mic, microphone, sound check

Ultimate Text To Speech Converter

This program uses a multiple column .csv file to create .mp3 audio files, row by row, alternating voices.

Usage

Ever wanted to create a conversational style of audio file? This script allows you to do that. The script alternates voice selection by column, so by setting different voices you can create the illusion of a conversation!

Prerequisites

You will need to install the “edge TTS” and “pydub” libraries.

pip install edge-tts
pip install pydub

How to use it

  1. Save the script below in the folder of your choice
  2. Rename the file you want to convert to audio as “input.csv” and save it in the same folder as the script. Each row will be converted to a separate audio file.
  3. Run the script
  4. The audio files are saved in the “output” folder
import asyncio
import edge_tts
import csv
import os
import subprocess

async def process_text(text, voice, output_filename):
    try:
        communicate = edge_tts.Communicate(text, voice)
        await communicate.save(output_filename)
    except RuntimeError as e:
        print(e)

async def main():
    # Read CSV
    with open('input.csv', 'r') as csv_file:
        csv_reader = csv.reader(csv_file)
        rows = list(csv_reader)

    voices = ["en-GB-SoniaNeural", "en-GB-ThomasNeural"]
    output_folder = "output"

    if not os.path.exists(output_folder):
        os.makedirs(output_folder)

    for i, row in enumerate(rows, start=1):
        concatenated_audio = []

        for j, cell_text in enumerate(row):
            if cell_text.strip():
                voice = voices[j % len(voices)]
                output_filename = os.path.join(output_folder, f"{i}_{j}.mp3")
                
                try:
                    await process_text(cell_text, voice, output_filename)
                    concatenated_audio.append(output_filename)
                except RuntimeError as e:
                    print(e)

            await asyncio.sleep(0.1)  # Small gap between elements

        if concatenated_audio:
            combined_filename = os.path.join(output_folder, f"{i}.mp3")
            
            # Concatenate audio using ffmpeg
            concat_command = [
                "ffmpeg",
                "-i",
                f"concat:{'|'.join(concatenated_audio)}",
                "-c",
                "copy",
                combined_filename
            ]
            subprocess.run(concat_command, check=True)
            
            # Delete individual element audio files
            for audio_file in concatenated_audio:
                os.remove(audio_file)

    print("Finished")

loop = asyncio.new_event_loop()
loop.run_until_complete(main())
loop.close()

This script uses “Sonia” and “Thomas”, UK accented voices. At the end of this post I provide the complete list of Edge TTS voices: just replace “en-GB-SoniaNeural” and “en-GB-ThomasNeural” with your preferred voices.

Edge TTS Voices

How to read the voice labels:
EXAMPLE: en-IN-NeerjaNeural, Gender: Female
en – means the voice speaks English
IN – means the accent is Indian

