Language Translator Using Google API in Python

Last Updated : 09 Sep, 2024

API stands for Application Programming Interface. It acts as an intermediate between two applications or software. In simple terms, API acts as a messenger that takes your request to destinations and then brings back its response for you. Google API is developed by Google to allow communications with their servers and use their API keys to develop projects.

In this tutorial, we are going to use Google API to build a Language Translator which can translate one language to another language. On the internet, we can see lots of projects on Speech Recognitions, Speech to text, text to speech, etc. but here in this project we are going to build something more advance than that.

Let’s assume a scenario, we are traveling in Spain and we don’t know how to speak Spanish or we are in any other country and we don’t know their native language, then we can use this tool to overcome the problem. We can translate between all those languages which are present in google translator.

Installation

Now to Check what languages it supports we have to use google trans library. We can use pip to install it.

pip install googletrans

Now to check which languages it supports to run the following code.

# To Print all the languages that google
# translator supports
import googletrans


print(googletrans.LANGUAGES)

Output:

Now let’s start building Language Translator. To begin with the coding part, we need to install some dependencies. While installing Pyaudio you might get an error of portaudio. For details of installation of pyaudio click here.

pip install pyaudio
pip install SpeechRecognition
pip install gtts

Below is the implementation.

# Importing necessary modules required
import speech_recognition as spr
from googletrans import Translator
from gtts import gTTS
import os


# Creating Recogniser() class object
recog1 = spr.Recognizer()

# Creating microphone instance
mc = spr.Microphone()

# Function to capture voice and recognize text
def recognize_speech(recog, source):
    try:
        recog.adjust_for_ambient_noise(source, duration=0.2)  # Adjust for background noise
        audio = recog.listen(source)  # Capture audio input
        recognized_text = recog.recognize_google(audio)  # Recognize using Google's recognizer
        return recognized_text.lower()
    except spr.UnknownValueError:
        print("Google Speech Recognition could not understand the audio.")
        return None
    except spr.RequestError as e:
        print(f"Could not request results from Google Speech Recognition service; {e}")
        return None

# Capture initial voice
with mc as source:
    print("Speak 'hello' to initiate the Translation!")
    print("~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~")
    MyText = recognize_speech(recog1, source)

# Check if the input contains 'hello'
if MyText and 'hello' in MyText:
    # Translator method for translation
    translator = Translator()

    # Source and target languages
    from_lang = 'en'
    to_lang = 'hi'

    with mc as source:
        print("Speak a sentence to translate...")
        get_sentence = recognize_speech(recog1, source)

        # If sentence recognized properly
        if get_sentence:
            try:
                # Print sentence to be translated
                print(f"Phrase to be Translated: {get_sentence}")

                # Translate the text
                text_to_translate = translator.translate(get_sentence, src=from_lang, dest=to_lang)
                translated_text = text_to_translate.text

                # Convert translated text to speech
                speak = gTTS(text=translated_text, lang=to_lang, slow=False)

                # Save the translated speech to a file
                speak.save("captured_voice.mp3")

                # Play the speech
                os.system("start captured_voice.mp3")

            except Exception as e:
                print(f"An error occurred: {e}")
        else:
            print("Unable to capture the sentence for translation.")

Output:

Speak 'hello' to initiate the Translation !
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Speak a stentence...
Phase to be Translated :what are you doing