With AssemblyAI's industry-leading Speech AI models, transcribe speech to text and extract insights from your voice data.
Try stating information like names, dates, and address, along with technical data like codes, commands, formulas, and special formatting to see how our model performs... Your call has been forwarded to an automatic voice message system. At the tone, please record your message. When you have finished recording, you may hang up or press 1 for more options. Do you and Quentin still socialize when you come to Los Angeles, or is it like he's so used to having you here? No, no, no, we're friends. What do you do with him? Hi, this is Kelly Byrne Donahue Hi, this is Kelly Byrne-Donahue We build the most accurate, fully featured models on the market, so you can ship with confidence knowing that you’re building on the best. Unlock the value of prerecorded voice data, and power workflows with unmatched accuracy. Build intuitive voice agent workflows with ultra-low latency, high accuracy, precise end-of-turn controls, and more. Enable deep analysis and high-value insights with sophisticated audio-intelligence models. The accuracy and capabilities required to build products that stand out, and the flexibility to scale to millions of users without blinking an eye. Your product experience is only as good as the inputs it’s built on. AssemblyAI’s models lead the industry in accuracy and reliability. Access a full suite of speech understanding capabilities to uncover insights, identify speakers, and build powerful product experiences. Put our AI models to the test in our no-code playground. Learn why today’s most innovative companies choose us. free-to-paid conversion rate after implementing AssemblyAI in customer complaints and support tickets Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Speaker Identification allows you to identify speakers by their actual names or roles, transforming generic labels like “Speaker A” or “Speaker B” into meanin
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Real-time transcription just got a significant upgrade. Universal-3-Pro is now available for streaming — bringing AssemblyAI's most accurate speech model to live audio for the first time. Developers
Real-time transcription just got a significant upgrade. Universal-3-Pro is now available for streaming — bringing AssemblyAI's most accurate speech model to live audio for the first time. Developers building voice agents, live captioning tools, and real-time analytics pipelines now get three things they've been asking for: 🔹 Best-in-class word error and entity detection across streaming ASR benchmarks 🔹 Real-time speaker labels — know who said what, as it happens 🔹 Superior entity detection for names, places, orgs, and specialized terminology in real-time 🔹 Code-switching and global language coverage built-in
View originalPricing found: $0.15/hr, $0.21 /hr, $0.05 /hr, $0.05 /hr, $0.15 /hr
Vibe coding just leveled up. We brought voice mode to Claude Code using AssemblyAI's Universal-3 Pro Streaming. Why type your prompts when you can just say them? You get insane entity accuracy from
Vibe coding just leveled up. We brought voice mode to Claude Code using AssemblyAI's Universal-3 Pro Streaming. Why type your prompts when you can just say them? You get insane entity accuracy from AssemblyAI and the full power of Claude Code, all hands-free. Here's the full command: ASSEMBLYAI_API_KEY=[YOUR-API-KEY-HERE] bash -c "$(curl -fsSL https://t.co/M4zHb11kK4)" And get a free API key from your dashboard: https://t.co/KycoFOzymd Enjoy! 😎🎙️🎧
View original@YouveGotFox was on stage at @HumanXCo this week, and one thing he said captures how we think about building at AssemblyAI. "You always find new things once you go live." No matter how well you plan
@YouveGotFox was on stage at @HumanXCo this week, and one thing he said captures how we think about building at AssemblyAI. "You always find new things once you go live." No matter how well you plan an AI deployment, the edge cases that actually break things are invisible until real users show up. The teams getting this right aren't the ones who anticipated every failure mode. They're the ones who built for visibility—good telemetry, tight feedback loops, and the ability to ship a fix fast. At AssemblyAI, this is how we approach building on every team. The gap between a struggling AI deployment and a successful one usually isn't the model. It's whether your team can see what's breaking and move quickly enough to do something about it. Glad to be at @HumanXCo with builders from around the globe!
View originalBuilt with AssemblyAI! 🎙️💙
Built with AssemblyAI! 🎙️💙
View originalMedical Mode catches it before it gets that far. Works on both Pre-recorded and Streaming audio. HIPAA BAA included. $0.15/hr. See our benchmarks here → https://t.co/Q6qn9sL4pA Test with your own a
Medical Mode catches it before it gets that far. Works on both Pre-recorded and Streaming audio. HIPAA BAA included. $0.15/hr. See our benchmarks here → https://t.co/Q6qn9sL4pA Test with your own audio → https://t.co/fstcax9ctr
View originalThe real failure mode isn't the transcript. It's what comes next. Most healthcare AI pipelines feed transcripts into an LLM → SOAP notes, discharge summaries, referral letters. Wrong drug name in. W
The real failure mode isn't the transcript. It's what comes next. Most healthcare AI pipelines feed transcripts into an LLM → SOAP notes, discharge summaries, referral letters. Wrong drug name in. Wrong drug name out. Errors don't attenuate. They propagate.