Name: af-ZA-AdriNeural, Gender: FemaleName: af-ZA-WillemNeural, Gender: Male
Name: am-ET-AmehaNeural, Gender: MaleName: am-ET-MekdesNeural, Gender: Female
Name: ar-AE-FatimaNeural, Gender: FemaleName: ar-AE-HamdanNeural, Gender: Male
Name: ar-BH-AliNeural, Gender: MaleName: ar-BH-LailaNeural, Gender: Female
Name: ar-DZ-AminaNeural, Gender: FemaleName: ar-DZ-IsmaelNeural, Gender: Male
Name: ar-EG-SalmaNeural, Gender: FemaleName: ar-EG-ShakirNeural, Gender: Male
Name: ar-IQ-BasselNeural, Gender: MaleName: ar-IQ-RanaNeural, Gender: Female
Name: ar-JO-SanaNeural, Gender: FemaleName: ar-JO-TaimNeural, Gender: Male
Name: ar-KW-FahedNeural, Gender: MaleName: ar-KW-NouraNeural, Gender: Female
Name: ar-LB-LaylaNeural, Gender: FemaleName: ar-LB-RamiNeural, Gender: Male
Name: ar-LY-ImanNeural, Gender: FemaleName: ar-LY-OmarNeural, Gender: Male
Name: ar-MA-JamalNeural, Gender: MaleName: ar-MA-MounaNeural, Gender: Female
Name: ar-OM-AbdullahNeural, Gender: MaleName: ar-OM-AyshaNeural, Gender: Female
Name: ar-QA-AmalNeural, Gender: FemaleName: ar-QA-MoazNeural, Gender: Male
Name: ar-SA-HamedNeural, Gender: MaleName: ar-SA-ZariyahNeural, Gender: Female
Name: ar-SY-AmanyNeural, Gender: FemaleName: ar-SY-LaithNeural, Gender: Male
Name: ar-TN-HediNeural, Gender: MaleName: ar-TN-ReemNeural, Gender: Female
Name: ar-YE-MaryamNeural, Gender: FemaleName: ar-YE-SalehNeural, Gender: Male
Name: az-AZ-BabekNeural, Gender: MaleName: az-AZ-BanuNeural, Gender: Female
Name: bg-BG-BorislavNeural, Gender: MaleName: bg-BG-KalinaNeural, Gender: Female
Name: bn-BD-NabanitaNeural, Gender: FemaleName: bn-BD-PradeepNeural, Gender: Male
Name: bn-IN-BashkarNeural, Gender: MaleName: bn-IN-TanishaaNeural, Gender: Female
Name: bs-BA-GoranNeural, Gender: MaleName: bs-BA-VesnaNeural, Gender: Female
Name: ca-ES-EnricNeural, Gender: MaleName: ca-ES-JoanaNeural, Gender: Female
Name: cs-CZ-AntoninNeural, Gender: MaleName: cs-CZ-VlastaNeural, Gender: Female
Name: cy-GB-AledNeural, Gender: MaleName: cy-GB-NiaNeural, Gender: Female
Name: da-DK-ChristelNeural, Gender: FemaleName: da-DK-JeppeNeural, Gender: Male
Name: de-AT-IngridNeural, Gender: FemaleName: de-AT-JonasNeural, Gender: Male
Name: de-CH-JanNeural, Gender: MaleName: de-CH-LeniNeural, Gender: Female
Name: de-DE-AmalaNeural, Gender: FemaleName: de-DE-ConradNeural, Gender: Male
Name: de-DE-KatjaNeural, Gender: FemaleName: de-DE-KillianNeural, Gender: Male
Name: el-GR-AthinaNeural, Gender: FemaleName: el-GR-NestorasNeural, Gender: Male
Name: en-AU-NatashaNeural, Gender: FemaleName: en-AU-WilliamNeural, Gender: Male
Name: en-CA-ClaraNeural, Gender: FemaleName: en-CA-LiamNeural, Gender: Male
Name: en-GB-LibbyNeural, Gender: FemaleName: en-GB-MaisieNeural, Gender: Female
Name: en-GB-RyanNeural, Gender: MaleName: en-GB-SoniaNeural, Gender: Female
Name: en-GB-ThomasNeural, Gender: MaleName: en-HK-SamNeural, Gender: Male
Name: en-HK-YanNeural, Gender: FemaleName: en-IE-ConnorNeural, Gender: Male
