Huge congrats on building such a robust infrastructure for video AI. What challenges did you face in balancing performance optimization with flexibility for custom pipelines?
Love how Dubbing 3.0 focuses on flexibility for developers, with granular control over translations, speaker handling, and emotions. It seems like a huge leap for multi-speaker content and long-form videos! How easy is it to integrate Sieve with existing video platforms or pipelines? Also, are there any specific use cases or industries that have seen the most success with Dubbing 3.0?
Hey PH Community! 👋
I’m excited to share Dubbing 3.0 by Sieve here. It is the only AI dubbing solution purpose-built for API integration; it's not a video editor in disguise but an infrastructure for developers. That means everything is API-first, modular, and flexible enough to plug into your tools or workflows. This enables granular control over translation, speaker handling, timing, and voice behavior without locking you into a UI or single model provider.
Existing dubbing solutions are heavily consumer-focused and fall short on long videos, multi-speaker, or production-grade content. They're often optimized for short videos, with minimal speaker control, rigid voice options, and translation outputs that fall apart in morphologically rich languages.
With Dubbing 3.0, we fixed a lot of that:
✅ Better multi-speaker support (useful for podcasts, panel sessions, etc)
✅ More natural, context-aware translations
✅ Expresses emotions better (e.g calm vs frustrated)
✅ Cleaner background audio & voice quality
This helps us generate an output that sounds human, not robotic or stitched together. Enterprises use Sieve to ship production-quality dubbed content with minimal post-processing.
If you're trying to automate localization, build internal pipelines, or power your own video product, Sieve is for you.
That said, if you just need to dub a single video with one click, there are great tools out there (some even powered by us). We’re not trying to replace them—we’re building for dev teams that need scale, control, and deep customization.
Our goal is to make Sieve the default AI layer for video understanding. Thanks for checking us out! We’d love to hear your feedback 🙏
“Translate videos to 30+ languages with one API call”
Dubbing 3.0 by Sieve launched on Product Hunt on June 24th, 2025 and earned 134 upvotes and 8 comments, placing #16 on the daily leaderboard. Localize video content at scale with Sieve’s studio-quality Dubbing API. Generate natural-sounding translations with precise lipsync, voice cloning, multi-speaker support, and accent preservation. Fast, accurate, and fully customizable. Supports 30+ languages.
Dubbing 3.0 by Sieve was featured in API (98k followers), Developer Tools (511.1k followers) and Artificial Intelligence (466.4k followers) on Product Hunt. Together, these topics include over 162.8k products, making this a competitive space to launch in.
Who hunted Dubbing 3.0 by Sieve ?
Dubbing 3.0 by Sieve was hunted by Garry Tan. 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.
Want to see how Dubbing 3.0 by Sieve stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Garry Tan
Huge congrats on building such a robust infrastructure for video AI. What challenges did you face in balancing performance optimization with flexibility for custom pipelines?