AI Meeting Transcription in 2025: What Actually Delivers
AI meeting transcription has become a core tool for teams, especially with remote and hybrid work driving demand for accurate, real-time notes. The article argues that many apps market AI features, but the real differences come down to three factors: transcription accuracy, speaker diarization, and real-time capability. It notes that general-purpose speech engines perform well on clean audio but can struggle with specialized jargon, while custom-tuned open-source models can improve accuracy for specific teams. The piece also points out that on-premises deployment may be essential for regulated industries concerned with data privacy. It includes code examples to help developers build or integrate transcription into their own workflows.
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