Name: en-IE-EmilyNeural, Gender: FemaleName: en-IN-NeerjaExpressiveNeural, Gender: Female
Name: en-IN-NeerjaNeural, Gender: FemaleName: en-IN-PrabhatNeural, Gender: Male
Name: en-KE-AsiliaNeural, Gender: FemaleName: en-KE-ChilembaNeural, Gender: Male
Name: en-NG-AbeoNeural, Gender: MaleName: en-NG-EzinneNeural, Gender: Female
Name: en-NZ-MitchellNeural, Gender: MaleName: en-NZ-MollyNeural, Gender: Female
Name: en-PH-JamesNeural, Gender: MaleName: en-PH-RosaNeural, Gender: Female
Name: en-SG-LunaNeural, Gender: FemaleName: en-SG-WayneNeural, Gender: Male
Name: en-TZ-ElimuNeural, Gender: MaleName: en-TZ-ImaniNeural, Gender: Female
Name: en-US-AnaNeural, Gender: FemaleName: en-US-AriaNeural, Gender: Female
Name: en-US-ChristopherNeural, Gender: MaleName: en-US-EricNeural, Gender: Male
Name: en-US-GuyNeural, Gender: MaleName: en-US-JennyNeural, Gender: Female
Name: en-US-MichelleNeural, Gender: FemaleName: en-US-RogerNeural, Gender: Male
Name: en-US-SteffanNeural, Gender: MaleName: en-ZA-LeahNeural, Gender: Female
Name: en-ZA-LukeNeural, Gender: MaleName: es-AR-ElenaNeural, Gender: Female
Name: es-AR-TomasNeural, Gender: MaleName: es-BO-MarceloNeural, Gender: Male
Name: es-BO-SofiaNeural, Gender: FemaleName: es-CL-CatalinaNeural, Gender: Female
Name: es-CL-LorenzoNeural, Gender: MaleName: es-CO-GonzaloNeural, Gender: Male
Name: es-CO-SalomeNeural, Gender: FemaleName: es-CR-JuanNeural, Gender: Male
Name: es-CR-MariaNeural, Gender: FemaleName: es-CU-BelkysNeural, Gender: Female
Name: es-CU-ManuelNeural, Gender: MaleName: es-DO-EmilioNeural, Gender: Male
Name: es-DO-RamonaNeural, Gender: FemaleName: es-EC-AndreaNeural, Gender: Female
Name: es-EC-LuisNeural, Gender: MaleName: es-ES-AlvaroNeural, Gender: Male
Name: es-ES-ElviraNeural, Gender: FemaleName: es-GQ-JavierNeural, Gender: Male
Name: es-GQ-TeresaNeural, Gender: FemaleName: es-GT-AndresNeural, Gender: Male
Name: es-GT-MartaNeural, Gender: FemaleName: es-HN-CarlosNeural, Gender: Male
Name: es-HN-KarlaNeural, Gender: FemaleName: es-MX-DaliaNeural, Gender: Female
Name: es-MX-JorgeNeural, Gender: MaleName: es-NI-FedericoNeural, Gender: Male
Name: es-NI-YolandaNeural, Gender: FemaleName: es-PA-MargaritaNeural, Gender: Female
Name: es-PA-RobertoNeural, Gender: MaleName: es-PE-AlexNeural, Gender: Male
Name: es-PE-CamilaNeural, Gender: FemaleName: es-PR-KarinaNeural, Gender: Female
Name: es-PR-VictorNeural, Gender: MaleName: es-PY-MarioNeural, Gender: Male
Name: es-PY-TaniaNeural, Gender: FemaleName: es-SV-LorenaNeural, Gender: Female
Name: es-SV-RodrigoNeural, Gender: MaleName: es-US-AlonsoNeural, Gender: Male
Name: es-US-PalomaNeural, Gender: FemaleName: es-UY-MateoNeural, Gender: Male
Name: es-UY-ValentinaNeural, Gender: FemaleName: es-VE-PaolaNeural, Gender: Female
Name: es-VE-SebastianNeural, Gender: MaleName: et-EE-AnuNeural, Gender: Female
Name: et-EE-KertNeural, Gender: MaleName: fa-IR-DilaraNeural, Gender: Female
Name: fa-IR-FaridNeural, Gender: MaleName: fi-FI-HarriNeural, Gender: Male
