// ChunkSize
												dos.writeBytes("WAVE"); 										// Format
												dos.writeBytes("fmt "); 										// Subchunk1ID
												dos.writeInt(Integer.reverseBytes(16)); 						// Subchunk1Size
												dos.writeShort(Short.reverseBytes((short) 1)); 					// AudioFormat (PCM)
												dos.writeShort(Short.reverseBytes((short) numChannels)); 		// NumChannels
												dos.writeInt(Integer.reverseBytes(sampleRate)); 				// SampleRate
												dos.writeInt(Integer.reverseBytes(byteRate)); 					// ByteRate
												dos.writeShort(Short.reverseBytes((short) blockAlign)); 		// BlockAlign
												dos.writeShort(Short.reverseBytes((short) bitsPerSample)); 		// BitsPerSample
												dos.writeBytes("data"); 										// Subchunk2ID
												dos.writeInt(Integer.reverseBytes(subchunk2Size)); 				// Subchunk2Size
									
												// Write silent audio data (zeros)
												byte[] silence = new byte[subchunk2Size];
												dos.write(silence);
									
												System.out.println("WAV file generated: " + filePath);
											} catch (IOException e) {
												e.printStackTrace();
											}
										}
									
										// Function to send file to API
										public static void sendFileToApi(String apiUrl, String apiKey, String filePath) {
											OkHttpClient client = new OkHttpClient();
									
											// Create file request body
											File file = new File(filePath);
											RequestBody fileBody = RequestBody.create(file, MediaType.get("audio/wav"));
									
											// Create multipart form-data request
											RequestBody requestBody = new MultipartBody.Builder()
												.setType(MultipartBody.FORM)
												.addFormDataPart("mode", "stt")
												.addFormDataPart("file", file.getName(), fileBody)
												.build();
									
											// Build HTTP request
											Request request = new Request.Builder()
												.url(apiUrl)
												.post(requestBody)
												.addHeader("x-api-key", apiKey)
												.build();
									
											// Execute request
											try (Response response = client.newCall(request).execute()) {
												String responseBody = (response.body() != null) ? response.body().string() : "No response body";
												
												if (response.isSuccessful()) {
													System.out.println("Response: " + responseBody);
												} else {
													System.out.println("Error: " + response.code() + " - " + response.message());
													System.out.println("Response Body: " + responseBody); // Print JSON error response
												}
											} catch (IOException e) {
												e.printStackTrace();
											}		
										}
									}
								

Réponse

Le JSON de réponse contiendra uniquement les champs du résultat spécifié dans mode. Le champ file.data est un ArrayBuffer au format mp3.

						

Erreurs

Raccordement à la prise

Compatibilité

Pour utiliser l'api, il faut développer dans un langage compatible avec un client socket.io : Javascript, Java, C++, Swift, Dart, Python, .Net, Rust, Kotlin, PHP. https://socket.io/docs/v4

Espaces de noms

Les sockets sont organisés par espaces de noms séparés selon la fonction à réaliser, transcription, traduction, synthèse vocale, ou le cycle complet.La façon de les instancier est indépendante de l'espace de noms à utiliser, bien que chacun d'eux reçoive ses propres paramètres.

Exemple

Javascript
Python
Java

								const namespace = 'translator';

								const params = {
									languageIdSource: 'en-gb',
									languageIdTarget: 'fr-fr'
								};
					
								const Sockets = io("https://public.speaqr.ai/" + namespace, {
									transports: ['websocket'],
									upgrade: false,
									auth: {token: "xxxxxxx"},	//Your valid api key
									autoConnect: false,
									reconnection: false,
									query: params
								});
					
								Sockets.on('connect', () => console.log('connect!'));
								Sockets.on('disconnect', reason  => console.log('disconnect!', reason));
					
								console.debug('Connecting to sockets...');
					
								Sockets.connect();
					
								setTimeout(() => Sockets.disconnect(), 5000);
							

								import socketio
								import threading
								
								
								sio = socketio.Client()
								
								api_key = "xxxxxxx"
								
								params = {
									"languageIdSource": "en-gb",
									"languageIdTarget": "fr-fr"
								}
								
								
								query_string = "&".join(f"{k}={v}" for k, v in params.items())
								
