AssemblyAI
A developer-focused speech-to-text API offering accurate transcription, speaker diarization, and audio-intelligence add-ons, priced on usage rather than as a finished consumer app.
Visit websiteWhat it does
AssemblyAI is a speech-to-text API built for developers rather than end users — instead of a transcript editor or export screen, it provides a REST and streaming API that teams call from their own applications. Its core transcription models are paired with optional add-ons like speaker diarization, sentiment analysis, and PII redaction, so a team pays only for the specific audio-intelligence features their product needs.
This makes it a natural fit for engineering teams building transcription, call analysis, or voice-agent features into their own product, rather than for someone who just wants to transcribe a personal recording — for that, one of the consumer-facing tools on this page is a simpler starting point.
Ideal users
- Engineering teams building transcription, voice, or audio-intelligence features into their own product
- Startups needing a pay-as-you-go speech-to-text API without seat licenses or subscriptions
- Developers building voice agents or real-time transcription features that need low-latency streaming
- Teams that need add-on audio intelligence — speaker labels, sentiment, PII redaction — via API rather than a UI
Who should avoid it
- You want a finished transcription app with an editor and export options — Sonix, Trint, or Descript fit better
- You need guaranteed human-verified accuracy for legal or medical documents — Rev is built for that
- You have no engineering resources to integrate an API — a consumer-facing tool is a better fit
- You need a fully free, self-hosted option with no per-minute cost — Whisper is the better starting point
Key features
- Pay-as-you-go batch and real-time streaming transcription API, no subscription or seat licenses
- Universal-2 and Universal-3.5 Pro speech models with published accuracy benchmarks
- Add-on audio-intelligence models: speaker diarization, sentiment analysis, PII redaction, and more
- Voice Agent API bundling speech recognition, LLM reasoning, and text-to-speech for conversational apps
- SDKs and documentation for common languages and frameworks
- $50 in free credits on signup, no credit card required to start
Pros / Cons
Pros
- Transparent, granular usage-based pricing with no seat licenses or minimum commitments
- Strong accuracy and low-latency streaming, competitive with other leading ASR providers
- Modular add-ons let you pay only for the audio-intelligence features you actually use
- Free credits make it easy to prototype before committing budget
Cons
- Requires engineering effort to integrate — not a ready-to-use app for non-developers
- Add-on features stack on top of the base rate, so real per-hour cost is often higher than the headline price
- In-region (US/EU) processing carries a price premium over global routing
- No built-in editor, export UI, or collaboration features — those must be built by the integrating team
Pricing
Paid — $0.15/hour (Universal-2, pay-as-you-go)
As of mid-2026, per AssemblyAI's official pricing page: pre-recorded transcription starts at $0.15/hour (Universal-2) and $0.21/hour (Universal-3.5 Pro); real-time streaming is similarly priced from $0.15/hour, with a Universal-3.5 Pro Realtime tier around $0.45/hour. The Voice Agent API (combining STT, LLM reasoning, and TTS) is billed at $0.075/minute, about $4.50/hour, all-inclusive. Add-ons stack on top of the base rate per hour of audio: speaker diarization adds $0.02 (standard) to $0.065 (experimental) for pre-recorded audio or $0.12 for streaming, sentiment analysis adds $0.02, PII text redaction adds $0.08, PII audio redaction adds $0.05, entity detection adds $0.08, translation adds $0.06, and medical mode, topic detection, and content moderation each add $0.15. In-region (US/EU) processing carries roughly a 10% premium over global routing. New accounts get $50 in free credits.
Typical workflows
- A developer integrates AssemblyAI's API into a customer-support platform to transcribe calls, tag sentiment, and redact PII automatically before storing call records.
- A startup builds a voice-agent product using AssemblyAI's Voice Agent API to handle speech recognition and response generation in one integrated pipeline rather than assembling separate STT, LLM, and TTS services.
Integrations
- REST API and streaming WebSocket API
- SDKs for major programming languages
- LLM Gateway for combining transcripts with downstream language-model processing
Privacy & security notes
AssemblyAI is SOC 2 Type II certified and PCI-DSS 4.0 Level 1 compliant, encrypts data at rest (AES-128/256) and in transit (TLS 1.2+), and lets customers choose US or EU data processing and storage, self-serve, via its Dublin, Ireland facility for EU. On the standard asynchronous API, audio files are deleted within 24-48 hours and transcripts begin deletion at 72 hours by default (configurable via a Time-To-Live setting down to 1 hour, or retained indefinitely if no TTL is set); the Streaming API offers zero data retention for customers who opt out of the model-training program. Training opt-out, TTL, and BAA requests can all be managed from the dashboard's Data Controls page.
Frequently asked questions
Is AssemblyAI a finished transcription app, or do I need to build something with it?
It's an API, not a consumer app — you (or your engineering team) need to build or use a product that calls it. If you want a ready-made transcript editor, a tool like Sonix or Trint is a better fit.
How does AssemblyAI's pricing compare to competitors?
Its base per-hour rate is competitive with other leading speech-to-text APIs, but add-on features (diarization, sentiment, redaction) stack on top of the base rate, so actual cost depends heavily on which features a given integration uses — always price out your specific feature combination rather than comparing headline rates alone.
Can AssemblyAI handle real-time transcription, not just recorded audio?
Yes, it offers real-time streaming transcription in addition to batch processing of pre-recorded files, aimed at use cases like live captioning or voice agents.
How is AssemblyAI different from using Whisper directly?
AssemblyAI is a managed commercial API with built-in add-on features, support, and SLAs, whereas Whisper is an open-source model you can self-host for free but must operate and maintain yourself. Teams that want a supported, feature-rich API without managing infrastructure typically choose AssemblyAI; teams that want zero per-minute cost and full control choose Whisper.
Best alternatives
Whisper
FreeOpenAI's open-source speech-recognition model, free to self-host under an MIT license, with strong multilingual accuracy for developers and privacy-minded users wanting full control.
Sonix
PaidAn automated transcription and translation platform supporting 50+ languages, with a browser-based editor and integrations built for researchers, video producers, and international content teams.