Name: fi-FI-NooraNeural, Gender: FemaleName: fil-PH-AngeloNeural, Gender: Male
Name: fil-PH-BlessicaNeural, Gender: FemaleName: fr-BE-CharlineNeural, Gender: Female
Name: fr-BE-GerardNeural, Gender: MaleName: fr-CA-AntoineNeural, Gender: Male
Name: fr-CA-JeanNeural, Gender: MaleName: fr-CA-SylvieNeural, Gender: Female
Name: fr-CH-ArianeNeural, Gender: FemaleName: fr-CH-FabriceNeural, Gender: Male
Name: fr-FR-DeniseNeural, Gender: FemaleName: fr-FR-EloiseNeural, Gender: Female
Name: fr-FR-HenriNeural, Gender: MaleName: ga-IE-ColmNeural, Gender: Male
Name: ga-IE-OrlaNeural, Gender: FemaleName: gl-ES-RoiNeural, Gender: Male
Name: gl-ES-SabelaNeural, Gender: FemaleName: gu-IN-DhwaniNeural, Gender: Female
Name: gu-IN-NiranjanNeural, Gender: MaleName: he-IL-AvriNeural, Gender: Male
Name: he-IL-HilaNeural, Gender: FemaleName: hi-IN-MadhurNeural, Gender: Male
Name: hi-IN-SwaraNeural, Gender: FemaleName: hr-HR-GabrijelaNeural, Gender: Female
Name: hr-HR-SreckoNeural, Gender: MaleName: hu-HU-NoemiNeural, Gender: Female
Name: hu-HU-TamasNeural, Gender: MaleName: id-ID-ArdiNeural, Gender: Male
Name: id-ID-GadisNeural, Gender: FemaleName: is-IS-GudrunNeural, Gender: Female
Name: is-IS-GunnarNeural, Gender: MaleName: it-IT-DiegoNeural, Gender: Male
Name: it-IT-ElsaNeural, Gender: FemaleName: it-IT-IsabellaNeural, Gender: Female
Name: ja-JP-KeitaNeural, Gender: MaleName: ja-JP-NanamiNeural, Gender: Female
Name: jv-ID-DimasNeural, Gender: MaleName: jv-ID-SitiNeural, Gender: Female
Name: ka-GE-EkaNeural, Gender: FemaleName: ka-GE-GiorgiNeural, Gender: Male
Name: kk-KZ-AigulNeural, Gender: FemaleName: kk-KZ-DauletNeural, Gender: Male
Name: km-KH-PisethNeural, Gender: MaleName: km-KH-SreymomNeural, Gender: Female
Name: kn-IN-GaganNeural, Gender: MaleName: kn-IN-SapnaNeural, Gender: Female
Name: ko-KR-InJoonNeural, Gender: MaleName: ko-KR-SunHiNeural, Gender: Female
Name: lo-LA-ChanthavongNeural, Gender: MaleName: lo-LA-KeomanyNeural, Gender: Female
Name: lt-LT-LeonasNeural, Gender: MaleName: lt-LT-OnaNeural, Gender: Female
Name: lv-LV-EveritaNeural, Gender: FemaleName: lv-LV-NilsNeural, Gender: Male
Name: mk-MK-AleksandarNeural, Gender: MaleName: mk-MK-MarijaNeural, Gender: Female
Name: ml-IN-MidhunNeural, Gender: MaleName: ml-IN-SobhanaNeural, Gender: Female
Name: mn-MN-BataaNeural, Gender: MaleName: mn-MN-YesuiNeural, Gender: Female
Name: mr-IN-AarohiNeural, Gender: FemaleName: mr-IN-ManoharNeural, Gender: Male
Name: ms-MY-OsmanNeural, Gender: MaleName: ms-MY-YasminNeural, Gender: Female
Name: mt-MT-GraceNeural, Gender: FemaleName: mt-MT-JosephNeural, Gender: Male
Name: my-MM-NilarNeural, Gender: FemaleName: my-MM-ThihaNeural, Gender: Male
Name: nb-NO-FinnNeural, Gender: MaleName: nb-NO-PernilleNeural, Gender: Female
Name: ne-NP-HemkalaNeural, Gender: FemaleName: ne-NP-SagarNeural, Gender: Male
Name: nl-BE-ArnaudNeural, Gender: MaleName: nl-BE-DenaNeural, Gender: Female
Name: nl-NL-ColetteNeural, Gender: FemaleName: nl-NL-FennaNeural, Gender: Female