								
								@sio.on("connect", namespace="/translator")
								def connect():
									print("Connected to /translator")
								
								@sio.on("disconnect", namespace="/translator")
								def disconnect():
									print("Disconnected from /translator")
								
								@sio.on("connect_error", namespace="/translator")
								def connect_error(data):
									print("Connection error:", data)
								
								sio.connect(
									f"https://public.speaqr.ai/translator?{query_string}",
									auth={"token": api_key},
									transports=["websocket"],
									namespaces=["/translator"]
								)
								
								print("Socket:", sio.connected)
								print("Socket ID:", sio.sid)
								print("Connected:", sio.connected)
								print("Transport:", sio.transport())
								
								threading.Timer(5, sio.disconnect).start()
								sio.wait()
							

								import io.socket.client.IO;
								import io.socket.client.Socket;
								import io.socket.emitter.Emitter;
								import java.util.HashMap;
								import java.util.Map;
								import java.net.URI;
								import java.net.URISyntaxException;
								
								public class Sockets_connect {
									public static void main(String[] args) {
										try {
											// Define connection parameters
											String params = "languageIdTarget=fr-fr&languageIdSource=en-gb";
											String url = "https://public.speaqr.ai/translator?" + params;
								
											// Configure WebSocket options
											IO.Options options = new IO.Options();
											options.transports = new String[]{"websocket"};
											options.forceNew = true;
											options.reconnection = false;
								
											Map authData = new HashMap<>();
											authData.put("token", "xxxxxxx");
											options.auth = authData;
								
											// Create socket instance
											Socket socket = IO.socket(new URI(url), options);
								
											// Event listeners
											socket.on(Socket.EVENT_CONNECT, new Emitter.Listener() {
												@Override
												public void call(Object... args) {
													System.out.println("connect!");
												}
											});
								
											socket.on(Socket.EVENT_DISCONNECT, new Emitter.Listener() {
												@Override
												public void call(Object... args) {
													System.out.println("disconnect! Reason: " + (args.length > 0 ? args[0] : "unknown"));
													System.exit(0);
												}
											});
								
											// Connecting
											System.out.println("Connecting to sockets...");
											socket.connect();
								
											// Disconnect after 5 seconds
											Thread.sleep(5000);
											socket.disconnect();
								
										} catch (URISyntaxException | InterruptedException e) {
											e.printStackTrace();
										}
									}
								}
							

Espaces de noms

Les espaces de noms pris en charge par l'API de Speaqr pour sa connexion par sockets sont décrits ci-dessous.

Transcription

Effectuez la transcription de l'audio qui tu est envoyé.

Url

https://public.speaqr.ai/stt

Paramètres

Traduction

Réalisez la traduction du texte qui tu est envoyé d'une langue à une autre.

Url

https://public.speaqr.ai/translator

Paramètres

Synthèse vocale

Générer un audio à partir du texte envoyé.

Url

https://public.speaqr.ai/tts

Paramètres

Transcription - traduction - synthèse

Il transcrit l'audio qui lui est envoyé, le traduit et synthétise un nouvel audio avec la traduction obtenue.

Url

https://public.speaqr.ai/sts

Paramètres

Événements reçus

Les événements spécifiques des sockets de l'api sont décrits ci-dessous.

connected

Si cet événement est reçu, c'est que la connexion a réussi. Il reçoit un objet avec les paramètres qui ont été utilisés pour la connexion.

Réponse


						

start

Jusqu'à ce que cet événement soit reçu, les sockets ne seront pas prêts à recevoir du texte ou de l'audio, il est donc important d'attendre de recevoir cet événement avant d'envoyer quoi que ce soit. Une réponse booléenne peut être reçue, ou si l'audio en streaming a été invoqué, l'URL pour récupérer cet audio.

