Hindi Text to Speech API

Hindi Text-to-Speech API allows you to convert written text into spoken words. The API supports multiple languages and can be integrated with any application for speech synthesis, voice assistants, and accessibility.

About the API:

 

The Hindi Text-to-Speech API is a technology that converts written Hindi text into natural speech in real-time. This technology is based on advanced algorithms and neural networks capable of analyzing and interpreting text data to generate highly accurate, naturally intoned speech.

Hindi has a rich phonetic and tonal structure, which makes it difficult to develop a text-to-speech system capable of producing high-quality speech. However, thanks to recent advances in machine learning and artificial intelligence, it is now possible to create a robust and reliable Hindi text-to-speech API that can produce speech that is nearly indistinguishable from natural speech.

The Hindi text-to-speech API analyzes text data and breaks it down into smaller units, such as words, phrases and sentences. The system then applies natural language processing techniques to analyze the syntactic and semantic structure of the text and generate a phonetic transcription of the text. This phonetic transcription is then fed into a speech synthesis engine that produces the speech output.

One of the main advantages of the Hindi text-to-speech API is that it can be easily integrated into a wide range of applications and services. For example, it can be used to create voice-based user interfaces for mobile applications or websites, allowing users to interact with digital content using voice commands. It can also be used to deliver audio versions of written content, such as news articles, e-books or educational materials.

In addition, the Hindi text-to-speech API can be customized to suit specific use cases and applications. For example, the speed can be configured for speech production.

In conclusion, the Hindi text-to-speech API is a powerful and versatile technology that can bring many benefits to a wide range of applications and services. By providing natural and expressive speech output, it can improve user experience and accessibility for people with visual impairments or reading difficulties. With continued advances in machine learning and artificial intelligence, the capabilities and applications of the Hindi text-to-speech API are likely to continue to expand and evolve in the coming years.

 

What this API receives and what your API provides (input/output)?


Pass the text you want to convert and you will receive the audio ready to use.

 

What are the most common uses cases of this API?

Accessibility: Text-to-speech can be used to make content accessible to individuals with visual impairments, allowing them to consume text-based content using an audio format.

Voice assistants: Use the API to create voice assistants and chatbots that can interact with users through speech.

Speech synthesis: Use the API to generate spoken output from the written text for use in telephony systems, navigation devices, and other applications.

Customer service: Text-to-speech can be used in customer service applications to provide an interactive experience for users who prefer to communicate via voice rather than text.

E-Learning: Text-to-speech can be used to convert written learning materials, such as textbooks or study guides, into an audio format that can be consumed while doing other activities, such as exercise or driving.

 


Are there any limitations to your plans?


Besides API call limitations per month, there are no other limitations.

API Documentation

Endpoints

Convert your texts to audio with this Instant Text-to-Speech (TTS) using realistic voices.

You will receive the URL of where your MP3 file is located. Later you can download it if needed. 

Gender voice. Options: male, female or neutral.

  • hi_IN (Hindi)

 

Please add "text_premium_" (if text content) or "ssml_premium_" (if SSML code) before the language code if you want to use the premium voice (for e.g. for hi_IN will be text_premium_hi_IN)



                                                                            
POST https://zylalabs.com/api/1797/hindi+text+to+speech+api/1449/convert
                                                                            
                                                                        

Convert - Endpoint Features
Object Description
text [Required] Your text content. 10000 characters limit for any plan.
gender_voice [Required] Gender voice. Options: male, female or neutral.
language [Required] Please add "text_premium_" (if text content) or "ssml_premium_" (if SSML code) before the language code if you want to use the premium voice (for e.g. for hi_IN will be text_premium_hi_IN)
speakingRate [Optional] Declare the speed of the voice. The ranges are between 0.25 (slow) and 1 (normal).
Test Endpoint
API EXAMPLE RESPONSE
       
                                                                                                        
                                                                                                                                                                                                                            {"message":"Your audio has been created!","audio_src":"https:\/\/getwoord.s3.amazonaws.com\/75429198816790855426414cfe6588f62.58214317.mp3","error":false}
                                                                                                                                                                                                                    
                                                                                                    

Convert - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/1797/hindi+text+to+speech+api/1449/convert?text=sabhee ko namaskaar&gender_voice=female&language=hi_IN' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Hindi Text to Speech API REST API, simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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