Benchmarks, pricing and build guides for text to speech, every number dated and every post narrated by Harper.
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Since 9 October 2026, SpeechifyAI takes an LLM's reply over a WebSocket as it is written. From Google Cloud us-east4 that day, the first word was audible 449 ms after the first token, against 468 ms with one HTTP request per sentence and 2,525 ms for the whole reply at once.
Read story9 min read, 7 min listenSource: Our measurement, Oct 9, 2026
449 msfrom first LLM token to first sound
Quality, price and speed, with dated numbers.
Benchmarks & pricingUpdated Oct 5, 2026
1,237Elo on Artificial Analysis
Benchmarks & pricingUpdated Oct 5, 2026
Benchmarks & pricingUpdated Sep 28, 2026
$91a month for 10M characters
Benchmarks & pricingUpdated Sep 28, 2026
Benchmarks & pricingUpdated Oct 9, 2026
123 msto first audio on Voice Arena
Benchmarks & pricingUpdated Oct 9, 2026
Benchmarks & pricingUpdated Oct 8, 2026
15concurrent requests on the Starter plan
Benchmarks & pricingUpdated Oct 8, 2026
Build guidesSep 28, 2026
One line in your AgentSession.
Build guidesSep 28, 2026
Benchmarks & pricingSep 24, 2026
379 ms106 msto first audio on Coval
Benchmarks & pricingSep 24, 2026
Product updatesSep 11, 2026
The API, from your terminal.
Product updatesSep 11, 2026
Build guidesUpdated Sep 10, 2026
Every word, with its timing.
Build guidesUpdated Sep 10, 2026
Build guidesUpdated Oct 9, 2026
Read-aloud for any docs site.
Build guidesUpdated Oct 9, 2026
Build guides
What streaming text-to-speech makes possible: read-aloud, voice agents, call narration, live captions, and read-along highlighting, all built on the Speechify streaming endpoints.
2 min read, 3 min listen
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Turn an RSS feed into a daily audio digest with the Speechify API. Fetch items, join the text, generate one audio file, and deliver it.
1 min read, 2 min listen
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Build a Slack bot that reads channel messages aloud with the Speechify API. Wire events, synthesize audio, and post the clip back to the channel.
2 min read, 2 min listen
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Give the Speechify text-to-speech API a URL and the page comes back as narrated audio. Fetch, extract the article text, chunk on sentence boundaries, synthesize each chunk with POST /v1/audio/speech.
4 min read, 4 min listen
Company
The safeguards SpeechifyAI operates to prevent synthetic voices being used for election misinformation, and the commitments behind them.
6 min read, 6 min listen
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What engineers actually use to add voice to web and mobile apps, and the four decisions that matter: the browser's built-in API versus a cloud one, streaming versus batch, where the key lives, and how to keep audio playing on iOS.
6 min read, 5 min listen
Benchmarks & pricing
The tools for producing narration without hiring voice actors, compared on cost per finished hour rather than per seat. Studio subscriptions cap downloaded minutes; per-character APIs do not. One hour of audio runs from $0.31 to $40 depending on which you pick.
7 min read, 7 min listen
Build guides
Which speech platform to pick when your chatbot has to talk. The decision is not voice quality, it is whether you need a TTS API or a full voice agent, plus how the model reads account numbers and order IDs back to a caller.
7 min read, 8 min listen
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Generate the same script in English, German, Spanish, French, Italian, and Portuguese with the Speechify TTS API. Pick a simba-3.0 voice for each locale, call POST /v1/audio/speech per language, keep the key server-side.
7 min read, 6 min listen
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How a Speechify provider for the AI SDK's generateSpeech() works: a dependency-free speech model that maps POST /v1/audio/speech onto SpeechModelV4, key held server-side in a Next.js route. Speechify now maintains one on npm, @speechify/ai-sdk-provider.
13 min read, 8 min listen
Product updates
simba-3.2 is now the recommended Speechify TTS model, and GET /v1/audio/models lets you discover it at runtime instead of hardcoding a model list. What shipped, which voices it serves, and how to move off simba-3.0.
8 min read, 7 min listen
Build guides
Clone a voice from a browser upload, synthesize speech with it, and keep your API key server-side. A working Next.js voice cloning app built on the Speechify API, no GPU required.
13 min read, 8 min listen
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Stream Speechify TTS as raw PCM, keep the API key server-side, and schedule each chunk into the browser's Web Audio API for low-latency playback.
8 min read, 6 min listen
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Point Deepgram Voice Agent at the open-source tts-shims OpenAI-compatible proxy to speak with a Speechify voice. The shim answers Deepgram's open_ai TTS request and keeps your Speechify key server-side.
8 min read, 8 min listen
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Use SSML pauses, speaking rate, and pronunciation aliases to shape Speechify TTS output from one API request, and know which tags current models apply.
7 min read, 6 min listen
Benchmarks & pricing
On the Artificial Analysis Speech Arena on 23 September 2026, Simba 3.2 was in the top five of 92 models at an Elo of 1,237, and the lowest-priced model in the top ten. How the leaderboard's Elo works, and what two independent latency benchmarks measured.
5 min read, 5 min listen
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Turn long-form ePub or Markdown into a single narrated chapter MP3 with a runnable Python demo: chunk on sentence boundaries, synthesize each chunk, stitch with ffmpeg.
8 min read, 8 min listen
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Speechify is now a direct provider in speech-sdk. Switch existing calls over with a factory function and an API key, no new client required.
4 min read, 4 min listen
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Clone a voice from a short sample and use it to narrate dynamic video content programmatically via the REST API.
9 min read, 7 min listen
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Use the Speechify API's word-level timestamps to generate accurate WebVTT captions for your synthesized audio.
7 min read, 5 min listen
Build guides
How to stream audio from the Speechify TTS API in Python with plain HTTP and requests. Covers chunked streaming to disk and piping audio to a player without waiting for the full payload.
3 min read, 3 min listen
Build guides
A practical guide to synthesizing speech in Node.js using the Speechify TTS API. Covers installation, a basic synthesis call, streaming audio to disk, and what to reach for next.
2 min read, 2 min listen
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