From text to finished audiobook | SoundScape AI

Unlike traditional audiobook production that requires manual role assignment, dialogue tagging, and post-production, SoundScape AI automates the entire pipeline. It detects dialogues, characters, and inner monologues with one-click tagging. The audio splicing engine uses speech recognition and text alignment to render complete audio. Post-production automation adds emotion-aware BGM, precise SFX overlays, and reverb. Upload text → get a professional audiobook. 10x faster.

Tines — Build agents & automations integrated across your workspace

Build agents & automations integrated across your workspace

What inspired us? We saw indie authors, podcasters, and content creators struggling to turn stories into audiobooks. Outsourcing is expensive, and DIY editing with multi-voice casting, music, and SFX is too complex. Existing TTS tools only give flat, single-voice reading — no dialogues, no emotions, no atmosphere. So we built SoundScape AI to fully automate the process: smart text analysis (who speaks what, inner vs. outer monologue), role-based voice synthesis, then post-production that automatically matches BGM and SFX based on emotional context. The hardest part was dialogue detection + emotional alignment — a character’s mood changes from scene to scene. We iterated four times on the semantic model to reach studio-quality accuracy. Now anyone with a story can produce an audiobook in one click. Would love your feedback!

Tines — Build agents & automations integrated across your workspace

Build agents & automations integrated across your workspace