Sold by: AssemblyAI
Deployed on AWS
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.
4.4
Overview
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.
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
Universal-2 | Fast, intelligent async transcription with exceptional accuracy and unlimited concurrency | $0.15 |
SLAM-1 (deprecated) | Highest accuracy transcription powered by LLM intelligence | $0.27 |
Universal Streaming | Fast, accurate real-time transcription. Built-in turn detection and unlimited concurrency | $0.15 |
Keyterms Prompting (Universal Streaming) | Improve recognition accuracy for specific words and phrases | $0.04 |
Speaker Identification | Identify speakers by their actual names and roles | $0.02 |
Translation | Automatically convert your transcribed audio content from one language to another | $0.06 |
Custom Formatting | Ensure consistency through automatic, standardized formatting | $0.03 |
Entity Detection | Identify entities like person and company names, email addresses, dates, and locations | $0.08 |
Sentiment Analysis | Detect the sentiment of each sentence of speech spoken in your audio files | $0.02 |
Auto Chapters | Automatically generate a summary over time for audio and video files | $0.08 |
Dimensions summary
You pay only for what you use, billed per hour of audio with no commitment. Core transcription models form the base: async options (Universal-2, Universal-3.5 Pro), streaming (Universal Streaming, Universal-3.5 Pro Realtime), plus Sync and Dictation APIs. Most other dimensions are add-ons that stack on a base model rate, including diarization, prompting, medical mode, translation, formatting, detection, summarization, and redaction. Some add-ons offer effort levels that affect price. Voice Agent API bundles everything into one per-hour rate. LLM Gateway bills per token, varying by the model you select.
Top-of-mind questions for buyers
Async (pre-recorded) bills per hour of audio you submit. Streaming bills on session duration — the time the connection stays open, not the audio sent. Idle time counts, so close connections when calls end. Multichannel audio bills per channel, so a two-channel file counts as two hours.
Add-ons stack additively on the base model's per-hour rate. Running a base model with diarization and medical mode adds each add-on rate to the base rate for every audio hour. Streaming add-ons apply across the whole session, not just speaking time.
Voice Agent API bundles speech-to-text, the language model, text-to-speech, turn detection, and hosting into one per-hour rate with no per-layer add-ons or concurrency fees. Building your own pipeline meters each piece separately: a realtime model base rate plus independent LLM Gateway token charges and text-to-speech.
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Support
Vendor support
Support is available 24/7 via chat on our website at <www.assemblyai.com > or email at support@assemblyai.com .
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Vikash K.
Speech-to-Text with Speaker Identification and PII Protection
Reviewed on Oct 06, 2026
Review provided by G2
What do you like best about the product?
As an AI engineer building an insurance claims platform, we needed a way for field adjusters to dictate property damage briefs directly from noisy job sites without manually typing on a mobile device. I really appreciate AssemblyAI's latest Universal-1 model, which is incredibly reliable against background noise like wind and traffic. It accurately captures complex alphanumeric policy codes and specific insurance terminology. The Python SDK and the asynchronous audio processing in our FastAPI backend are very helpful. Their speaker diarization feature is particularly valuable; it separates voices, making transcription of adjuster interviews with homeowners much easier for downstream processing. The PII redaction tool is also crucial for compliance, automatically masking sensitive information from recordings before they reach our database, which keeps our system secure.
What do you dislike about the product?
Implementing AssemblyAI's real-time streaming WebSocket API is notably more complex than using their standard asynchronous endpoint. Handling WebSocket connections, especially with mobile network drops, requires unexpected engineering overhead. It would help if their Python SDK offered more robust auto-reconnecting wrappers for unstable cellular connections. Additionally, their LeMUR framework, meant to apply LLMs directly to transcribed audio, doesn't fit our specialized needs. We already use our own customized LangChain orchestration to extract specific data and calculate exact Actual Cash Value (ACV) financial math from the transcripts. Because of our strict deterministic requirements, we bypass LeMUR entirely, making that portion of their platform redundant for our tech stack.
What problems is the product solving and how is that benefiting you?
AssemblyAI solves a massive data entry bottleneck for our mobile workforce. Before this, adjusters spent hours manually typing out add-on property damage assessments, which was tedious and sometimes physically unsafe when inspecting structurally compromised roofs. Now, they simply dictate a summary of the damage into their app, and AssemblyAI translates it flawlessly into text. This eliminates manual typing and drastically accelerates the speed at which our downstream pricing agents can analyze a claim.
Chaitanya T.
Veryi Useful Speech-to-Text Conversion for College Projects
Reviewed on Sep 26, 2026
Review provided by G2
What do you like best about the product?
I have used this for my college project where I found it very much useful for the speech to text conversion
What do you dislike about the product?
The downsides of this is the limited free tier credits,you may need to pay for it if you go out of free credit tiers
What problems is the product solving and how is that benefiting you?
Basically the speech to text conversion is a difficult task because you need to identify where the voice of a person is relevant as human voice consists of many unwanted sounds and fillers, which is hard to tackle.
Jeet S.
Easy-to-Test Voice Agents with a Great Playground and Real-Time Transcription
Reviewed on Sep 09, 2026
Review provided by G2
What do you like best about the product?
What I like most about AssemblyAI is how easy it is to use and test. I especially like the Playground because I can quickly try voice agents and adjust the prompt, voice, and other settings without needing much setup. The templates are also useful for trying different use cases.
I also appreciate that there’s solid developer support through the API, plus Python and JS options. The $50 credit is a nice bonus because it gives enough room to test the platform properly. Real-time transcription with interruption controls is another feature I personally like, and it’s something I didn’t see in others. To be honest Platform walkthrough was great , so i will say UI UX of the platform was self explanatory but overwhelming.
I also appreciate that there’s solid developer support through the API, plus Python and JS options. The $50 credit is a nice bonus because it gives enough room to test the platform properly. Real-time transcription with interruption controls is another feature I personally like, and it’s something I didn’t see in others. To be honest Platform walkthrough was great , so i will say UI UX of the platform was self explanatory but overwhelming.
What do you dislike about the product?
Some settings need a bit of testing before I can get the output I’m looking for. I also feel the pricing can become expensive as usage increases, especially on bigger projects.
What problems is the product solving and how is that benefiting you?
AssemblyAI solves my biggest problem: the trial-and-error that comes with live implementation. I can use the playground, and it helps me understand what I need and which metrics I can control. It also offers more detailed controls like Min Silence, Max Silence, Speaker diarization, Medical mode, Voice focus, Turn silence, VAD threshold, and Interruption delay. When I’m not fully aware of the workflow, it provides ready-made templates, which makes my life much easier.
Arpan s.
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