Most marketing teams know video 🎥 is the highest performing format.
Most also know they don't have the time, the budget, or the team to make it work.
We pulled stats every marketing team should know before planning their next video.
According to @SproutSocial, 63% of marketers are already editing video with AI. The shift is already happening.
What's your team's next move?
#videomarketing #videoediting #async
Big news for Async text-to-speech!
Async Flash v1.5 just landed in the most attractive quadrant on Artificial Analysis’ Quality vs. Price benchmark with the best quality score among models under $10 per 1M characters 💪🏻🏆
That means Async now gives creators one of the strongest quality-to-price ratios in the TTS market, ahead of ElevenLabs, MiniMax, Microsoft, and OpenAI.
High-quality AI voice is no longer a premium-only feature. It’s already inside Async.
#AIVoice #VoiceAI #TextToSpeech #TTS #Async
Still editing your videos manually? 🎬
You can just talk to a chat now.
Cut the background. Remove noise. Add captions. Change the vibe. Done.
That's the new workflow that Async offers.
#Async#creators#videoeditor#aivideo
@thecoachchris_ Hi Chris, thanks for flagging this. We're sorry your experience with Async hasn't been smooth. Our customer support team is reviewing your case and will be in touch shortly.
This 10-second habit will double your retention.
It doesn’t just give you a score, it smart-edits for you instantly, finds your strongest hook, trims the filler, and levels your audio so viewers stick around until the very end.
Watch your content get polished and more engaging in seconds! ✨
Save this for your next video! 📌
#Async #contentcreators #viralvideo #AIvideo #creators
Spotify's disco ball logo broke the internet, and now everyone wants in. 🪩
Lovable, Picsart, Semrush, and GitHub have all reimagined their logos in glitter. ✨
We're sharing the prompt so you can turn yours into one too. Open Async chat, attach your logo, paste the prompt, and watch your logo glow. ⚡
#spotify #async #prompt #discoball
@async_platform cut latency to under 100ms by fixing the pipeline, not the model. Voice AI fails not where it speaks, but where it hands off. @BerryWrites examines the infrastructure making voice AI work: https://t.co/Gqi9Cm0snq 🧵5/5
Designers, Recraft V4.1 is a massive leap forward!
Lower your tab count on Adobe Stock and give this a spin on Async. The new Vector engine delivers consistent, professional-grade assets that are actually usable in your layouts.
Better vectors. Better taste.
Check it out 📷 https://t.co/DTD2G408kt
Calling rising creators 📣
We're opening the first wave of the Async Ambassadors program and looking for 20 creators to build with us.
This isn't an influencer push. It's a program for emerging creators in AI, video editing, creator workflows, and content monetization. People who teach, share real process, and influence other creators by being useful, not loud.
Who we're looking for:
✓ Up to 20k followers on Instagram
✓ Active in AI tools and creator workflows
✓ Strong educational angle in your content
What ambassadors get:
✓ Full Async access
✓ 6,000 monthly credits
✓ 20% recurring affiliate commission
✓ Early access to new features
✓ Direct line to the Async team and creator community
✓ Amplification across our channels
We're building with rising creators early. You grow your audience. We grow with you.
20 spots. First wave only.
Learn more and apply: https://t.co/v1HAe9xwmF
#creators #Async #aicontent #videocreator #creatoreconomy
Async's first creator challenge is open for Instagram users 🔥
For @MentalHealthMonth, Async is opening its first creator challenge.
We're asking for 30 to 60 seconds of something real. The mask we wear. A small win. Your reset button. What creating looks like on the days it's hard. Or an angle that's entirely your own.
Prizes:
📷Sony ZV-E10 II + lens
📷 DJI Osmo Pocket 3 Creator Combo (plus mics, filters, and creator gear)
📷 Insta360 GO Ultra Plus ten runner ups get Async Pro for a year with 3,000 monthly AI credits.
Post on Instagram by May 20 with and tag @async_platform. Winners will be revealed from May 27 to 29.
Most AI demos fail quietly in production.
Not because the model is bad.
Because the edge cases are ignored:
🔢 numbers
📅 dates
🔤 abbreviations
🧩 weird formatting
⚡ latency spikes
🧪 long-tail user input
For Voice AI agents, tail behavior matters more than average quality.
@OGDegenChief Sorry that's blocking you. To get to the bottom of it fast, send a screenshot or screen recording of what happens when you hit import to [email protected] and we'll figure out what's going on.
Every era had its creators. People who looked up, saw further, and turned imagination into something real.
The ambition never changed. The tools did.
Async is built for a new era of creation, where ideas move faster, workflows feel seamless, and making becomes fluid.
This is not just another tool. It’s a new way to create.
This was made by one of our creators. Not a studio, not a team. Just Async and an idea.
#MadeWithAsync
THIS IS WILD! 🤯
A new benchmark just dropped and it turns out AI voice systems have been mispronouncing dates and other data
Here's why it happens (and what to do about it)👇
Inline text normalization for Voice AI agents!
Real-time TTS models still struggle with non-standard text. Numbers, dates, currencies, abbreviations - the structured text that shows up in every production voice agent.
"$42.50" should sound like "forty-two dollars and fifty cents," not "dollar sign four two period five zero." "03/15/2024" should be "March fifteenth, twenty twenty-four," not "zero three fifteen twenty twenty-four."
Async released an industry benchmark to measure how well streaming TTS models handle this. The test: 2,200+ non-standard words across 1,000+ sentences in true streaming conditions with no preprocessing and no text rewriting.
Results across four commercial models:
• Async Flash v1.0: 81.2% sentence-level accuracy, 88.6% unit-level accuracy
• Inworld TTS-1: 49.8% sentence-level, 67.8% unit-level
• ElevenLabs Flash v2.5: 40.3% sentence-level, 56.4% unit-level
• ElevenLabs Multilingual v2: 37.9% sentence-level, 52.5% unit-level
Sentence-level accuracy requires every word in a sentence to be normalized correctly. Unit-level accuracy scores each word independently.
Why inline normalization: Traditional TTS pipelines preprocess text before synthesis. Async normalizes during synthesis, improving accuracy for structured text in real-world voice agent contexts.
The benchmark includes audio samples where you can hear the normalization differences across models.
I've shared the link in the replies!
The accuracy gap in production voice AI is wider than most people realize.
Async’s benchmark on non-standard text shows 81.2% sentence-level accuracy and 88.6% unit-level accuracy, tested on 2,200+ non-standard words in true real-time streaming.
No preprocessing. No text rewriting.
Link down below