Audiobooks
Synthesize book-length content from start to finish with a consistent narrator and natural pacing. The narrative flow holds across chapters, not just sentences.
Text to Speech (TTS)
Unlike standard TTS that adds emotion sentence by sentence, we analyze the whole text first, then synthesize. The difference shows up in long-form batch work — ebooks, audiobooks, narration.
Emotion-awareBatch-optimizedLong-form Narration
Beyond Sentence-level Emotion
You don't hear sentences. You hear the whole text.
Most TTS attaches emotion one sentence at a time. That's fine for short notifications, but for long-form content like ebooks the tone breaks between sentences and emotional consistency collapses.
That's why we read the whole text first. An LLM interprets paragraph and speaker intent to build an emotional arc, then passes it to the synthesis model.
The result — a book-length audiobook that lands as a story, not a sequence of sentences — delivered fast and consistently on a pipeline built for batch.
Reading one sentence well is the starting line. We're responsible for the experience of listening to the whole book.
— CEO & Chief Architect, RightStack
Built to carry long-form content
Flow-aware emotion tagging
We read the entire text first and tag emotion, tone, and speaker intent at the paragraph level. The flow of the whole text — not just individual sentences — shows up in the audio.
Batch-optimized pipeline
A pipeline built to synthesize book-length text in one shot. Long-form content runs reliably, fast.
Consistent voice and tone
Speaker tone and emotional baseline hold steady across chapters. Quality stays consistent over hours of audio.
Natural breathing and pacing
Pauses between sentences and transitions across paragraphs are built to sound like a person reading.
Region-level re-synthesis
Selectively regenerate only the segments flagged in review. Partial fixes without restarting the whole job.
Automated delivery and webhooks
A webhook fires on synthesis complete; the rendered audio is pushed straight to S3-compatible storage. Downstream systems consume directly without polling.
Where it's used
Conversational agents
Voice the responses of chatbots and virtual assistants with natural-sounding speech. Tone is held across the conversation context — not rebuilt sentence by sentence — so users feel they're talking to a person.
Accessibility content
Convert books, documents, and articles into natural audio for users who consume content by listening. Built for long-form reading — and complements traditional screen readers for content delivery.
