Language Translator Using Python (original) (raw)

Last Updated : 18 Apr, 2026

A language translator is a tool that converts text or speech from one language to another, helping people understand and communicate in different languages. In this tutorial, we will build a Voice-based Language Translator in Python

The translator will:

• Take your speech input in one language
• Translate it to another language
• Convert the translated text into speech

Libraries Installation

We will use the following Python libraries:

• **googletrans: To translate text
• **SpeechRecognition: To capture and recognize speech
• **PyAudio: To use the microphone
• **gTTS: To convert text into speech

Install the libraries using pip:

pip install googletrans
pip install SpeechRecognition
pip install PyAudio
pip install gTTS

**Note: Installing PyAudio on Windows may require portaudio setup

Voice Translator

The following Python code captures your speech, translates it to another language, and plays the translated audio.

Python `

import speech_recognition as sr from googletrans import Translator from gtts import gTTS import os

recog = sr.Recognizer() mic = sr.Microphone()

def recognize_speech(recog, source): try: recog.adjust_for_ambient_noise(source, duration=0.2)
audio = recog.listen(source)
text = recog.recognize_google(audio)
return text.lower() except sr.UnknownValueError: print("Could not understand the audio.") return None except sr.RequestError as e: print(f"Error from Google Speech Recognition service; {e}") return None

with mic as source: print("Speak 'hello' to start the translation!") user_input = recognize_speech(recog, source)

if user_input and 'hello' in user_input: translator = Translator()

from_lang = 'en'  
to_lang = 'hi'    

with mic as source:
    print("Speak a sentence to translate...")
    sentence = recognize_speech(recog, source)
    
    if sentence:
        try:
            print(f"Phrase to be Translated: {sentence}")
            translated_text = translator.translate(sentence, src=from_lang, dest=to_lang).text
            print(f"Translated Text: {translated_text}")
            
            speech = gTTS(text=translated_text, lang=to_lang, slow=False)
            speech.save("translated_voice.mp3")
            
            os.system("start translated_voice.mp3")
        
        except Exception as e:
            print(f"An error occurred: {e}")
    else:
        print("Could not capture the sentence.")

`

**Output

Speak 'hello' to start the translation!
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Speak a sentence to translate...
Phrase to be Translated: What are you doing
Translated Text: आप क्या कर रहे हैं

**Explanation:

• **recog = sr.Recognizer() & mic = sr.Microphone(): Initializes recognizer and microphone objects.
• **recognize_speech(recog, source): Captures audio, adjusts for ambient noise, converts it to text, handles errors (UnknownValueError and RequestError).
• **with mic as source: Opens the microphone for input and prompts the user to say “hello”.
• **user_input = recognize_speech(recog, source): Captures and stores the trigger word.
• **translator = Translator(): Initializes Google Translator object.
• **sentence = recognize_speech(recog, source): Captures the sentence to translate.
• **translated_text = translator.translate(sentence, src=from_lang, dest=to_lang).text: Translates the captured text.
• **speech = gTTS(...) & speech.save(...): Converts translated text to speech and saves it as an MP3 file.
• **os.system("start translated_voice.mp3"): Plays the generated audio automatically.