Large text to speech

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通过 k_1 | 已更新 il y a un mois | Artificial Intelligence/Machine Learning

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Generating speech audio from large texts using API. (Free)

This tutorial shows how to use the Large text to speech API to generate audio from text.

Convert any text to audio in 20 lines of python code.

Listen to any article on web with few lines of Python.

Turn any article, from your favorite websites, into a mini podcast that you can listen to while doing chores or commuting.

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README

For working example code in all languages see Endpoints

POST

Creates a text to speech job (currently only English language is supported) , which returns ID of the request and ETA (estimated time to completion, in seconds).

Example request body

{
    "text": "Hello, how are you"
}

Example response

{
    "id":"8c011493-d577-4c01-8eb5-6e5951f04d66"
    "status":"processing"
    "eta":3
    "text":"Hello, how are you"
}

GET

Returns the status of the request based on the ID.
If the job is successful it returns URL of the audio file for download. This URL is valid for 24 hours.

Example request

query parameter id (authentication headers are required, see Endpoints for working example code)

https://large-text-to-speech.p.rapidapi.com/tts?id=56fce01a-6590-4b2c-b9a0-fe9d6b702121

Example response - status processing

{
    "id":"f5762bf2-238a-4980-aae9-ac1bb40e2564"
    "status":"processing"
    "eta":93
}

Example response - status success

{
    "id":"f5762bf2-238a-4980-aae9-ac1bb40e2564"
    "status":"success"
    "url":"https://s3.eu-central-1.amazonaws.com/tts-download/3f6b2c173b94c8e21a296924f3c64b0d.wav?X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Credential=AKIAZ3CYNLHHVKA7D7Z4%2F20220212%2Feu-central-1%2Fs3%2Faws4_request&amp;X-Amz-Date=20220212T174600Z&amp;X-Amz-Expires=86400&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Signature=7aeacc40bc0659931336eae2e7d96835f4a6d23891b26d78cd9fae9e064577b0"
    "job_time":104
}

Example response - status fail

{
    "id": "56fce01a-6590-4b2c-b9a0-fe9d6b702121",
    "status": "fail",
    "error": "processing failed"
}