Name: nl-NL-MaartenNeural, Gender: MaleName: pl-PL-MarekNeural, Gender: Male
Name: pl-PL-ZofiaNeural, Gender: FemaleName: ps-AF-GulNawazNeural, Gender: Male
Name: ps-AF-LatifaNeural, Gender: FemaleName: pt-BR-AntonioNeural, Gender: Male
Name: pt-BR-FranciscaNeural, Gender: FemaleName: pt-PT-DuarteNeural, Gender: Male
Name: pt-PT-RaquelNeural, Gender: FemaleName: ro-RO-AlinaNeural, Gender: Female
Name: ro-RO-EmilNeural, Gender: MaleName: ru-RU-DmitryNeural, Gender: Male
Name: ru-RU-SvetlanaNeural, Gender: FemaleName: si-LK-SameeraNeural, Gender: Male
Name: si-LK-ThiliniNeural, Gender: FemaleName: sk-SK-LukasNeural, Gender: Male
Name: sk-SK-ViktoriaNeural, Gender: FemaleName: sl-SI-PetraNeural, Gender: Female
Name: sl-SI-RokNeural, Gender: MaleName: so-SO-MuuseNeural, Gender: Male
Name: so-SO-UbaxNeural, Gender: FemaleName: sq-AL-AnilaNeural, Gender: Female
Name: sq-AL-IlirNeural, Gender: MaleName: sr-RS-NicholasNeural, Gender: Male
Name: sr-RS-SophieNeural, Gender: FemaleName: su-ID-JajangNeural, Gender: Male
Name: su-ID-TutiNeural, Gender: FemaleName: sv-SE-MattiasNeural, Gender: Male
Name: sv-SE-SofieNeural, Gender: FemaleName: sw-KE-RafikiNeural, Gender: Male
Name: sw-KE-ZuriNeural, Gender: FemaleName: sw-TZ-DaudiNeural, Gender: Male
Name: sw-TZ-RehemaNeural, Gender: FemaleName: ta-IN-PallaviNeural, Gender: Female
Name: ta-IN-ValluvarNeural, Gender: MaleName: ta-LK-KumarNeural, Gender: Male
Name: ta-LK-SaranyaNeural, Gender: FemaleName: ta-MY-KaniNeural, Gender: Female
Name: ta-MY-SuryaNeural, Gender: MaleName: ta-SG-AnbuNeural, Gender: Male
Name: ta-SG-VenbaNeural, Gender: FemaleName: te-IN-MohanNeural, Gender: Male
Name: te-IN-ShrutiNeural, Gender: FemaleName: th-TH-NiwatNeural, Gender: Male
Name: th-TH-PremwadeeNeural, Gender: FemaleName: tr-TR-AhmetNeural, Gender: Male
Name: tr-TR-EmelNeural, Gender: FemaleName: uk-UA-OstapNeural, Gender: Male
Name: uk-UA-PolinaNeural, Gender: FemaleName: ur-IN-GulNeural, Gender: Female
Name: ur-IN-SalmanNeural, Gender: MaleName: ur-PK-AsadNeural, Gender: Male
Name: ur-PK-UzmaNeural, Gender: FemaleName: uz-UZ-MadinaNeural, Gender: Female
Name: uz-UZ-SardorNeural, Gender: MaleName: vi-VN-HoaiMyNeural, Gender: Female
Name: vi-VN-NamMinhNeural, Gender: MaleName: zh-CN-XiaoxiaoNeural, Gender: Female
Name: zh-CN-XiaoyiNeural, Gender: FemaleName: zh-CN-YunjianNeural, Gender: Male
Name: zh-CN-YunxiNeural, Gender: MaleName: zh-CN-YunxiaNeural, Gender: Male
Name: zh-CN-YunyangNeural, Gender: MaleName: zh-CN-liaoning-XiaobeiNeural, Gender: Female
Name: zh-CN-shaanxi-XiaoniNeural, Gender: FemaleName: zh-HK-HiuGaaiNeural, Gender: Female
Name: zh-HK-HiuMaanNeural, Gender: FemaleName: zh-HK-WanLungNeural, Gender: Male
Name: zh-TW-HsiaoChenNeural, Gender: FemaleName: zh-TW-HsiaoYuNeural, Gender: Female
Name: zh-TW-YunJheNeural, Gender: MaleName: zu-ZA-ThandoNeural, Gender: Female
Name: zu-ZA-ThembaNeural, Gender: Male,
student, typing, keyboard

