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polly-text-split
Advanced tools
Adaptively split plain text by batches with size of <=1500 characters each to overcome AWS Polly TTS input limitations. By default, this utility splits text by the nearest dot (.) or if no dot found - it searches for other characters, that we can set by our own or use the defaults.
When you use method synthesizeSpeech()
of AWS Polly TTS SDK you cannot pass more than 1500 character at a time. If you have a long text, it can become tedious to manually split it at the right positions. This little library solves this problem by splitting your text by batches suitable for Polly input.
Also, given that the AWS Polly is a context aware text-to-speech system, it adjusts speech pronunciation and accents based on punctuation too. So this library tries to keep speech natural by splitting only at the right places:
.
,
or ;
(by default, can be configured)
HARD_LIMIT
indexnpm install polly-text-split
const pollyTextSplit = require('polly-text-split')
// 1. Method split() return array of strings.
const batches = pollyTextSplit.split('your long text here')
// 2. Method splitIndex() returns index of the possible split position.
const splitIndex = pollyRuSSML.splitIndex('your long text here')
// So you can split manually using native string method
const batch = 'your long text here'.slice(0, splitIndex + 1)
By default, configuration is not necessary, but if you need to set your own limits or split characters - use method configure()
.
const pollyTextSplit = require('polly-text-split')
// Configuration example with default values
const options = {
// MAX length of a single batch of split text
hardLimit: 1500,
// MIN length of a single batch of split text
softLimit: 1000,
// Set of extra split characters (Optional property)
extraSplitChars: ',;'
}
pollyTextSplit.configure(options)
// Use with new configuration
const batches = pollyTextSplit.split('your long text here')
npm test
Any contributions are very welcome.
MIT.
FAQs
Text splitter for working with AWS Polly TTS.
We found that polly-text-split demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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