description AssemblyAI (API) Overview
This entry reiterates the API strength of AssemblyAI, focusing specifically on its developer utility for building complex, data-rich applications. It is ideal for developers who need to build a product that analyzes *more* than just textsuch as sentiment analysis or speaker segmentationdirectly from the transcription output. It requires coding but offers unmatched analytical depth.
help AssemblyAI (API) FAQ
Can AssemblyAI identify different speakers in a meeting?
Yes. Its speaker-diarization feature separates a recording into speaker-labelled segments, which is useful for interviews, calls, and podcasts. Speaker Identification can also map generic labels to supplied names or roles in supported workflows.
Does AssemblyAI analyze sentiment as well as transcribe speech?
Yes. Sentiment Analysis can label individual spoken sentences, while other Audio Intelligence features cover topics, chapters, entities, and PII redaction. These features return structured data alongside the transcript rather than merely producing plain text.
Does AssemblyAI support live transcription?
AssemblyAI provides a streaming WebSocket API as well as the asynchronous `/v2/transcript` endpoint for prerecorded files. Streaming is the appropriate choice for voice agents or live captions, while asynchronous transcription suits uploaded calls and videos.
How is AssemblyAI API usage billed?
Prerecorded transcription is billed according to audio duration and the models or optional analysis features enabled. AssemblyAI also offers free introductory credits, but requests stop working if the account has insufficient balance.
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