Advanced Text To Speech Converter

This program uses a single column .csv file to create .mp3 audio files, row by row.

Usage

This is a way of creating a library of audio files in bulk, from segments of text.

Prerequisites

You will need to install the “edge TTS” and “pydub” libraries.

pip install edge-tts
pip install pydub

How to use it

  1. Save the script below in the folder of your choice
  2. Rename the file you want to convert to audio as “input.csv” and save it in the same folder as the script. Each row will be converted to a separate audio file.
  3. Run the script
  4. The audio files are saved in the “output” folder
import asyncio
import edge_tts
import csv
import os

async def process_text(text, voice, output_filename):
    communicate = edge_tts.Communicate(text, voice)
    await communicate.save(output_filename)

async def main():
    # Read CSV
    with open('input.csv', 'r') as csv_file:
        csv_reader = csv.reader(csv_file)
        rows = list(csv_reader)

    voice = "en-GB-ThomasNeural"
    output_folder = "output"

    if not os.path.exists(output_folder):
        os.makedirs(output_folder)

    for i, row in enumerate(rows):
        concatenated_text = ' '.join(cell_text for cell_text in row if cell_text.strip())  # Concatenate occupied cell texts
        output_filename = os.path.join(output_folder, f"output_{i}.mp3")
        
        await process_text(concatenated_text, voice, output_filename)
        
        if i < len(rows) - 1:
            await asyncio.sleep(0.5)  # Half second gap between rows

    print("Finished")

loop = asyncio.new_event_loop()
loop.run_until_complete(main())
loop.close()

There are a few settings you can adjust:

1) The voice: this script uses “Libby”, a UK accented female voice. At the end of this post I provide the complete list of Edge TTS voices: just replace “en-GB-LibbyNeural” with your preferred voice
2) Reading speed: you can adjust this using the “rate=” line. In this case, the speed is 50% faster than nominal. Try different settings and see how the reading speed changes.

Edge TTS Voices

How to read the voice labels:
EXAMPLE: en-IN-NeerjaNeural, Gender: Female
en – means the voice speaks English
IN – means the accent is Indian

