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Getting Started with the TTSFree API: Generate Hindi Speech with cURL

Getting Started with the TTSFree API: Generate Hindi Speech with cURL TTSFree.in provides an API for developers who want to integrate AI text-to-speech and other audio capabilities into their applications. The API supports text-to-speech in Hindi, Tamil, Bengali and other Indian languages, along with 23 world languages. Speech-to-text, translation and sound effects are also available. API access…

TTSFree.in offers a text-to-speech API that developers can incorporate into their applications to enable AI-powered speech capabilities. The platform supports text-to-speech in various Indian languages, including Hindi, Tamil, Bengali, and 23 other world languages. In addition to text-to-speech, the API also provides speech-to-text, translation, and sound effect functionalities.

To utilize the TTSFree API, one must obtain an API key by creating an account and selecting a Starter, Creator, Pro plan, or Business pack. API documentation can be accessed at https://ttsfree.in/developers.

Once an API key is generated, it should be securely stored on the server and never exposed in browser-side code. To generate speech in Hindi using the cURL command-line tool, the following steps are involved:

1. Replace "YOUR_API_KEY" with the actual API key obtained from the TTSFree dashboard.

2. Craft a JSON request containing the desired speech parameters, such as the text content, speaker, language, and preferred emotion.

3. Send a POST request to the API endpoint "https://ttsfree.in/v1/jobs" to initiate a new speech generation job. Include the API key as the Authorization header and the Content-Type as "application/json".

4. Extract the job ID from the response, which will be used to monitor the job's status and retrieve the generated speech URL.

5. Continuously check the job status by sending GET requests to the API endpoint "https://ttsfree.in/v1/jobs/{JOB_ID}" until the job reaches the "queued" or "running" status or is broken.

6. Once the job is completed (status not equal to "queued" or "running"), extract the generated speech URL from the response.

7. Finally, download the speech file by sending a GET request to the generated speech URL and save it as a "hello.wav" file.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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