How Much Does AI Text-to-Speech Cost

How Credit-Based Pricing Works

Instead of paying per-character rates directly to each voice provider, the platform charges credits per request. The credit cost per request depends on two factors: which voice provider you use and how much text you send. Shorter text costs fewer credits, longer text costs more. There are no monthly fees, no minimum commitments, and no contracts. You load credits into your account and use them as needed.

This is simpler than managing separate accounts with AWS, ElevenLabs, and Google, each with their own billing, rate limits, and pricing models. One account, one credit balance, access to all providers.

Cost by Provider

AWS Polly Neural Voices

The most cost-effective option for most use cases. Polly neural voices deliver good quality at the lowest credit cost per character. Suitable for chatbot responses, phone systems, kiosk greetings, and any application where solid quality at high volume matters more than the absolute best voice naturalness. A typical chatbot response (2-3 sentences, roughly 200 characters) costs just a few credits.

ElevenLabs Voices

Premium pricing for premium quality. ElevenLabs voices are the most natural sounding, making them ideal for audiobook narration, marketing videos, and any content where the voice needs to be indistinguishable from a real person. The credit cost per character is higher than Polly, but for content that gets heard many times (published audiobooks, marketing videos), the quality justifies the cost.

Google Cloud WaveNet

Mid-range pricing with strong multilingual support. Google WaveNet voices cost more than Polly but less than ElevenLabs, offering a middle ground of quality and affordability. A good choice when you need many languages with consistent quality.

Speech-to-Text Pricing

Transcription with Whisper is billed based on the duration of the audio being transcribed. Short chatbot voice messages (a few seconds each) cost very little per transcription. Longer recordings like meeting transcriptions or call recordings cost proportionally more. The per-minute rate is competitive with running Whisper through other platforms.

Cost Examples by Use Case

Voice Chatbot

A typical voice chatbot exchange involves one speech-to-text call (user's question, ~5 seconds of audio) and one text-to-speech call (chatbot response, ~200 characters). Using AWS Polly, each exchange costs roughly 5-15 credits total including the AI chatbot processing. With 100 voice conversations per day, that is approximately 500-1500 credits daily, or under $2 per day.

E-Learning Course Narration

A 50-lesson course with 1,000 words per lesson (50,000 words total, roughly 300,000 characters). Using AWS Polly neural voices, narrating the entire course costs a few hundred credits. Using ElevenLabs for higher quality costs more but is still a fraction of hiring a voice actor. The narration is generated once and cached, so there are no ongoing costs unless you update the content.

Audiobook Production

A 70,000-word book (approximately 400,000 characters). At ElevenLabs pricing, the total credit cost is still well under the cost of a single professional voice recording session. And unlike a recording session, you can regenerate individual sections for free if you find issues or update content.

Kiosk or Phone System

Kiosks and phone systems often repeat the same responses. Generate and cache the most common responses once, and only generate new audio for unique questions. With caching, the daily credit cost for a kiosk handling 200 interactions might be just 50-100 credits for the unique responses, since cached responses cost nothing to replay.

Reducing Costs

• Cache aggressively: Any response that gets repeated should be generated once and served from cache. Greetings, menu options, and FAQ answers are all cache candidates.
• Use Polly for high volume: Reserve expensive ElevenLabs voices for customer-facing content where quality matters most. Use Polly for internal tools, testing, and high-volume applications.
• Keep responses concise: Shorter text generates faster and costs less. Chatbot system prompts that encourage brief responses save credits on every interaction.
• Use your own API keys: If you have accounts directly with AWS, ElevenLabs, or Google, you can use your own API keys through the platform for reduced credit costs.

Comparison to Alternatives

Running your own TTS infrastructure requires managing API accounts with each provider, handling rate limits and quotas, building failover logic, and paying each provider's minimum fees. The platform bundles all of this into simple credit pricing. For most businesses, the convenience of one account with access to multiple providers at competitive rates saves both money and engineering time compared to building the integration yourself.