AssemblyAI Reviews:AI-powered Speech to Text API
AssemblyAI offers a comprehensive AI-powered Speech-to-Text API to transcribe and analyze audio for a variety of use cases. It can be used for summarization, content moderation, and topic detection. The AI model can transcribe and process audio files, live audio streams, and more. AssemblyAI is targeted towards developers and companies looking to integrate speech-to-text transcription via the API. After integrating the API you can access a full suite of features such as core transcription, speaker labels, sentiment analysis, and more.
Build AI applications with voice data
Access our superhuman AI models for speech recognition, automatic transcription, speech summarization, and more through our secure and scalable API.
We’re building superhuman systems for transcribing and understanding human speech
Our latest AI model for speech recognition (Conformer-2) achieves state-of-the-art accuracy on a wide variety of academic and real-world datasets compared to other ASR models, and makes up to 43% fewer errors on noisy data.
More than just a model
Designed for real-world applications, our API includes critical features that help you understand human speech, including speaker labels, word-level timestamps, profanity filtering, custom vocabulary, and dozens more features.
Build smarter apps
Summarize, diarize, detect sentiment, moderate content, redact PII, and more with our set of Audio Intelligence models. Or leverage LeMUR, our new framework to build LLM-powered apps on voice data.
Built for enterprise scale
Our API processes terabytes of audio data every day with over 99.9% uptime and success, and is compliant with SOC 2 Type 2.
Build AI-powered features with voice data
- Auto-generate subtitles
- Transcribe audio in real-time
- Summarize calls, podcasts, or virtual meetings
- Identify speakers
- Question & Answer
Try our API with no code
See our AI models in action across transcription, content moderation, sentiment analysis, and more through our API.
Test our LeMUR API by generating a custom summary, answers to questions, or feedback on a long-form audio file.
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