这篇“Python怎么实现PDF转MP3”文章的知识点大部分人都不太理解,所以小编给大家总结了以下内容,内容详细,步骤清晰,具有一定的借鉴价值,希望大家阅读完这篇文章能有所收获,下面我们一起来看看这篇“Python怎么实现PDF转MP3”文章吧。
我们平常看到很多文件都是PDF格式,网上的各类书籍多为此格式。有时候不方便阅读,或者怕费眼睛伤颈椎,那么有没有一种方法可以把它变为音频,这样上下班路上也就可以听一听。
这里做个科普,什么是TTS?TTS(Text To Speech,文本转语音)是语音合成应用的一种,它将储存于电脑中的文件,如帮助文件或者网页,转换成自然语音输出。edge-tts就是将微软的语音合成技术,他是将edge浏览器里提供的tts打包成Python第三方包,这样就可以免费调用微软的语音合成技术。
将PDF转为音频MP3文件,需要两步。第一步,将pdf转为txt文本;第二步,将txt转为音频。所以我们需要以下两个库。
1. 安装pdfplumber包,用于将pdf转为txt
(base) C:\Users\Administrator>pip install pdfplumber
Collecting pdfplumber
Downloading pdfplumber-0.9.0-py3-none-any.whl (46 kB)
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Downloading pdfminer.six-20221105-py3-none-any.whl (5.6 MB)
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Collecting Wand>=0.6.10
Downloading Wand-0.6.11-py2.py3-none-any.whl (143 kB)
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Installing collected packages: Wand, pdfminer.six, pdfplumber
Successfully installed Wand-0.6.11 pdfminer.six-20221105 pdfplumber-0.9.0
2. 安装edge-tts包,用于将txt转为音频
(base) C:\Users\Administrator>pip install edge-tts
Collecting edge-tts
Downloading edge_tts-6.1.5-py3-none-any.whl (27 kB)
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Installing collected packages: edge-tts
Successfully installed edge-tts-6.1.5
# -*- coding: utf-8 -*- import pdfplumber import asyncio import os import edge_tts from edge_tts import VoicesManager async def txt2mp3(txt,mp3,announcer='Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)') -> None: # 将文本转换为mp3音频 communicate = edge_tts.Communicate(txt, announcer) await communicate.save(mp3) async def get_announcer(Gender="Female", Language="zh"): voices = await VoicesManager.create() voice = voices.find(Gender=Gender, Language=Language) print(voice) if __name__ == "__main__": rootdir = 'd:\\python_csdn\\files\\' filename = '道德经.pdf' pdf_path = rootdir+filename announcer='Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)' if 0: # 查看可用播音角色(性别女性,语言为中文) asyncio.run(get_announcer(Gender="Female", Language="zh")) if 1: # 读取pdf并提取文本到txt文件,并将其内容转为mp3音频文件。 page_num = 0 with pdfplumber.open(pdf_path) as pdf: for page in pdf.pages: textdata = page.extract_text().replace("\n", "")#提取文字后删除末尾换行,以免转音频卡顿 page_num += 1 txt_path = pdf_path.split(".")[0]+"{:03d}".format(page_num)+'.txt' if len(textdata)>0: with open(txt_path ,'a',encoding='utf-8') as txt: txt.write(textdata) print('第'+str(page_num)+'页:',textdata) mp3_path = txt_path.split(".")[0]+'.mp3' asyncio.run(txt2mp3(textdata,mp3_path)) print('第'+str(page_num)+'个txt文件已转音频:',mp3_path) print('Pdf文件共有'+str(page_num)+'页,已转换完成')
很快就搞定啦,见下图。以后再想听PDF就把上面代码跑起来!
在以上程序中修改以下代码if条件为1,即可查看可用播音角色。
if 1: # 查看可用播音角色(性别女性,语言为中文),男性Gender="Male" asyncio.run(get_announcer(Gender="Female", Language="zh"))
运行后结果为一个list,通过json格式化后,如下所示。变更播音员只需要使用Name值替换前面announcer值即可。是不是很简单?
