Introducing Dubbing 3.0 - the highest quality AI video translator. - Handles multi-speaker video better than any provider.- Expresses emotions better (e.g calm vs frustrated).- More natural, context-aware translations.- Supports 30+ languages and accents

RT @mokshith_v: Video as a foundation for AGI. I really like one of the ideas Demis explores in this conversation: Veo 3 as a world simula….

RT @thpicy: If you're a cracked infra engineer who:.- loves Go, ETL, OLAP DBs, k8s.- wants to change the future of video AI.- loves seeing….

RT @mokshith_v: The last two months have been insane. I randomly came into the office this morning and decided to record this video on why….

Note: VEED appears to have the same overall score as Sieve in this evaluation because it uses Sieve’s dubbing pipeline under the hood.

One thing is clear:. Voice cloning ≠ good dubbing. True quality comes from systems that understand who’s speaking, what they mean, and how it should sound in another language. Explore our methodology and the full results here:

Here are the 5 tools that performed best overall on a scale of 5:. 1/ Sieve & @Veedstudio - best overall in accent preservation, speaker identity, and contextual translation. 2/ @Panjayai - strong emotional nuance and timing. 3/ @HeyGen_Official - solid voice quality, but.

Each tool was benchmarked on translation accuracy, grammar, accent preservation, voice identity, timing sync, audio clarity, speaker consistency, and more.

We benchmarked 14 of the top AI dubbing tools, and the results shocked us. Even some of the popular names failed at preserving speaker identity or handling multi-speaker videos. For context, the evals were conducted by third-party native speakers across 8 languages.

We also rank highest in a head-to-head evaluation of the 15 top dubbing providers, benchmarked on speech & accent quality, multi-speaker handling, and translation accuracy. The evals are backed by third-party human reviewers, and the full results drop later this week.

Most AI dubbing tools fall apart on multi-speaker videos, long content, and morphologically rich languages. We rebuilt our dubbing pipeline from the ground up to handle all of it, accurately and at scale. Learn more about how we rebuilt our dubbing pipeline:

Multi-modal models like GPT-4o are starting to outperform traditional models on core video/audio understanding tasks. One example is diarization in AI dubbing. Most tools break on multi-speaker videos. We're shipping a fix for this + major upgrades next week. Here's a preview.

RT @mokshith_v: Today, we’re launching “The Dubbing Rubric” — a method for properly evaluating AI dubbing systems. Including a set of huma….

We think transparency in how AI capabilities work and are evaluated is key to developers building trust in using them. Tomorrow, we'll be sharing the work we've done improving a specific API we serve (one that involves a ton of nuance in judging quality). Stay tuned.

RT @JetJadeja: 🏒 Just open sourced Hockey AI!. - YOLO player/puck detection. - ByteTrack with temporal smoothing. - MobileNetV3 + spectral….

RT @realsidjain: Built an AI tool to personalize my sales videos at scale. Here's a sneak peak. Audio and video are 100% AI generated. Shou….

We're in London at @veedstudio HQ this weekend with 150 hackers building Gen AI video tools. They got access to caffeine, pizza, a bunch of Sieve credits, and a few unreleased APIs 👀. Let's see what they cook up in the next 24 hours!

RT @awdii_: I used AI to build a knowledge graph of every @dwarkesh_sp episode! 🚀. Scrape thousands of hours of youtube content. Generate….

RT @awdii_: I used AI to make ANY YouTube video 1/4 the length!. Introducing TLDR Tube, simply take a link to a youtube video, and instantl….

We’re giving away $50K in Sieve credits to teams that join the Vercel AI Accelerator. Deadline is tomorrow so apply below!.