Exemple de "connecté" et "démarrer"

Javascript
Python
Java

								const namespace = 'sts';

								const params = {
									languageIdTarget: 'fr-fr',
									languageIdSource: 'en-gb',
									sendAudio: JSON.stringify({
										broadcastVia: 'chunk'
									}),
									receiveAudio: JSON.stringify({
										obtainVia: 'chunk',
										codec: 'mp3',
										sampleRate: 16000
									})
								};
					
								const Sockets = io("https://public.speaqr.ai/" + namespace, {
									transports: ['websocket'],
									upgrade: false,
									auth: {token: "xxxxxxx"},	//Your valid api key
									autoConnect: false,
									reconnection: false,
									query: params
								});
					
								Sockets.on('connect', () => {
									console.log('connect!');
									console.log('Waiting to be able to send data...');
								});
					
								Sockets.on('connected', (status) => {
									console.log('Connection status', status);
								});
					
								Sockets.on('start', () => {
									console.log('Speaqr is ready to receive data!');
									setTimeout(() => Sockets.disconnect(), 5000);
								});
					
								Sockets.on('disconnect', reason  => console.log('disconnect!', reason));
					
								console.debug('Connecting to sockets...');
								Sockets.connect();
							

								import socketio
								import urllib.parse
								import os
								
								
								api_key = "xxxxxxx"
								
								params = {
									"languageIdSource": "en-gb",
									"languageIdTarget": "fr-fr",
									"sendAudio": '{"broadcastVia": "chunk"}',
									"receiveAudio": '{"obtainVia": "chunk", "codec": "mp3", "sampleRate": 16000}'
								}
								
								query_string = urllib.parse.urlencode(params)
								
								sio = socketio.Client()
								
								@sio.event(namespace="/sts")
								def connect():
									print("connect!")
									print("Waiting to be able to send data...")
								
								@sio.on("connected", namespace="/sts")
								def on_connected(status):
									print("Connection status:", status)
								
								@sio.on("start", namespace="/sts")
								def on_start(data):
									print("Speaqr is ready to receive data.")
									sio.sleep(5)
									sio.disconnect()
								
								@sio.event(namespace="/sts")
								def disconnect(reason=None):
									print("disconnect!", reason)
									os._exit(0)
								
								print("Connecting to Speaqr sockets...")
								
								sio.connect(
									f"https://public.speaqr.ai/sts?{query_string}",
									auth={"token": api_key},
									transports=["websocket"],
									namespaces=["/sts"]
								)
								
								sio.wait()
							

								import io.socket.client.IO;
								import io.socket.client.Socket;
								import io.socket.emitter.Emitter;
								import java.net.URI;
								import java.net.URISyntaxException;
								import java.util.HashMap;
								import java.util.Map;
								
								public class Sockets_evt_status_con {
									public static void main(String[] args) {
										try {
											// Define connection parameters
											String params = "languageIdTarget=fr-fr&languageIdSource=en-gb" +
															"&sendAudio=" + encode("{\"broadcastVia\": \"chunk\"}") +
															"&receiveAudio=" + encode("{\"obtainVia\": \"chunk\", \"codec\": \"mp3\", \"sampleRate\": 16000}");
								
								
											String url = "https://public.speaqr.ai/sts?" + params;
								
											// Configure WebSocket options
											IO.Options options = new IO.Options();
											options.transports = new String[]{"websocket"};
											options.forceNew = true;
											options.reconnection = false;
								
											// Set authentication token
											Map authData = new HashMap<>();
											authData.put("token", "xxxxxxx"); // Your valid API key
											options.auth = authData;
								
											// Create socket instance
											Socket socket = IO.socket(new URI(url), options);
								