Name: af-ZA-AdriNeural, Gender: FemaleName: af-ZA-WillemNeural, Gender: Male
Name: am-ET-AmehaNeural, Gender: MaleName: am-ET-MekdesNeural, Gender: Female
Name: ar-AE-FatimaNeural, Gender: FemaleName: ar-AE-HamdanNeural, Gender: Male
Name: ar-BH-AliNeural, Gender: MaleName: ar-BH-LailaNeural, Gender: Female
Name: ar-DZ-AminaNeural, Gender: FemaleName: ar-DZ-IsmaelNeural, Gender: Male
Name: ar-EG-SalmaNeural, Gender: FemaleName: ar-EG-ShakirNeural, Gender: Male
Name: ar-IQ-BasselNeural, Gender: MaleName: ar-IQ-RanaNeural, Gender: Female
Name: ar-JO-SanaNeural, Gender: FemaleName: ar-JO-TaimNeural, Gender: Male
Name: ar-KW-FahedNeural, Gender: MaleName: ar-KW-NouraNeural, Gender: Female
Name: ar-LB-LaylaNeural, Gender: FemaleName: ar-LB-RamiNeural, Gender: Male
Name: ar-LY-ImanNeural, Gender: FemaleName: ar-LY-OmarNeural, Gender: Male
Name: ar-MA-JamalNeural, Gender: MaleName: ar-MA-MounaNeural, Gender: Female
Name: ar-OM-AbdullahNeural, Gender: MaleName: ar-OM-AyshaNeural, Gender: Female
Name: ar-QA-AmalNeural, Gender: FemaleName: ar-QA-MoazNeural, Gender: Male
Name: ar-SA-HamedNeural, Gender: MaleName: ar-SA-ZariyahNeural, Gender: Female
Name: ar-SY-AmanyNeural, Gender: FemaleName: ar-SY-LaithNeural, Gender: Male
Name: ar-TN-HediNeural, Gender: MaleName: ar-TN-ReemNeural, Gender: Female
Name: ar-YE-MaryamNeural, Gender: FemaleName: ar-YE-SalehNeural, Gender: Male
Name: az-AZ-BabekNeural, Gender: MaleName: az-AZ-BanuNeural, Gender: Female
Name: bg-BG-BorislavNeural, Gender: MaleName: bg-BG-KalinaNeural, Gender: Female
Name: bn-BD-NabanitaNeural, Gender: FemaleName: bn-BD-PradeepNeural, Gender: Male
Name: bn-IN-BashkarNeural, Gender: MaleName: bn-IN-TanishaaNeural, Gender: Female
Name: bs-BA-GoranNeural, Gender: MaleName: bs-BA-VesnaNeural, Gender: Female
Name: ca-ES-EnricNeural, Gender: MaleName: ca-ES-JoanaNeural, Gender: Female
Name: cs-CZ-AntoninNeural, Gender: MaleName: cs-CZ-VlastaNeural, Gender: Female
Name: cy-GB-AledNeural, Gender: MaleName: cy-GB-NiaNeural, Gender: Female
Name: da-DK-ChristelNeural, Gender: FemaleName: da-DK-JeppeNeural, Gender: Male
Name: de-AT-IngridNeural, Gender: FemaleName: de-AT-JonasNeural, Gender: Male
Name: de-CH-JanNeural, Gender: MaleName: de-CH-LeniNeural, Gender: Female
Name: de-DE-AmalaNeural, Gender: FemaleName: de-DE-ConradNeural, Gender: Male
Name: de-DE-KatjaNeural, Gender: FemaleName: de-DE-KillianNeural, Gender: Male
Name: el-GR-AthinaNeural, Gender: FemaleName: el-GR-NestorasNeural, Gender: Male
Name: en-AU-NatashaNeural, Gender: FemaleName: en-AU-WilliamNeural, Gender: Male
Name: en-CA-ClaraNeural, Gender: FemaleName: en-CA-LiamNeural, Gender: Male
Name: en-GB-LibbyNeural, Gender: FemaleName: en-GB-MaisieNeural, Gender: Female
Name: en-GB-RyanNeural, Gender: MaleName: en-GB-SoniaNeural, Gender: Female
Name: en-GB-ThomasNeural, Gender: MaleName: en-HK-SamNeural, Gender: Male
Name: en-HK-YanNeural, Gender: FemaleName: en-IE-ConnorNeural, Gender: Male
Name: en-IE-EmilyNeural, Gender: FemaleName: en-IN-NeerjaExpressiveNeural, Gender: Female
Name: en-IN-NeerjaNeural, Gender: FemaleName: en-IN-PrabhatNeural, Gender: Male
Name: en-KE-AsiliaNeural, Gender: FemaleName: en-KE-ChilembaNeural, Gender: Male
Name: en-NG-AbeoNeural, Gender: MaleName: en-NG-EzinneNeural, Gender: Female
Name: en-NZ-MitchellNeural, Gender: MaleName: en-NZ-MollyNeural, Gender: Female
Name: en-PH-JamesNeural, Gender: MaleName: en-PH-RosaNeural, Gender: Female
Name: en-SG-LunaNeural, Gender: FemaleName: en-SG-WayneNeural, Gender: Male
Name: en-TZ-ElimuNeural, Gender: MaleName: en-TZ-ImaniNeural, Gender: Female
Name: en-US-AnaNeural, Gender: FemaleName: en-US-AriaNeural, Gender: Female
Name: en-US-ChristopherNeural, Gender: MaleName: en-US-EricNeural, Gender: Male
Name: en-US-GuyNeural, Gender: MaleName: en-US-JennyNeural, Gender: Female
Name: en-US-MichelleNeural, Gender: FemaleName: en-US-RogerNeural, Gender: Male
Name: en-US-SteffanNeural, Gender: MaleName: en-ZA-LeahNeural, Gender: Female
Name: en-ZA-LukeNeural, Gender: MaleName: es-AR-ElenaNeural, Gender: Female
Name: es-AR-TomasNeural, Gender: MaleName: es-BO-MarceloNeural, Gender: Male
Name: es-BO-SofiaNeural, Gender: FemaleName: es-CL-CatalinaNeural, Gender: Female
Name: es-CL-LorenzoNeural, Gender: MaleName: es-CO-GonzaloNeural, Gender: Male
Name: es-CO-SalomeNeural, Gender: FemaleName: es-CR-JuanNeural, Gender: Male
Name: es-CR-MariaNeural, Gender: FemaleName: es-CU-BelkysNeural, Gender: Female
Name: es-CU-ManuelNeural, Gender: MaleName: es-DO-EmilioNeural, Gender: Male
Name: es-DO-RamonaNeural, Gender: FemaleName: es-EC-AndreaNeural, Gender: Female
Name: es-EC-LuisNeural, Gender: MaleName: es-ES-AlvaroNeural, Gender: Male
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ai-generated, robot, future

