AI voice generator and voice agents platform for lifelike speech, cloning, and conversational agents.
AudioAgents
AI voice generator and voice agents platform for lifelike speech, cloning, and conversational agents. Pick or create a voice, paste your script, and generate audio. Models read emotional cues from the text itself; Stability and Similarity settings control consistency. Instant cloning works from short samples; Professional Voice Cloning needs extended training audio on a Creator plan or above.
Paste the final script, choose a model (Flash v2.5 for low latency, Multilingual v2 for long-form quality, Eleven v3 for expressive delivery), then generate.
What to provide
Details that improve the result
Example prompt
Voice: calm female narrator, neutral American accent. Script: Welcome back. Today we walk through the setup in three steps—nothing fancy, just what you need to ship. Model: Multilingual v2 for a polished explainer. Keep pacing measured.
If the first output is not good
Common mistakes
Go to Voices → add a new voice → Instant Voice Cloning, upload samples, then test with a short TTS generation.
What to provide
Details that improve the result
Example prompt
Upload two minutes of dry studio narration. Test line: “This is a quick sample to check clarity and pacing before we record the full module.” Compare against the source for accent drift.
If the first output is not good
Common mistakes
Create a Professional Voice Clone, upload or record extended training audio, wait for fine-tuning (often 3–6 hours), then validate across several test scripts.
What to provide
Details that improve the result
Example prompt
Upload 45 minutes of podcast narration recorded in the same room. After training completes, test: (1) a calm explainer, (2) an upbeat promo, (3) a sentence with numbers and product names.
If the first output is not good
Common mistakes
Use Voices → My Voices → Add a new voice → Voice Design. Describe the voice, generate three previews, save the best match.
What to provide
Details that improve the result
Example prompt
Native English, neutral American accent. Female, 35–40. Studio quality. Persona: trusted product narrator. Emotion: calm, confident, warm. Smooth timbre, relaxed pacing, clear emphasis on key terms.
If the first output is not good
Common mistakes
Open a voice you own, use Voice Remixing, describe the transformation in natural language, and compare against the original.
What to provide
Details that improve the result
Example prompt
Remix my existing clone to sound slightly older, slower pacing, and warmer tone for a bedtime story app. Keep the same core identity.
If the first output is not good
Common mistakes
Mark pronunciation inline, then generate. For v3 use /IPA/ transcriptions; for v2 use CMU Arpabet phoneme tags or alias dictionaries.
What to provide
Details that improve the result
Example prompt
The patient takes "/ɡluːˈkoʊs/" daily. <break time="1.0s" /> Next, review the "/ˌdaɪəˈbiːtiːz/" care checklist.
If the first output is not good
Common mistakes
Choose Flash v2.5 for low-latency use cases, keep lines short, and use streaming endpoints for interactive playback.
What to provide
Details that improve the result
Example prompt
Model: Flash v2.5. Line: “Got it—checking your order now.” Generate three variants with different seeds and pick the most natural.
If the first output is not good
Common mistakes
POST to /v1/text-to-speech/{voice_id} with text and model_id; stream when you need partial playback.
What to provide
Details that improve the result
Example prompt
Convert: “Your table is ready.” voice_id=[narrator], model_id=eleven_flash_v2_5, voice_settings.stability=0.45, similarity_boost=0.75, output_format=mp3_44100_128.
If the first output is not good
Common mistakes
ElevenLabs speech follows your script and voice choice. Write the line the way it should sound, put emotion in the words (not only in settings), and pick the model for the job—Flash for speed, Multilingual v2 for stable long-form, v3 for expressive performance. For Voice Design, use the structured Native language → gender/age → quality → persona → delivery format from ElevenLabs docs.
Native English, neutral American. Male, 40s. Studio quality. Persona: SaaS onboarding narrator. Emotion: friendly, confident. Script: “You are two clicks away from your first export. Let’s walk through it together.”
Models read emotional context from the text. Descriptive cues and punctuation shape delivery more reliably than vague settings alone.
Example
“That’s incredible!” she said, laughing. / “Wait—are you sure about that?” he asked quietly.
ElevenLabs recommends: Native [Language]. [Gender], [Age]. [Quality]. Persona + Emotion + one or two sentences on timbre and pacing.
Example
Native French, français standard. Female, late 20s. Excellent quality. Persona: airline agent. Emotion: reassuring, precise. Clear articulation, moderate pace, slight smile in tone.
Stability trades emotional range for steadiness; Similarity boost keeps output closer to the source voice. Adjust one at a time.
Example
Narration: stability 0.65, similarity_boost 0.80. Character dialogue: stability 0.35 for wider expression.