View originalGeneral-purpose ASR: 95%+ accuracy on a clinical consult. Also general-purpose ASR: gets "hydrochlorothiazide" wrong every time. Introducing Medical Mode — a correction pass on top of Universal-3 Pr
General-purpose ASR: 95%+ accuracy on a clinical consult. Also general-purpose ASR: gets "hydrochlorothiazide" wrong every time. Introducing Medical Mode — a correction pass on top of Universal-3 Pro optimized for medical entity recognition. Enable it with one parameter. https://t.co/XTarrQ0lxG
View originalTry Medical Mode today: https://t.co/R9SJpyK35L
Try Medical Mode today: https://t.co/R9SJpyK35L
View originalThe Pitt meets AssemblyAI Medical mode 👀 https://t.co/BYCyS1CeXV
The Pitt meets AssemblyAI Medical mode 👀 https://t.co/BYCyS1CeXV
View originalMedical Mode is now available for clinical workflows. We built Medical Mode because a transcript that's 95% accurate can still be unusable in a clinical setting. Errors in general-purpose ASR are oft
Medical Mode is now available for clinical workflows. We built Medical Mode because a transcript that's 95% accurate can still be unusable in a clinical setting. Errors in general-purpose ASR are often concentrated on exactly the tokens clinicians care about most: drug names, dosages, and clinical terminology. "Lisprohumalog" is a phonetically reasonable guess. It's also not a real medication. Most healthcare AI products feed a transcript into an LLM to produce structured output. A wrong drug name in the transcript becomes a wrong drug name in the SOAP note, the discharge summary, the referral letter. Errors don't attenuate through the pipeline. They propagate. Medical Mode runs a correction pass optimized specifically for medical entity recognition: drug names, procedures, clinical terminology. The base model's noise handling and latency characteristics stay the same. Medical Mode just refines the output on the tokens that actually matter. Works on both Universal-3 Pro pre-recorded and Universal-3 Pro Streaming. No commitments or up-charges for BAAs to meet HIPAA compliance. 🔗 Try Medical Mode today: https://t.co/kXFqz3QxaE
View original🔗 Register for our workshop on March 31 https://t.co/LchZl0Cqqa https://t.co/cAduGbxEw4
🔗 Register for our workshop on March 31 https://t.co/LchZl0Cqqa https://t.co/cAduGbxEw4
View original🔗 Read the full blog post: https://t.co/hlzUKgcvcE
🔗 Read the full blog post: https://t.co/hlzUKgcvcE
View originalMost speech-to-text benchmarks are broken. Not because the tools are bad—because the truth files are. When we launched Universal-3 Pro, some customers flagged that their benchmarks showed the new mod
Most speech-to-text benchmarks are broken. Not because the tools are bad—because the truth files are. When we launched Universal-3 Pro, some customers flagged that their benchmarks showed the new model performing worse than older ones. So we dug in. What we found: the model was inserting words that weren't in the human truth files. When we listened back to the audio, the vast majority of those "errors" were words genuinely spoken—ones the human transcriptionist had missed. The better your AI gets, the more it exposes flaws in the ground truth it's being measured against. We built tooling to fix this—corrected truth file workflows, semantic word lists, and a GitHub repo to help you build benchmarks that hold up in production. You can test this tool on your own, or come learn how to use them on March 31 at our hands-on session on truth files, Semantic WER, and production-ready benchmarking.
View originalYou probably already know someone who's been talking about adding Voice AI to their product We just launched a referral program to help you help them get started: $100 in AssemblyAI credits for them,
You probably already know someone who's been talking about adding Voice AI to their product We just launched a referral program to help you help them get started: $100 in AssemblyAI credits for them, up to $100 cash for you Now is the time to share your invite link with that friend you've been brainstorming speech-to-text ideas with Find your custom link in your AssemblyAI dashboard under 'Refer Friends' and send it to whoever comes to mind 👇 https://t.co/DKFpPMrfnA
View original@kfugere we love to see it 💙🎙️
@kfugere we love to see it 💙🎙️
View originalTry it yourself at https://t.co/SQeiHxGKPj
Try it yourself at https://t.co/SQeiHxGKPj
View originalYes, AssemblyAI offers a free tier. Pricing found: $0.15/hr, $0.21 /hr, $0.05 /hr, $0.05 /hr, $0.15 /hr
Key features include: Avoid garbage in, garbage out, Go beyond transcription, Easy to start, even easier to scale.
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