Universal-3.5 Pro is AssemblyAI's most accurate speech-to-text model, now available at our Realtime & Async endpoints. It transcribes every conversation exactly as it's heard—code-switching across 18 languages, our most accurate speaker diarization yet, and contextual prompting to steer results.
Hey Product Hunt 👋 Happy to be back with another model from the team at AssemblyAI, and today we're launching Universal-3.5 Pro for Async & Realtime.
If you've ever built on top of transcription, you know the transcript is the first mile: everything downstream—summaries, agents, analytics, search—is only as good as the words you start with. So we focused this release on getting that first mile right, especially for the messy, multilingual, real-world audio that most models still stumble on.
Three things we're most excited about:
🌍 Native code-switching across 18 languages. When a speaker moves from English to Spanish and back mid-sentence, Universal-3.5 Pro transcribes the mix in the language it was actually spoken—no separate models, no configuration, no mangled boundaries. It's native to the model across English, Spanish, German, French, Portuguese, Italian, Turkish, Dutch, Swedish, Norwegian, Danish, Finnish, Hindi, Vietnamese, Arabic, Hebrew, Japanese, and Mandarin.
🗣️ Our most accurate speaker diarization yet. Cleaner "who said what," including on short turns, overlapping speech, and noisy environments where diarization usually falls apart. [Drop in the DER / cpWER improvement figure from the post.]
✍️ Contextual prompting. Give the model a plain-language prompt about your audio—the domain, the scenario, the names and jargon that matter—and it biases toward getting those right. No brittle vocabulary lists to maintain.
— Devon & the AssemblyAI team
About Universal-3.5 Pro on Product Hunt
“The most accurate STT model from AssemblyAI.”
Universal-3.5 Pro launched on Product Hunt on July 8th, 2026 and earned 126 upvotes and 18 comments, placing #12 on the daily leaderboard. Universal-3.5 Pro is AssemblyAI's most accurate speech-to-text model, now available at our Realtime & Async endpoints. It transcribes every conversation exactly as it's heard—code-switching across 18 languages, our most accurate speaker diarization yet, and contextual prompting to steer results.
On the analytics side, Universal-3.5 Pro competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Universal-3.5 Pro performed against the three products that launched closest to it on the same day.
Who hunted Universal-3.5 Pro?
Universal-3.5 Pro was hunted by Devon Malloy. 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.
Devon Malloy
Hey Product Hunt 👋 Happy to be back with another model from the team at AssemblyAI, and today we're launching Universal-3.5 Pro for Async & Realtime.
If you've ever built on top of transcription, you know the transcript is the first mile: everything downstream—summaries, agents, analytics, search—is only as good as the words you start with. So we focused this release on getting that first mile right, especially for the messy, multilingual, real-world audio that most models still stumble on.
Three things we're most excited about:
🌍 Native code-switching across 18 languages. When a speaker moves from English to Spanish and back mid-sentence, Universal-3.5 Pro transcribes the mix in the language it was actually spoken—no separate models, no configuration, no mangled boundaries. It's native to the model across English, Spanish, German, French, Portuguese, Italian, Turkish, Dutch, Swedish, Norwegian, Danish, Finnish, Hindi, Vietnamese, Arabic, Hebrew, Japanese, and Mandarin.
🗣️ Our most accurate speaker diarization yet. Cleaner "who said what," including on short turns, overlapping speech, and noisy environments where diarization usually falls apart. [Drop in the DER / cpWER improvement figure from the post.]
✍️ Contextual prompting. Give the model a plain-language prompt about your audio—the domain, the scenario, the names and jargon that matter—and it biases toward getting those right. No brittle vocabulary lists to maintain.
— Devon & the AssemblyAI team