Podcastify
Podcast Voice Cloning — AI-Powered

Clone your voice.Host your own AI podcast.

Record a 10–90 second sample and Podcastify turns it into a custom voice you can use as Host or Guest in any episode — or mix it with the premium voice library. No studio, no re-recording, no editing.

Clone your voice

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Podcastify founder interview

AI Generated Sample • 1:03

How Podcast Voice Cloning Works

From a short sample to a full episode in your own voice — four steps, under two minutes.

1

Record a Short Sample

Read a short teleprompter script in your browser, or upload an existing recording. 10–90 seconds is all the AI needs — 30 to 60 seconds gives the best results.

2

AI Clones Your Voice

Podcastify processes the sample, stores it on your account, and generates a free test clip from a phrase you never read — so you can hear the clone handle new text before using it.

3

Pick Host or Guest

Use your cloned voice as Host or Guest, or pair it with one of the 20+ premium voices. Each turn of dialogue is rendered by the best provider for that voice.

4

Generate and Publish

Turn any URL, PDF, notes, or YouTube video into a two-host episode in your voice. Edit the transcript, render the audio, and download the MP3.

AI-Powered

Try it now

Paste a link, text, or upload a file. Get a podcast in seconds.

More ways to build your podcast

Voice cloning handles the voice. Pick the landing page that matches your source format to handle the content — or browse the full library before choosing a cloned voice.

Text to Podcast

Best when you already have notes, drafts, transcripts, or a finished script.

PDF to Podcast

Best for reports, research papers, whitepapers, and internal documents.

Article to Podcast

Best for published URLs, essays, newsletters, and long-form articles.

Notes to Podcast

Best for revision notes, class summaries, and active recall study material.

Research Paper to Podcast

Best for academic papers that need a clearer plain-language walkthrough.

Lecture to Podcast

Best for lecture notes, slide decks, and revision audio recaps.

YouTube to Podcast

Best for talks, lectures, interviews, and YouTube Shorts you would rather listen to.

Loved by Creators

See what our community has to say

“I went from idea to a publishable draft in under 5 minutes. This removed hours from my weekly content workflow.”
Ioana Sacquepee

Ioana Sacquepee

Product Manager

“We now repurpose campaign briefs into podcast episodes the same day. It became our fastest content format.”
Mathieu Halliez

Mathieu Halliez

Content creator

“I use it to turn study notes into short audio explainers. Retention is better and I review content on the way to school.”
Jules Barbe

Jules Barbe

Student

Why Podcastify?

See how Podcastify stacks up against the competition.

FeaturePodcastifyNotebookLM
Custom voices
All premium voices + clone your own (2)
2 fixed hosts
Transcript editing
Full control
Not available
Conversation styles
9+ styles
Fixed format
Input types
Text, PDF, URL, Image
PDF & Google Drive only
Brand voice / tone
Fully customizable
Not available
Duration control
Up to 25 min
Auto-generated
Embed on your site
One-line iframe
Not available
Add intro & outro music
1-click mixing
Not available
Clone your own voice
From a 10–90s sample
Not available

Podcast Voice Cloning — FAQ

Common questions about cloning your voice and using it in AI podcast episodes.

What is podcast voice cloning?

Podcast voice cloning turns a short recording of your voice into a reusable synthetic voice that can narrate AI-generated podcast episodes. You record a 10–90 second sample once, and Podcastify scripts and voices two-host episodes in your voice — no microphone in front of you for every episode, no re-recording when a line changes, no studio.

How does Podcastify clone your voice?

The dashboard walks you through a teleprompter script, records or uploads your sample, and stores it privately on your account after a consent confirmation. When you generate an episode, the sample and its exact transcript are sent to the voice-cloning model, which synthesizes each line in your voice. A free test clip on text you never read lets you verify the clone before committing to a full episode, and every cloned turn is billed in audio characters like any other voice.

Who is podcast voice cloning for?

  • Creators and founders who want their own voice on every episode without booking recording sessions.
  • Teams and educators producing internal updates, training audio, or course material in a recognizable host voice.
  • Anyone who dislikes recording but still wants the personality of a real voice instead of a stock AI narrator.

Weighing cloned voices against the premium library? See our ranked guide to the best AI voices for podcasts, or read what the copyright and consent rules say before you clone a voice that is not yours. You can also browse the full voice library first.

2 custom voicesFree test clip included

Put your own voice behind the mic.

Podcast voice cloning is included in the Hobby plan — $9.95/month, or from $7.92/month annually. Record a short sample once and host your next episode in your own voice.

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Podcast voice cloning: the basics

Short reads on cloning your voice for AI podcasts — how it works, what it costs, and the rules to respect.

How podcast voice cloning works (and what it cannot do)

Podcast voice cloning builds a synthetic voice from a short sample, then reuses it every time the AI needs that host to speak. It is stateless: no permanent model is trained, the sample is sent with each generation, and the output is a normal audio file you can edit, embed, or publish. What it cannot do matters just as much. A clone will not invent a performance style you never demonstrated, it will not fix a noisy sample, and it will not let you impersonate someone who has not given consent. Within those limits, a 30-second recording is enough to carry a full two-host episode, which is why voice cloning is the fastest way to keep a personal voice on a show you no longer have time to record.

Cloning your voice vs. recording every episode

Recording every episode gives you full control over delivery — and it costs an hour of studio time, a good microphone, and a re-record whenever the script changes. Cloning your voice moves that cost to the front: one short sample, then unlimited episodes generated from text. The trade-off is nuance. A recording captures a real performance in the moment; a clone reproduces the voice but follows the script and emotion cues you give the AI. For weekly shows, teaching material, and content repurposing, the clone wins on consistency and turnaround. For interviews and highly emotional narratives, recording still wins. Many creators do both: clone the voice for routine episodes, record the ones where performance matters.

Voice cloning rights: consent rules every podcaster should know

The legal question is not whether cloning is allowed, but whose voice you are cloning. Your own voice is yours to clone for your own episodes. Anyone else's voice requires explicit permission, and public figures are effectively off limits: platform rules from Spotify and YouTube prohibit voice impersonation, and every major voice-cloning provider enforces the same standard. Consent should be written, and it should cover the specific use — a co-host agreeing to a clone for your show is not agreeing to a clone for an ad read. Keep the sample and the permission on file. If a voice sounds like a real person, label the episode as AI-produced where platforms ask for it.

From a 30-second sample to a full episode

The pipeline behind a cloned-voice episode has four moving parts: extraction, scripting, synthesis, and mixing. Podcastify extracts your source — a URL, PDF, notes, or a YouTube caption track — and an LLM writes a two-host conversation from it. The transcript is editable, which matters because you should approve the words before they are spoken in your voice. Each turn is then synthesized by the provider that fits the voice: the cloned turns go to the cloning model, the premium turns to Gemini, OpenAI, ElevenLabs, or Edge. Finally the segments are merged into one MP3 with consistent loudness. Total time, from sample to publishable episode, is usually under two minutes.