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Murf AI vs VoiceStudio

Both stand on text-to-speech tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Murf AI

Free plan APIWebWindows

Choose Murf AI if you need voice generation with cloning, commercial use, and audio export options. The Free plan is limited to 10 projects and 10 minutes, with no downloads; users needing more generation or custom projects can consider the higher plans.

Visit Murf AI

VoiceStudio

Free plan APILinuxMac+3

VoiceStudio covers voice work from cloning and dubbing to transcription and audiobooks, with local storage and API options. Its public build is not the hosted cloud service, and model licensing and hardware needs merit attention.

Visit VoiceStudio

The facts

Murf AIVoiceStudio
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Web, WindowsAPI, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planFree or on requestPro: $99 per user a year
Plans published44
MakerMurf AINot published
Websitemurf.aivoicestudio.sh
On text-to-speech tools#21 of 232#25 of 232

Murf AI: what it does well

  • Supports voice cloning and commercial use.
  • Available on web, Windows, and through an API.
  • Audio exports include MP3, WAV, FLAC, ALAW, and ULAW.
  • Creator and Business include unlimited downloads.
  • Enterprise includes unlimited voice generation and custom editors.

What to know first

  • Free includes no downloads.
  • Free is limited to 10 projects and 10 minutes of generation.
  • Free, Creator, and Business each allow one editor.
  • Creator and Business have yearly generation allowances.

VoiceStudio: what it does well

  • Voice design does not require reference audio.
  • Dubbing keeps speakers separate and aligns timing.
  • Creates audiobooks from long text or EPUB files.
  • Local API covers speech, voices, transcription, and dubbing.
  • Free open-source plan under AGPL-3.0.

What to know first

  • Public build has no hosted dashboard or Cloud API.
  • Speech models have separate licences.
  • Some speech models may be research-only.
  • CPU use is slower; 16 GB or more RAM is recommended.

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