Async Platform

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: async.com/ambassador-pro… #creators #Async #aicontent #videocreator #creatoreconomy

AI comes up in your conversations more than the weather now 😂 #AI #generativeAI #meme

How to enter or other details: async.com/contest

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 support@async.com and we'll figure out what's going on.

@async_platform Import audio is not working on your website

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

@itsafiz Thank you @itsafiz 😊 We'd love to hear how it performs on your own test cases.

@async_platform The results are very impressive. I want to give it a try for sure.

Ask a voice agent to say "Nov 3rd" or "$1,299" 🎙️ That's where most of them fall apart. Our real-time voice model Async Flash v1.0 topped every other streaming TTS provider we tested: 81.2% sentence accuracy, 88.6% unit accuracy 🏆

One of the biggest problems with real-time streaming is the need to normalize text. For example, if you want to say "Dr. Smith makes $350/hr", you need to normalize the text to something like "Doctor Smith makes three hundred fifty dollars per hour." We use normalization pipelines for that. They work, but they introduce a lot of problems: • Added latency on every single request • Another moving part to maintain and monitor • Brittle rules that break on edge cases • Harder to debug when something sounds wrong Async just published the first open benchmark measuring exactly this, and the differences across providers are significant. When you are streaming audio in real time, you don't have time for preprocessing. Instead, you want the model to handle the normalization in-line, instantly. This model performs in-line normalization during streaming, with no preprocessing and no text rewriting. Look at the attached benchmark results. You can see how much difference there is across providers.

👉 You can explore the benchmark: …rmalization-benchmark.static.hf.space/index.html

When you decided to host a podcast 🐙 Nobody warned you about: → Chasing guests → Recording, re-recording, then editing for 6 hours → Turning every episode into 47 vertical clips To every solo host out there wearing all hats, we see you 🫡 #Podcasting #Async

💥HUGE update! 100+ AI video, image, and audio generation models are officially available inside Async! 💬 Generate content directly inside your project chat, drop it into your timeline, and edit just as fast. No switching tools! Start your dream project today! #Async #AI

📷𝐏𝐨𝐝𝐜𝐚𝐬𝐭𝐥𝐞 𝐢𝐬 𝐧𝐨𝐰 𝐨𝐟𝐟𝐢𝐜𝐢𝐚𝐥𝐥𝐲 𝐀𝐬𝐲𝐧𝐜! No, we weren’t acquired. No, we’re not going anywhere. Just getting smarter, faster, and fully AI-powered. Step inside Async.com unleash your ideas now! More details coming soon!

Plot twist: Sunday isn't for dreading Monday. It's for finishing that episode so you can flex on Tuesday. 😎 Who's making moves today?

Saturday vibes check: 🟢 Cozy setup 🟢 Good coffee 🟢 Zero interruptions 🟢 Podcastle open Time to cook! 🎙️👨‍🍳

Real talk: Someone needs to hear exactly what you have to say. Not tomorrow. Not next week. TODAY. Go create. 💥 #Podcastle #Podcasttips #ContentCreator #FridayInspiration