											// Event listeners
											socket.on(Socket.EVENT_CONNECT, new Emitter.Listener() {
												@Override
												public void call(Object... args) {
													System.out.println("connect!");
													System.out.println("Waiting to be able to send data...");
												}
											});
								
											socket.on("connected", new Emitter.Listener() {
												@Override
												public void call(Object... args) {
													System.out.println("Connection status: " + args[0]);
												}
											});
								
											socket.on("start", new Emitter.Listener() {
												@Override
												public void call(Object... args) {
													System.out.println("Speaqr is ready to receive data!");
													try {
														Thread.sleep(5000);
													} catch (InterruptedException e) {
														e.printStackTrace();
													}
													socket.disconnect();
												}
											});
								
											socket.on(Socket.EVENT_DISCONNECT, new Emitter.Listener() {
												@Override
												public void call(Object... args) {
													System.out.println("disconnect! Reason: " + (args.length > 0 ? args[0] : "unknown"));
													System.exit(0);
												}
											});
								
											// Connecting
											System.out.println("Connecting to sockets...");
											socket.connect();
								
										} catch (URISyntaxException e) {
											e.printStackTrace();
											System.exit(1);
										}
									}
								
									// Helper method to encode JSON in query params
									private static String encode(String value) {
										return value.replace("{", "%7B").replace("}", "%7D")
													.replace("\"", "%22").replace(":", "%3A")
													.replace(",", "%2C").replace(" ", "%20");
									}
								}
							

result

Les champs de l'objet reçu dépendront de l'espace de noms utilisé. Voici un objet pour l'espace de noms sts qui contient tous les champs possibles.

Réponse


						

error

Cet événement reçoit un objet avec différentes descriptions d'erreurs qui pourraient survenir, soit en raison de défaillances dans la programmation pour instancier les modes d'utilisation, soit dans les données qui sont tentées d'être traitées. Les erreurs d'exécution possibles sont listées.

Erreurs

Diffusion d'événements

Les envois pour le traitement des données qui prennent en charge les sockets sont décrits ci-dessous. Les fonctions d'émission reçoivent un ack avec le statut de l'envoi.

text

Envoyez un texte à traiter.

Exemple

Javascript
Python
Java

									const namespace = 'translator';

									const params = {
										languageIdSource: 'en-gb',
										languageIdTarget: 'fr-fr'
									};
						
									const Sockets = io("https://public.speaqr.ai/" + namespace, {
										transports: ['websocket'],
										upgrade: false,
										auth: {token: "xxxxxxx"},	//Your valid api key
										autoConnect: false,
										reconnection: false,
										query: params
									});
						
									Sockets.on('connect', () => {
										console.log('connect!');
										console.log('Waiting to be able to send data...');
									});
						
									Sockets.on('error', (error) => {
										console.log('error!', error);
									});
						
									Sockets.on('connected', (status) => {
										console.log('Connection status', status);
									});
						
									Sockets.on('start', () => {
										console.log('Speaqr is ready to receive data!');
										console.log('I send text to translate...');
										Sockets.emit('text', 'Hello word!. I want to translate it into French.', (ack) =>{
											console.log('ack emit text', ack);
										});
									});
						
									Sockets.on('result', (response) => {
										console.log('response', response);
						
										Sockets.disconnect();
									});
						
									Sockets.on('disconnect', reason  => console.log('disconnect!', reason));
						
									console.debug('Connecting to sockets...');
									Sockets.connect();
								

									import socketio
									import urllib.parse
									import os
									
									api_key = "xxxxxxx"
									
									params = {
										"languageIdSource": "en-gb",
										"languageIdTarget": "fr-fr"
									}
									
									query_string = urllib.parse.urlencode(params)
									
									sio = socketio.Client()
									
									@sio.event(namespace="/translator")
									def connect():
										print("connect!")
										print("Waiting to be able to send data...")
									
									@sio.on("error", namespace="/translator")
									def on_error(error):
										print("error!", error)
									
									@sio.on("connected", namespace="/translator")
									def on_connected(status):
										print("Connection status", status)
									
									@sio.on("start", namespace="/translator")
									def on_start(data):
										print("Speaqr is ready to receive data!")
										print("I send text to translate...")
										sio.emit("text", "Hello world! I want to translate it into French.", namespace="/translator", callback=on_ack)
									
									
									@sio.on("result", namespace="/translator")
									def on_result(response):
										print("response", response)
										sio.disconnect()
									