Simple Text To Speech Converter

This is a really simple but effective way to convert text files to mp3 audio files.

Usage

You can use a script like this to convert a text document – like a book – into a spoken audio file. The intonation isn’t quite like a real human, but even so, it’s pretty good and it costs nothing and takes moments to do!

Prerequisites

You will need to install the “edge TTS” and “pydub” libraries.

pip install edge-tts

pip install pydub

How to use it

  1. Save the script below in the folder of your choice
  2. Rename the file you want to convert to audio as “test.txt” and save it in the same folder as the script
  3. Run the script
  4. The audio file is saved as “output.mp3”
# Install  using "pip install edge-tts" and "pip install pydub"


import asyncio
import edge_tts

async def main():
    # Read text
    with open('test.txt', 'rb') as f:
        data = f.read()

    text = data.decode('latin-1')

    voice = "en-GB-LibbyNeural"
    
    rate = +50
    outputFile = "output.mp3"

    communicate = edge_tts.Communicate(text, voice,)
    await communicate.save(outputFile)

loop = asyncio.new_event_loop()
loop.run_until_complete(main())
loop.close()

print("Text saved to audio file")

There are a few settings you can adjust:

1) The voice: this script uses “Libby”, a UK accented female voice. At the end of this post I provide the complete list of Edge TTS voices: just replace “en-GB-LibbyNeural” with your preferred voice
2) Reading speed: you can adjust this using the “rate=” line. In this case, the speed is 50% faster than nominal. Try different settings and see how the reading speed changes.

Edge TTS Voices

How to read the voice labels:
EXAMPLE: en-IN-NeerjaNeural, Gender: Female
en – means the voice speaks English
IN – means the accent is Indian

Name: af-ZA-AdriNeural, Gender: FemaleName: af-ZA-WillemNeural, Gender: Male
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Name: nl-NL-ColetteNeural, Gender: FemaleName: nl-NL-FennaNeural, Gender: Female
Name: nl-NL-MaartenNeural, Gender: MaleName: pl-PL-MarekNeural, Gender: Male
Name: pl-PL-ZofiaNeural, Gender: FemaleName: ps-AF-GulNawazNeural, Gender: Male
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Name: ta-IN-ValluvarNeural, Gender: MaleName: ta-LK-KumarNeural, Gender: Male
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Name: ta-MY-SuryaNeural, Gender: MaleName: ta-SG-AnbuNeural, Gender: Male
Name: ta-SG-VenbaNeural, Gender: FemaleName: te-IN-MohanNeural, Gender: Male
Name: te-IN-ShrutiNeural, Gender: FemaleName: th-TH-NiwatNeural, Gender: Male
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Name: uk-UA-PolinaNeural, Gender: FemaleName: ur-IN-GulNeural, Gender: Female
Name: ur-IN-SalmanNeural, Gender: MaleName: ur-PK-AsadNeural, Gender: Male
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Name: zh-HK-HiuMaanNeural, Gender: FemaleName: zh-HK-WanLungNeural, Gender: Male
Name: zh-TW-HsiaoChenNeural, Gender: FemaleName: zh-TW-HsiaoYuNeural, Gender: Female
Name: zh-TW-YunJheNeural, Gender: MaleName: zu-ZA-ThandoNeural, Gender: Female
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