[{ 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-HK, HiuGaaiNeural)', 'ShortName': 'zh-HK-HiuGaaiNeural', 'Gender': 'Female', 'Locale': 'zh-HK', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft HiuGaai Online (Natural) - Chinese (Cantonese Traditional)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['General'], 'VoicePersonalities': ['Friendly', 'Positive'] }, 'Language': 'zh' }, { 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-HK, HiuMaanNeural)', 'ShortName': 'zh-HK-HiuMaanNeural', 'Gender': 'Female', 'Locale': 'zh-HK', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft HiuMaan Online (Natural) - Chinese (Hong Kong)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['General'], 'VoicePersonalities': ['Friendly', 'Positive'] }, 'Language': 'zh' }, { 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)', 'ShortName': 'zh-CN-XiaoxiaoNeural', 'Gender': 'Female', 'Locale': 'zh-CN', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft Xiaoxiao Online (Natural) - Chinese (Mainland)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['News', 'Novel'], 'VoicePersonalities': ['Warm'] }, 'Language': 'zh' }, { 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoyiNeural)', 'ShortName': 'zh-CN-XiaoyiNeural', 'Gender': 'Female', 'Locale': 'zh-CN', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft Xiaoyi Online (Natural) - Chinese (Mainland)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['Cartoon', 'Novel'], 'VoicePersonalities': ['Lively'] }, 'Language': 'zh' }, { 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN-liaoning, XiaobeiNeural)', 'ShortName': 'zh-CN-liaoning-XiaobeiNeural', 'Gender': 'Female', 'Locale': 'zh-CN-liaoning', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft Xiaobei Online (Natural) - Chinese (Northeastern Mandarin)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['Dialect'], 'VoicePersonalities': ['Humorous'] }, 'Language': 'zh' }, { 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-TW, HsiaoChenNeural)', 'ShortName': 'zh-TW-HsiaoChenNeural', 'Gender': 'Female', 'Locale': 'zh-TW', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft HsiaoChen Online (Natural) - Chinese (Taiwan)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['General'], 'VoicePersonalities': ['Friendly', 'Positive'] }, 'Language': 'zh' }, { 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-TW, HsiaoYuNeural)', 'ShortName': 'zh-TW-HsiaoYuNeural', 'Gender': 'Female', 'Locale': 'zh-TW', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft HsiaoYu Online (Natural) - Chinese (Taiwanese Mandarin)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['General'], 'VoicePersonalities': ['Friendly', 'Positive'] }, 'Language': 'zh' }, { 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN-shaanxi, XiaoniNeural)', 'ShortName': 'zh-CN-shaanxi-XiaoniNeural', 'Gender': 'Female', 'Locale': 'zh-CN-shaanxi', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft Xiaoni Online (Natural) - Chinese (Zhongyuan Mandarin Shaanxi)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['Dialect'], 'VoicePersonalities': ['Bright'] }, 'Language': 'zh' }]
查看所有播音角色,执行命令:>edge-tts --list-voices
