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convert HTML to audio.","homepage":"https://github.com/Arro/earthy-player#readme","keywords":["text to speech"],"repository":{"type":"git","url":"git+https://github.com/Arro/earthy-player.git"},"bugs":{"url":"https://github.com/Arro/earthy-player/issues"},"license":"MIT","readme":"# Earthy Player\n\n<img src=\"https://repository-images.githubusercontent.com/287707812/2242f100-4a9f-11eb-92b5-aa7d76758c55\" width=300/>\n\n### Intelligently convert HTML to audio.\n\n[![CircleCI](https://img.shields.io/circleci/build/gh/Arro/earthy-player)](https://circleci.com/gh/Arro/earthy-player)\n\n## Motivation\n\nI've never been a fast reader. When I'm given a choice between a physical book, and an audiobook of\nthe same content, I'll reach for the latter... 100 times out of 100. Whenever there's a long piece\nof text I need to read, I always look for an audio option first. While these options are expanding\nin recent years, the vast majority of online prose does not allow for listening.\n\nYou can use your device's in-built accessibility tools to do text-to-speech. You can ask Siri \"read\nthis article\" and it **sometimes** works. But even when it does, this is far from ideal.\n\nI've tried various text-to-speech APIs, and Google Cloud's is the best I've found. They use some\nsort of machine-learning magic, and as a result, the output sounds extremely lifelike. This is far\nmore similar to a real human voice than AWS' equivalent offering (\"Polly\"), for example.\n\nSo I find myself writing various packages to convert HTML to an audio file I can listen to.\nTherefore, I wanted to make an npm package from which all of my _other_ projects can import. This is\nthat project.\n\n## What It Does\n\nIt can do the following things:\n\n1. Take an HTML file and pull out the actual content of the article.\n1. Break this text apart into \"segments\". This means putting pauses in the places where pauses\n   should go, adding sound effects as desired, and cleaning up various abbreviations.\n1. Take this \"segments\" file from the previous step and create an mp3 file.\n\nAlso:\n\n1. The Google API will not work if you give it too much text at a time. This repo abstracts away\n   that problem for you, chunking it into separate requests.\n1. There are other potential headaches this repo may alleviate, and I will add them to this list\n   later.\n\n## Quick Start\n\nYou'll need to create a [Google Cloud](https://cloud.google.com/) API key. You can use\n[this article](https://cloud.google.com/docs/authentication/getting-started) as instructions, but\nthe important part is that you end up with a file at `~/.google-api-credentials.json`. You'll need\nto create a project within their console, and then enable the \"Cloud Text-to-Speech API\" on that\nproject.\n\nYou'll also need `ffmpeg` installed. Install this with `brew install ffmpeg` or similar.\n\nLet's say you want to convert\n[this article](https://local.theonion.com/cat-seemed-perfectly-content-right-up-until-point-he-bo-1819575397)\nto speech. First clone this repo:\n\n`git clone https://github.com/Arro/earthy-player.git`\n\nNext, go to the example directory:\n\n`cd earthy-player/example`\n\nNext, install the example:\n\n`npm install`\n\nNow, run it:\n\n`npm start`\n\nFinally, check your `~/Downloads` folder. There should be a new folder there called `readme-cat/`.\n\n## Run the Tests\n\nThese are the commands:\n\n1. `npm run test` to run the tests. This repo uses `ava` for testing.\n1. `npm run tdd` to run the test with \"--watch\" enabled.\n","readmeFilename":"README.md"}