
Visual guide
A step-by-step visual guide for text to speech for podcasters.
Text to Speech for Podcasters. Assign voices to hosts and guests, render every turn in order, and export a joined MP3 or WAV plus separate stems.
Solo podcasters spend hours re-recording intros, ad reads, and chapter transitions. FreeTextoSpeech generates clean, consistent AI voiceovers in the same voice every time, so your show sounds polished without another booking at the local voice studio.
Related use cases
Tag each turn with HOST:, GUEST:, or another name, assign a voice and speed to every speaker, and generate the episode queue. Download the joined MP3 for publishing or the WAV/stem bundle for final music and loudness mastering.
Write HOST:, GUEST:, or any speaker name before a turn. The studio detects every person automatically.
Assign a different voice and speed to each host or guest, then set the gap between turns.
Render the episode queue as a normalized joined MP3 or WAV while keeping every turn available as a stem.
Target -16 LUFS (Spotify / Apple Podcasts standard). Export 128 kbps MP3 for most podcast hosts.

Visual guide
A step-by-step visual guide for text to speech for podcasters.
A consistent AI-narrated intro/outro voice across every episode, no studio booking required.
A second voice for ad reads that does not fight with the host’s cadence, keeps sponsorships clearly delineated.
Turn each post into a narrated audio version and publish to a dedicated podcast feed.
Carry long-form storytelling episodes with one consistent narrator, perfect for solo show formats.
Long-form is unforgiving, listeners spend 20+ minutes with one voice. These six narrate cleanly across documentary, interview, and intimate-format shows without listener fatigue.
Smooth documentary
Best for
Long-form narrative shows, true-crime intros, history podcasts.
Warm narrator
Best for
Personal essays, memoir-style segments, audio editions of blog posts.
Authoritative, measured
Best for
Business and policy podcasts, BBC-style explainers, audio briefings.
Friendly, conversational
Best for
Interview-style shows, lifestyle podcasts, casual co-host energy.
Authoritative US
Best for
News briefings, finance podcasts, sponsorship reads with weight.
Soft, intimate
Best for
Sleep, meditation, ASMR-adjacent narration, bedtime story shows.
Want to hear them? Browse all 54 voices →
The technical work that separates a hobby podcast from one that sounds professional sits in scripting, splicing, and mastering. These six rules cover the full pipeline.
Long subordinate clauses kill listener comprehension. Use contractions ("it's" not "it is"), keep sentences under 18 words, and read your draft aloud before generating. If you stumble on a phrase reading it, the model will too.
There is no SSML input, but you can steer pronunciation with creative spelling, write "ny-OO-trient" instead of "nutrient" if it lands wrong, and the engine will follow. Commas insert micro-pauses, em dashes insert longer ones, and ellipses produce a clear beat. Test the chunk, fix the spelling, regenerate.
Use speaker tags and blank-line segment breaks. The episode builder creates safe sections automatically, joins them with consistent gaps, and still gives you every stem for detailed DAW work.
-16 LUFS integrated for mono is the Spotify and Apple Podcasts target. Stereo runs -19 LUFS by convention. Use a loudness meter (Youlean, free) on the master bus, push true-peak ceiling to -1.0 dBTP. Voice-only podcasts almost always end up mono, flatten the export and shave file size.
The Kokoro model is deterministic for a given voice and text. As long as you keep the voice name (e.g. River), the speed slider, and your script-formatting conventions identical, the narrator sounds the same six months from now. Save those three settings in a session-level note.
Listeners zone out when sponsorship copy sounds like the host. Run the host narration as Adam or River, switch to Bella or Daniel for the ad, and add a 200 ms music sting on the transition. The voice change is the cue that says "this is a sponsor", IAB recommends explicit audio differentiation for ad clarity.
ElevenLabs is the most common alternative for podcast work. Here is an honest read on where each tool fits, voice cloning is one place ElevenLabs genuinely wins.
Usage visibility
FreeTextoSpeech
Selected characters and current cloud allowance are shown before generation
ElevenLabs free tier
Some free tiers reveal limits only at export
Voice variety
FreeTextoSpeech
54 voices across 9 languages
ElevenLabs free tier
Smaller free-tier voice roster, premium voices gated
Watermark / attribution
FreeTextoSpeech
No watermark, no attribution required
ElevenLabs free tier
Free-tier outputs commonly require attribution
Commercial use on free tier
FreeTextoSpeech
Full commercial license included
ElevenLabs free tier
Commercial use restricted on free tier, paid plan required
Output format
FreeTextoSpeech
24 kHz WAV, lossless, DAW-ready
ElevenLabs free tier
Compressed MP3 on free tier in many cases
Signup friction
FreeTextoSpeech
No signup, no email, browser only
ElevenLabs free tier
Email signup, credit card on file for paid features
Voice cloning
FreeTextoSpeech
Not offered, preset voices only
ElevenLabs free tier
Custom voice cloning on paid tiers
If you need a cloned voice that sounds like you specifically, ElevenLabs is the right tool. If you need consistent narration from a roster of preset voices with no character cap pressure, the math here is straightforward.

In context
How creators turn a script into publishable audio for text to speech for podcasters.
Still wondering? Get in touch →
Indie audiobook narration with full commercial rights.
Studio-quality reads for full YouTube videos.
Convert text into a downloadable MP3 file directly.
Lossless 24 kHz WAV, the master format for DAW work.
Generate one free, right now.
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