AssemblyAI builds AI systems that can understand human speech with superhuman abilities. Starting building with $50 in usage credits during your 90-day free trial. Cancel any time. After your trial ends, you will automatically be enrolled into an AssemblyAI pay-as-you-go plan. Request a private offer for discounted pricing based on your usage profile.
AssemblyAI offers Speech AI models via an API that product teams and developers can use to build powerful AI solutions based on voice data. Thousands of developers build on AssemblyAI's Speech AI models every day to run Speech-to-Text on multilingual speech, and harness the power of Large Language Models to extract the full value from that voice data - including answering questions from voice data, generating content, and extracting metadata in seconds. AssemblyAI offers two of the world's most powerful and accurate async transcription models, as well as real-time transcription with ultra high accuracy, low latency, and built-in turn detection.
AssemblyAI gives you access to state-of-the-art Speech AI models and capabilities for real-world use cases with unlimited concurrency and no upfront contract commitment, so you can build smarter applications in a fraction of the time. Models and features include:
- Speech recognition - Keyterms prompting for streaming - Auto language detection - Translation - Speaker diarization and identification - Auto punctuation and casing - Custom formatting - Custom spelling - Custom vocabulary - Guardrails, including Content Moderation, PII Redaction, and Profanity Filtering - Filler word filtering - Summarization - Sentiment analysis - Auto highlights - Topic detection (IAB classification) - Entity detection - Auto chapters - Dual channel transcription - Export SRT or VTT caption files
In addition, LLM Gateway allows you to connect speech-to-text outputs directly to your preferred leading LLM provider through a single, unified API for tasks like output fine-tuning, summarization, question & answer, and AI coaching feedback.
Our Speech AI products support 33 different audio and video file types and 99+ languages. Our models are used by thousands of breakthrough startups and dozens of global enterprises for mission-critical workloads.
Highlights
Unparalleled Human-Level Accuracy: Our multilingual speech recognition AI models deliver industry-leading performance with the lowest word error rates on the market, outperforming competitors by over 60% when recognizing challenging content like rare words and proper nouns. Trusted by more than 3,000 innovative companies, including Zoom, our platform provides the foundation for mission-critical speech applications at scale.
Built for enterprise-grade performance, our APIs deliver unmatched scalability for high-concurrency applications. Security is embedded with SOC 2 Type 2, PCI DSS, and GDPR compliance. For healthcare applications, AssemblyAI offers Business Associate Agreements (BAAs). Choose flexible hosting options in both US and EU regions.
Comprehensive Speech Understanding Suite and Guardrails: Our advanced models summarize conversations, identify speakers through diarization, analyze sentiment, moderate content, automatically redact PII, and much more, all in a single platform. Our LLM Gateway seamlessly connects spoken data with your preferred large language models, enabling unlimited possibilities for voice-powered applications in one unified platform.
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay only for what you use, with no upfront commitment. Pricing splits into core transcription models and optional add-ons that stack on top. Async models, streaming models, a single-call Sync API, and a Voice Agent API each carry their own base rate. Async work bills per audio hour; streaming bills per session duration; the Voice Agent API bills per minute. Speech understanding, guardrails, prompting, diarization, and Medical Mode are separate per-hour add-ons layered onto a base model. LLM Gateway bills per million input and output tokens, with the rate set by the chosen model.
Top-of-mind questions for buyers
How is streaming transcription billed — by audio length or connection time?
Streaming bills on the WebSocket session duration, meaning the time the connection stays open, not the audio sent. Idle time between calls counts. Close connections immediately when a call ends to avoid charges for open, unused sessions.
How do the add-ons combine with a base transcription model on my bill?
Add-ons stack additively on the base model's per-hour rate. If you run a base model with Medical Mode and Speaker Diarization, each per-hour charge adds to the base rate for a combined hourly total on the same audio.
How is multichannel audio billed for async transcription?
Multichannel audio bills per channel. A one-hour stereo file with two channels counts as two billable hours. Each channel is transcribed independently. Confirm channel count in advance, since more channels multiply your billed hours.
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Fast, accurate speech-to-text API that was simple to set up in Python
Reviewed on Sep 04, 2026
Review provided by G2
What do you like best about the product?