									@sio.event(namespace="/translator")
									def disconnect(reason=None):
										print("disconnect!", reason)
										os._exit(0)	
									
									def on_ack(ack):
										print("ack emit text", ack)
									
									print("Connecting to sockets...")
									sio.connect(
										f"https://public.speaqr.ai/translator?{query_string}",
										auth={"token": api_key},
										transports=["websocket"],
										namespaces=["/translator"]
									)
									
									sio.wait()
								

									import io.socket.client.IO;
									import io.socket.client.Socket;
									import io.socket.emitter.Emitter;
									import io.socket.client.Ack;
									import java.net.URI;
									import java.net.URISyntaxException;
									import java.util.HashMap;
									import java.util.Map;
									
									public class Sockets_emit_text {
										public static void main(String[] args) {
											try {
												// Define connection parameters
												String params = "languageIdSource=en-gb&languageIdTarget=fr-fr";
												String url = "https://public.speaqr.ai/translator?" + params;
									
												// Configure WebSocket options
												IO.Options options = new IO.Options();
												options.transports = new String[]{"websocket"};
												options.forceNew = true;
												options.reconnection = false;
									
												// Set authentication token
												Map authData = new HashMap<>();
												authData.put("token", "xxxxxxx"); // Your valid API key
												options.auth = authData;
									
												// Create socket instance
												Socket socket = IO.socket(new URI(url), options);
									
												// Event listeners
												socket.on(Socket.EVENT_CONNECT, new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("connect!");
														System.out.println("Waiting to be able to send data...");
													}
												});
									
												socket.on("error", new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("error! " + (args.length > 0 ? args[0] : "unknown"));
													}
												});
									
												socket.on("connected", new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("Connection status: " + (args.length > 0 ? args[0] : "unknown"));
													}
												});
									
												socket.on("start", new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("Speaqr is ready to receive data!");
														System.out.println("I send text to translate...");
									
														// Emit text and handle acknowledgment
														socket.emit("text", "Hello world! I want to translate it into French.", new Ack() {
															@Override
															public void call(Object... ackArgs) {
																System.out.println("ack emit text: " + (ackArgs.length > 0 ? ackArgs[0] : "No ack received"));
															}
														});
													}
												});
									
												socket.on("result", new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("response: " + (args.length > 0 ? args[0] : "unknown"));
														socket.disconnect();
													}
												});
									
												socket.on(Socket.EVENT_DISCONNECT, new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("disconnect! Reason: " + (args.length > 0 ? args[0] : "unknown"));
														System.exit(0);
													}
												});
									
												// Connecting
												System.out.println("Connecting to sockets...");
												socket.connect();
									
											} catch (URISyntaxException e) {
												e.printStackTrace();
												System.exit(1);
											}
										}
									}
								

write_stream

Envoyez un extrait audio pour être traité.

Exemple

Dans l'exemple suivant, le microphone de l'appareil est capturé et la transcription de la première phrase entendue est effectuée.
Javascript
Python
Java

									let mediaRecorder = null;

									const namespace = 'stt';
						
									const params = {
										languageIdSource: 'en-gb',
										sendAudio: JSON.stringify({
											broadcastVia: 'chunk'
										})
									};
						
									const Sockets = io("https://public.speaqr.ai/" + namespace, {
										transports: ['websocket'],
										upgrade: false,
										auth: {token: "xxxxxxx"},	//Your valid api key
										autoConnect: false,
										reconnection: false,
										query: params
									});
						
									Sockets.on('connect', () => {
										console.log('connect!');
										console.log('Waiting to be able to send data...');
									});
						
									Sockets.on('error', (error) => {
										console.log('error!', error);
									});
						
									Sockets.on('connected', (status) => {
										console.log('Connection status', status);
									});
						
									Sockets.on('start', () => {
										console.log('Speaqr is ready to receive data. Speak now in English!!!!');
										start();
									});
						
									Sockets.on('result', (response) => {
										console.log('first response\n-----------------------\n\n');
										console.log(response);
										console.log('\n\n-----------------------\n\n');
						
										console.log('We stopped listening!');
										stop();
										Sockets.disconnect();
									});
						
