AssemblyAI provides developer-friendly Speech AI models that transcribe and understand audio with industry-leading accuracy. Through a simple API, you can run streaming or batch speech-to-text, then add audio intelligence like speaker diarization, summarization, sentiment, topic and entity detection, chaptering, content moderation, PII redaction, and more. Built for production scale, AssemblyAI powers voice features in apps from meetings to media, call centers, and analytics.
Transcribe calls, meetings, podcasts, and media with models trained on massive multilingual datasets. Use real-time streaming for live captioning and voice features, or asynchronous jobs for long files. The API handles accents, noise, and domain shifts while returning timestamps and confidence scores. Universal-2 and future releases raise accuracy out of the box, so teams ship reliable transcripts without maintaining decoders, lexicons, or bespoke pipelines.
Go beyond raw text with speaker diarization, summarization, sentiment, topics, entities, chapter detection, and content moderation. Automatically label who said what, extract key moments, and flag sensitive content. PII redaction helps protect privacy by masking names, emails, and numbers in transcripts and audio. These models transform hours of recordings into compact summaries and searchable metadata that drive workflows, discovery, and downstream analytics across teams.
Start fast with a clean REST API, WebSocket streaming, and SDKs for popular languages. Upload via URL or direct file, poll for results or use webhooks, and compose multiple models in one request. Clear examples, quickstarts, and troubleshooting guides shorten integration time for teams building voice features into apps, backends, or data pipelines. From prototypes to high-volume workloads, the developer experience stays approachable, predictable, and well supported.
Operate with confidence on a platform designed for privacy and uptime. Data is encrypted in transit and at rest, with optional PII redaction, retention controls, and auditability. SLAs, a public status page, and enterprise support help teams meet compliance needs across regulated industries. The service scales to large volumes and long files, with regional hosting options, and the roadmap delivers steady accuracy and latency improvements without disruptive API changes.
Use AssemblyAI where you work—call the API directly, run through cloud marketplaces, or connect via partner integrations and connectors. Combine Speech-to-Text with Audio Intelligence in one pass, or feed transcripts to downstream LLMs for retrieval, training data, and generation. The modular approach lets teams mix models per use case while avoiding lock-in, so upgrades to newer releases improve results without rearchitecting pipelines or rewriting code across services.
Developers and product teams building voice features into apps, platforms, and analytics pipelines. Ideal for transcription at scale in SaaS, media, collaboration, customer support, education, sales enablement, and research. Great for teams that need accurate captions, searchable archives, meeting notes, post-production workflows, or LLM-ready transcripts—and want one API that adds diarization, summaries, and redaction without extra services or complex infrastructure.
Replaces brittle DIY speech stacks and patchwork models with one API for transcription and audio intelligence. It solves accuracy and maintenance pain by bundling best-in-class ASR with diarization, summaries, and PII controls, delivered as reliable streaming or batch workflows. Teams move faster, standardize voice data across products, and unlock search, analytics, and automation use cases—without managing decoders, training corpora, or glue code.
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