Use IPA slashes on v3, phoneme tags on Flash v2, or alias entries in pronunciation dictionaries for recurring terms.
Example
Our SDK ships with "/kəˈmænd laɪn/" tools and an alias UN → United Nations.
Split long text into segments for natural prosody. On the API, chain chunks with previous_text and next_text.
Example
Chunk 1 ending: “…and that covers step one.” Chunk 2 starting: “Next, open the dashboard…”
Choose the right model
Flash v2.5 targets ~75ms ultra-low latency excluding application and network latency. Multilingual v2 is the most stable for long-form content. Eleven v3 adds expressive, multi-speaker dialogue with audio tags. Match model to latency, language, and performance needs.
Stage directions get spoken
Text like “she said excitedly” influences delivery but is also spoken aloud. Trim those words in post if you only wanted the emotion, not the narration of it.
Instant vs Professional cloning
Instant Voice Cloning needs roughly 1–3 minutes of audio and returns in seconds. Professional Voice Cloning needs 30–180 minutes, a Creator plan or above, and hours of training—but yields the highest fidelity.
Voice Design when the library misses
Voice Design generates three previews from a 20–1000 character description plus optional preview text. Use it to explore voices; prefer an existing PVC in the library when one already fits.
Explicit language and dialect
Start Voice Design prompts with native language and regional variant. Being explicit reduces accent drift, especially for multilingual projects.
Avoid FX words in Voice Design
Terms like reverb, echo, phone, or tape can degrade quality unless you intentionally want degraded audio. Describe timbre and pacing instead.
Pauses and breaks
Use <break time="x.xs" /> up to 3 seconds on supported models. Eleven v3 does not support SSML break tags—use v3 prompting techniques instead. Too many breaks can destabilize output.
Pronunciation tooling
Eleven v3 accepts IPA wrapped in forward slashes. v2 Flash supports SSML phoneme tags. Studio and Dubbing accept pronunciation dictionaries (TXT or PLS) with alias or phoneme entries.
Long-form prosody
Split very long text and, on the API, pass previous_text and next_text so phrasing flows across chunks instead of resetting every segment.
Consistency and seeds
Outputs are nondeterministic. Use the seed parameter when you need repeatable takes, knowing minor variation may remain.
Free regenerations
You can regenerate the same text with identical voice settings up to two times at no extra cost—useful for occasional glitches, not for script changes.
Commercial rights
You own generated audio, but commercial usage requires a paid subscription. Verify your plan before monetizing outputs.
Voice Library on API
Community Voice Library voices are not available via API to free-tier users. Use voices in My Voices or upgrade accordingly.
Default voice sunset
Save production voice_id values you control (clones, designed voices, or library voices you added). Check ElevenLabs docs for voice availability on your plan.
Pricing, features, limits and latest updates
AI voice generator and voice agents platform for lifelike speech, cloning, and conversational agents.
Free / Paid · Free
Free
Free
Starter
$6/ Monthly
Starter
$60/ Yearly
Creator
$22/ Monthly
Creator
$220/ Yearly
Pro
$99/ Monthly
Pro
$990/ Yearly
Scale
$299/ Monthly
Scale
$2,990/ Yearly
Business
$990/ Monthly
Business
$9,900/ Yearly
Enterprise
Custom
Shared monthly credits cover text to speech, dubbing, speech to text, and sound effects.
API usage is billed in US dollars per model, not from Creative plan credits.
ElevenAgents is a separate conversational-agent product with its own pricing surface.
Eleven Music draws from the same shared monthly credit pool as speech products.
Instant and professional voice cloning are plan-gated features on the Creative subscriptions.
Share a prompt that worked for you. Username and email are shown with your submission. External links are not allowed.
Example prompt
Prompt
[calm] Welcome back. In this lesson, we'll configure webhooks so your app receives events in near real time. [pause] Let's start with the payload shape.
Short explanation
Eleven v3 supports audio tags such as [calm] and [pause]; SSML break tags are not supported on v3 per official docs.
Example prompt
Prompt
Voice: clear female narrator, mid-30s, neutral accent. Pace: measured. Length: ~30 seconds. Script: Explain why async jobs beat synchronous requests for file processing.
Variation
Generate three variants with different seeds and pick the most natural take.
Short explanation
Specify voice, pace, and length before the script; TTS consumes credits per character on paid plans.
Required fields are marked. Variation, result, and explanation are optional.
AI music studio for singing vocals, instruments, voice cloning, and stem splitting.
AudioPaid
Turns a text prompt or lyrics into an original song, with optional vocals and a music video.
AudioFree / Paid
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