									Sockets.on('disconnect', reason  => console.log('disconnect!', reason));
						
									console.debug('Connecting to sockets...');
									Sockets.connect();
						
						
									// Start capturing and processing microphone audio
									const start = async () => {
										navigator.mediaDevices.getUserMedia({ audio: true })
										.then(stream => {
											mediaRecorder = new MediaRecorder(stream);
											mediaRecorder.ondataavailable = ondataavailable;
											mediaRecorder.start(500);
										})
										.catch(error => {
											console.error("Error starting recording:", error);
										});
									}
						
									// Here you receive each audio fragment in a Blob
									const ondataavailable = (event) => {
										if (event.data && event.data.size > 0) {
											const audioChunk = event.data;
						
											console.log('audio chunk', audioChunk);
						
											Sockets.emit('write_stream', audioChunk, (ack) => {
												if (!ack) console.error("Error write_stream", ack);
											});
										}
									};
						
									// Stop the process
									const stop = async () => {
										try {
											//We stop the MediaRecorder
											if (mediaRecorder){
												   mediaRecorder.stop();
												mediaRecorder = null;
											}
										} catch (error) {
											console.error("Error while stopping resources", error);
										}
									}
								

									import socketio
									import sounddevice as sd
									import numpy as np
									import urllib.parse
									import signal
									import sys
									import threading
									import time
									
									SAMPLE_RATE = 16000
									CHANNELS = 1
									CHUNK_SIZE = 1024
									api_key = "xxxxxxx"
									
									params = {
										"languageIdSource": "en-gb",
										"sendAudio": '{"broadcastVia": "chunk", "codec": "linear16", "sampleRate": 16000}',
									}
									query_string = urllib.parse.urlencode(params)
									
									sio = socketio.Client()
									stream = None
									should_exit = False
									
									@sio.event(namespace="/stt")
									def connect():
										print("connect!")
									
									@sio.on("connected", namespace="/stt")
									def on_connected(status):
										print("Connection status", status)
									
									@sio.on("start", namespace="/stt")
									def on_start(_):
										print("Speaqr is ready to receive data. Speak now in English!")
										start_recording()
									
									@sio.on("result", namespace="/stt")
									def on_result(response):
										print("response:\n", response)
										stop()
									
									@sio.event(namespace="/stt")
									def disconnect(reason=None):
										print("disconnect!", reason)
										global should_exit
										should_exit = True
									
									@sio.on("error", namespace="/stt")
									def on_error(error):
										print("error!", error)
									
									def audio_callback(indata, frames, time, status):
										if status:
											print(status)
										audio_data = indata.copy().astype(np.int16).tobytes()
										sio.emit("write_stream", audio_data, namespace="/stt", callback=on_ack)
									
									def on_ack(ok):
										if not ok:
											print("write_stream ack = False")
									
									def start_recording():
										global stream
										stream = sd.InputStream(samplerate=SAMPLE_RATE, channels=CHANNELS, dtype='int16',
																blocksize=CHUNK_SIZE, callback=audio_callback)
										stream.start()
										print("Recording... Press Ctrl+C to stop.")
									
									def stop():
										global stream, should_exit
										if stream:
											print("Stopping and closing stream...")
											stream.stop()
											stream.close()
											stream = None
										print("Disconnecting socket...")
										sio.disconnect()
										should_exit = True
									
									def signal_handler(sig, frame):
										print("Ctrl+C pressed. Exiting...")
										stop()
									
									signal.signal(signal.SIGINT, signal_handler)
									
									print("Connecting to sockets...")
									sio.connect(
										f"https://public.speaqr.ai/stt?{query_string}",
										auth={"token": api_key},
										transports=["websocket"],
										namespaces=["/stt"]
									)
									
