Text-to-Speech for Podcasts

Podcast creators use text-to-speech for many applications, including narrative storytelling, automated news updates, show introductions, and creating audio versions of written articles.

Generating voiceovers from text is useful when you do not have access to a quiet recording environment, lack a high-quality microphone, or prefer to write your episodes rather than speak them.

Conversely, if you already have recorded audio and need to convert it into a written format, see our podcast transcription guide.

Konthora provides 10 distinct English voices. Selecting a voice that matches the tone of your podcast is important for the listener experience.

If your podcast is aimed at an audience in the United States, you might prefer the American English voices. For content geared toward a UK audience, the British English voices can provide a different cadence and presentation style.

The way you format your text impacts how text-to-speech works. Automatic narration relies entirely on punctuation to determine pauses and pacing.

To get the best result for a podcast episode, use proper periods and commas to create natural breathing pauses. Since the tool has a 2,000-character limit per generation, you may need to divide longer podcast scripts into separate paragraphs and generate the audio in sections.

When you export your generated voiceover, you can select from two audio formats.

For podcast editing, MP3 vs WAV is a common consideration. WAV is an uncompressed format, meaning it preserves the highest audio quality, which is ideal if you plan to edit the audio further in your podcast software. MP3 is a compressed format that uses less file space and is often used for final podcast distribution.