The transcription accuracy is remarkably high, even when handling background noise and diverse speaker accents. The Python SDK makes integration simple and fast, requiring just a few lines of code to get running. Having built-in speech intelligence features like speaker diarization, auto-punctuation, and content summarisation directly within the API response saves substantial development and pipeline orchestration time.
What do you dislike about the product?
Real-time streaming transcription can occasionally encounter brief latency spikes during fluctuating network condition compared to asynchronous batch processing. in addition, the usage-based pricing can scale up quickly when running high volume production jobs across thousands of audio hours, and accuracy for uncommon regional dialects and technical domain jargon could be enhanced further.
What problems is the product solving and how is that benefiting you?
We had a ton of recorded call logs and audio meetings that were basically dead data because nobody had the time to sit and manually take notes. We thought about hosting our own whisper model on an EC2 instance, but dealing with GPU costs and pipeline maintenance wasn't the headache. Offloading it to AssemblyAI gave us a fast, hands-off pipeline. Now the audio gets transcribed, split by speaker, and pushed directly into our search index in just a few minutes without needing any dedicated server babysitting.
Joshua J.
Easy to Use and Delivers a Great Customer Experience
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
how my customers have a great experience and easy use
What do you dislike about the product?
Nothing as of right now, I’m still in the trial phase
What problems is the product solving and how is that benefiting you?
It has helped me with solving and organizing my chat works
Rahul S.
Accurate, Developer-Friendly API with Reliable Transcription and Clear Documentation
Reviewed on Aug 31, 2026
Review provided by G2
What do you like best about the product?
What I like best about AssemblyAI is its accuracy and ease of integration. The API is developer-friendly, the transcription quality is reliable even with different speakers and accents, and features like speaker diarization and real-time transcription make it very useful for building voice-based applications. The documentation is also clear and makes it easy to get started quickly.
What do you dislike about the product?
The main area I’d like to see improved is the processing speed for longer audio files. Transcription can sometimes take longer than expected, and accuracy can occasionally drop with strong accents, background noise, or technical terminology. More language support and additional customization options would also make the platform even more useful.
What problems is the product solving and how is that benefiting you?
AssemblyAI solves the challenge of converting audio into accurate, structured, and useful text. It makes it easier to transcribe conversations, identify different speakers, and extract insights from voice data without having to build and maintain speech-processing infrastructure from scratch. This saves development time, improves transcription accuracy, and makes it easier to build and scale voice-enabled applications.
Jayesh W.
Building a More Natural Voice Support Experience for Ride-Related Requests
Reviewed on Aug 28, 2026
Review provided by G2
What do you like best about the product?
The strongest part of AssemblyAI was the real-time voice interaction for our ride-support workflow. We used it to prototype an assistant that could check ride status, provide ETA information, capture driver-related issues, and route those requests through defined actions. The conversation flow felt much closer to a support call than a basic speech-to-text interface.
What do you dislike about the product?
The configuration can become fairly detailed once the voice agent needs multiple tools, parameters, and response behaviors. For a support workflow with several actions, getting the tool definitions and prompts aligned takes some iteration before the conversations behave consistently.
What problems is the product solving and how is that benefiting you?
We were looking at how voice support could handle routine ride-related requests without forcing customers through a purely text-based flow. AssemblyAI gave us a way to connect real-time speech interaction with structured support actions such as checking a ride, capturing an issue, and escalating cases that require human attention.
Abbas M.
Effortless Transcription with Top-Quality Models
Reviewed on Aug 27, 2026
Review provided by G2
What do you like best about the product?
I find the ease of use of AssemblyAI amazing, especially with their high-quality models, which are better than most other models we've tried. The cost is really appealing too, and using it via the API makes it simpler and faster, wasting very little time. I really appreciate the upload audio file feature and the ability to use the API for transcribing audio files directly, without needing to access the dashboard. Initial setup was super easy with the instant login and the free trial offering $50 worth of credits, which I think is awesome.
What do you dislike about the product?
I think maybe they could add some video models to it because we use AssemblyAI for audio so much. They could add some video models, that would be really useful. Maybe they could add voice creation features. I'm not sure if they have them, but having any voice creation features also would be nice.
What problems is the product solving and how is that benefiting you?
I use AssemblyAI to transcribe large quantities of audio files efficiently. Using the API is simpler and faster, making it very user-friendly.