									# Espera activa (se puede interrumpir con Ctrl+C en Windows)
									while not should_exit:
										time.sleep(0.2)
								

									import io.socket.client.IO;
									import io.socket.client.Socket;
									import io.socket.emitter.Emitter;
									import javax.sound.sampled.*;
									import java.io.ByteArrayOutputStream;
									import java.io.IOException;
									import java.net.URI;
									import java.net.URISyntaxException;
									import java.util.Arrays;
									import java.util.HashMap;
									import java.util.Map;
									
									public class Sockets_emit_write_stream {
										private static Socket socket;
										private static boolean recording = false;
										private static TargetDataLine microphone;
									
										public static void main(String[] args) {
											try {
												// Define connection parameters
												String params = "languageIdSource=en-gb" + 
																"&sendAudio=" + encode("{\"broadcastVia\": \"chunk\", \"codec\": \"linear16\", \"sampleRate\": 16000}");
									
												String url = "https://public.speaqr.ai/stt?" + params;
									
												// Configure WebSocket options
												IO.Options options = new IO.Options();
												options.transports = new String[]{"websocket"};
												options.forceNew = true;
												options.reconnection = false;
									
												// Set authentication token
												Map authData = new HashMap<>();
												authData.put("token", "xxxxxxx"); // Your valid API key
												options.auth = authData;
									
												// Create socket instance
												socket = IO.socket(new URI(url), options);
									
												// Event listeners
												socket.on(Socket.EVENT_CONNECT, new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("connect!");
														System.out.println("Waiting to be able to send data...");
													}
												});
									
												socket.on("error", new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("error! " + (args.length > 0 ? args[0] : "unknown"));
													}
												});
									
												socket.on("connected", new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("Connection status: " + (args.length > 0 ? args[0] : "unknown"));
													}
												});
									
												socket.on("start", new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("Speaqr is ready to receive data. Speak now in English!!!!");
														startRecording();
													}
												});
									
												socket.on("result", new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("first response\n-----------------------\n\n");
														System.out.println(args.length > 0 ? args[0] : "unknown");
														System.out.println("\n\n-----------------------\n\n");
									
														System.out.println("We stopped listening!");
														stopRecording();
														socket.disconnect();
													}
												});
									
												socket.on(Socket.EVENT_DISCONNECT, new Emitter.Listener() {
													@Override
													public void call(Object... args) {
														System.out.println("disconnect! Reason: " + (args.length > 0 ? args[0] : "unknown"));
														System.exit(0);
													}
												});
									
												// Connecting
												System.out.println("Connecting to sockets...");
												socket.connect();
									
											} catch (URISyntaxException e) {
												e.printStackTrace();
												System.exit(1);
											}
										}
									
										// Start capturing and processing microphone audio
										private static void startRecording() {
											recording = true;
											new Thread(() -> {
												try {
													AudioFormat format = new AudioFormat(16000, 16, 1, true, false);
													DataLine.Info info = new DataLine.Info(TargetDataLine.class, format);
									
													if (!AudioSystem.isLineSupported(info)) {
														System.err.println("Microphone not supported");
														return;
													}
									
													microphone = (TargetDataLine) AudioSystem.getLine(info);
													microphone.open(format);
													microphone.start();
									
													byte[] buffer = new byte[1024];
													ByteArrayOutputStream out = new ByteArrayOutputStream();
									
													System.out.println("Recording...");
									
													while (recording) {
														int bytesRead = microphone.read(buffer, 0, buffer.length);
														if (bytesRead > 0) {
															// Print a small portion of the buffer for debugging
															System.out.println("Captured audio data: " + Arrays.toString(Arrays.copyOf(buffer, 10)) + "...");
															socket.emit("write_stream", buffer);
														}
													}
									
													microphone.stop();
													microphone.close();
													out.close();
													System.out.println("Recording stopped.");
									
												} catch (LineUnavailableException | IOException e) {
													e.printStackTrace();
												}
											}).start();
										}
									
										// Stop the process
										private static void stopRecording() {
											recording = false;
										}
									
										// Helper method to encode JSON in query params
										private static String encode(String value) {
											return value.replace("{", "%7B").replace("}", "%7D")
														.replace("\"", "%22").replace(":", "%3A")
														.replace(",", "%2C").replace(" ", "%20");
										}	
									}
								

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