(base) C:\Users\Administrator>edge-tts --list-voices Name: af-ZA-AdriNeural Gender: Female Name: af-ZA-WillemNeural Gender: Male Name: am-ET-AmehaNeural Gender: Male Name: am-ET-MekdesNeural Gender: Female Name: ar-AE-FatimaNeural Gender: Female Name: ar-AE-HamdanNeural Gender: Male Name: ar-BH-AliNeural Gender: Male Name: ar-BH-LailaNeural Gender: Female Name: ar-DZ-AminaNeural Gender: Female Name: ar-DZ-IsmaelNeural Gender: Male Name: ar-EG-SalmaNeural Gender: Female Name: ar-EG-ShakirNeural Gender: Male Name: ar-IQ-BasselNeural Gender: Male Name: ar-IQ-RanaNeural Gender: Female Name: ar-JO-SanaNeural Gender: Female Name: ar-JO-TaimNeural Gender: Male Name: ar-KW-FahedNeural Gender: Male Name: ar-KW-NouraNeural Gender: Female Name: ar-LB-LaylaNeural Gender: Female Name: ar-LB-RamiNeural Gender: Male Name: ar-LY-ImanNeural Gender: Female Name: ar-LY-OmarNeural Gender: Male Name: ar-MA-JamalNeural Gender: Male Name: ar-MA-MounaNeural Gender: Female Name: ar-OM-AbdullahNeural Gender: Male Name: ar-OM-AyshaNeural Gender: Female Name: ar-QA-AmalNeural Gender: Female Name: ar-QA-MoazNeural Gender: Male Name: ar-SA-HamedNeural Gender: Male Name: ar-SA-ZariyahNeural Gender: Female Name: ar-SY-AmanyNeural Gender: Female Name: ar-SY-LaithNeural Gender: Male Name: ar-TN-HediNeural Gender: Male Name: ar-TN-ReemNeural Gender: Female Name: ar-YE-MaryamNeural Gender: Female Name: ar-YE-SalehNeural Gender: Male Name: az-AZ-BabekNeural Gender: Male Name: az-AZ-BanuNeural Gender: Female Name: bg-BG-BorislavNeural Gender: Male Name: bg-BG-KalinaNeural Gender: Female Name: bn-BD-NabanitaNeural Gender: Female Name: bn-BD-PradeepNeural Gender: Male Name: bn-IN-BashkarNeural Gender: Male Name: bn-IN-TanishaaNeural Gender: Female Name: bs-BA-GoranNeural Gender: Male Name: bs-BA-VesnaNeural Gender: Female Name: ca-ES-EnricNeural Gender: Male Name: ca-ES-JoanaNeural Gender: Female Name: cs-CZ-AntoninNeural Gender: Male Name: cs-CZ-VlastaNeural Gender: Female Name: cy-GB-AledNeural Gender: Male Name: cy-GB-NiaNeural Gender: Female Name: da-DK-ChristelNeural Gender: Female Name: da-DK-JeppeNeural Gender: Male Name: de-AT-IngridNeural Gender: Female Name: de-AT-JonasNeural Gender: Male Name: de-CH-JanNeural Gender: Male Name: de-CH-LeniNeural Gender: Female Name: de-DE-AmalaNeural Gender: Female Name: de-DE-ConradNeural Gender: Male Name: de-DE-KatjaNeural Gender: Female Name: de-DE-KillianNeural Gender: Male Name: el-GR-AthinaNeural Gender: Female Name: el-GR-NestorasNeural Gender: Male Name: en-AU-NatashaNeural Gender: Female Name: en-AU-WilliamNeural Gender: Male Name: en-CA-ClaraNeural Gender: Female Name: en-CA-LiamNeural Gender: Male Name: en-GB-LibbyNeural Gender: Female Name: en-GB-MaisieNeural Gender: Female Name: en-GB-RyanNeural Gender: Male Name: en-GB-SoniaNeural Gender: Female Name: en-GB-ThomasNeural Gender: Male Name: en-HK-SamNeural Gender: Male Name: en-HK-YanNeural Gender: Female Name: en-IE-ConnorNeural Gender: Male Name: en-IE-EmilyNeural Gender: Female Name: en-IN-NeerjaExpressiveNeural Gender: Female Name: en-IN-NeerjaNeural Gender: Female Name: en-IN-PrabhatNeural Gender: Male Name: en-KE-AsiliaNeural Gender: Female Name: en-KE-ChilembaNeural Gender: Male Name: en-NG-AbeoNeural Gender: Male Name: en-NG-EzinneNeural Gender: Female Name: en-NZ-MitchellNeural Gender: Male Name: en-NZ-MollyNeural Gender: Female Name: en-PH-JamesNeural Gender: Male Name: en-PH-RosaNeural Gender: Female Name: en-SG-LunaNeural Gender: Female Name: en-SG-WayneNeural Gender: Male Name: en-TZ-ElimuNeural Gender: Male Name: en-TZ-ImaniNeural Gender: Female Name: en-US-AnaNeural Gender: Female Name: en-US-AriaNeural Gender: Female Name: en-US-ChristopherNeural Gender: Male Name: en-US-EricNeural Gender: Male Name: en-US-GuyNeural Gender: Male Name: en-US-JennyNeural Gender: Female Name: en-US-MichelleNeural Gender: Female Name: en-US-RogerNeural Gender: Male Name: en-US-SteffanNeural Gender: Male Name: en-ZA-LeahNeural Gender: Female Name: 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