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AssemblyAI: artificial intelligence features and setup
An API platform for transcription and speech understanding. It lets you build workflows that start with an audio file or stream and produce text and context that can be processed by a system.
Tool by the Otomatzia editorial team · source content checked on
Overview
A transcript is sometimes used as source material for summaries, search, and quality review, so a speech recognition error can recur in every subsequent step. In AssemblyAI, evaluate the text itself first, then the analysis capabilities. If a summary needs to attribute a commitment to a specific representative, also check speaker separation rather than relying only on whether the sentence was recognized correctly.
Features
- Transcription of recorded audio
- Real-time transcription interface
- Speech understanding capabilities for analysis workflows
Business uses
- Converting support recordings into searchable text
- Feeding transcripts into a summarization and quality review step
Getting started
- Choose representative recordings and test transcription in the mode that fits your use case.
- Run a recording with two speakers, names, and order numbers. Separately flag text errors and speaker attribution errors before evaluating the conversation summary.
- Explicitly choose recorded or real-time processing, and compare its language and feature list with the audio sample used by your product.
What to check
- Check the language and feature list for each model, especially for real-time Hebrew.
- Compare transcription of numbers and names, and speaker separation when attribution is required.
Sources to check next
Vendor features and prices change. Confirm details on the linked official pages before you rely on them.