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SoundScape AI
From text to finished audiobook
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.
Top comment
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!
About SoundScape AI on Product Hunt
“From text to finished audiobook ”
SoundScape AI was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #154 on the daily leaderboard. 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.
On the analytics side, SoundScape AI competes within Productivity, SaaS and Tech — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how SoundScape AI performed against the three products that launched closest to it on the same day.
Who hunted SoundScape AI?
SoundScape AI was hunted by tian hao. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SoundScape AI including community comment highlights and product details, visit the product overview.