What I like most about AssemblyAI is how easily it converts audio into text without requiring much manual effort. The transcription is quite useful, and features like speaker detection and summarization make it easier to work with recorded conversations. I also like that the platform is developer-friendly and provides APIs that can be integrated into applications without making the process too complicated.

It is easy to use, reliable, and for my uses the cost is almost negligible.

As an AI engineer building an insurance claims platform, we needed a way for field adjusters to dictate property damage briefs directly from noisy job sites without manually typing on a mobile device. I really appreciate AssemblyAI's latest Universal-1 model, which is incredibly reliable against background noise like wind and traffic. It accurately captures complex alphanumeric policy codes and specific insurance terminology. The Python SDK and the asynchronous audio processing in our FastAPI backend are very helpful. Their speaker diarization feature is particularly valuable; it separates voices, making transcription of adjuster interviews with homeowners much easier for downstream processing. The PII redaction tool is also crucial for compliance, automatically masking sensitive information from recordings before they reach our database, which keeps our system secure.