Transcription Accuracy
How accurate are the transcripts?
Riverside.fm advertises very high accuracy—marketing copy cites figures near 99% in many languages when audio is clean. Its studio environment (multi-track/local recordings) helps accuracy by reducing network and codec artifacts: each participant can be recorded locally which lowers cross-talk and improves automatic speech recognition performance. Riverside’s pipeline also produces segment-based timestamps suitable for SRT exports and video workflows.
SozAI focuses on robust transcription for everyday creators and teams. While SozAI doesn’t publish a single accuracy percentage, it delivers industry-competitive results across 100+ languages and adds features that improve final output quality for editors—word-level timestamps, speaker diarization for up to 10 speakers, and a custom vocabulary option on Premium. If your audio is mixed to a single track, SozAI’s diarization and word-level timestamps help recover structure and make editing and quoting easier.
Bottom line: Riverside gains an edge on accuracy when you can use local multi-track recording. SozAI is a strong, cost-effective choice when you primarily need transcription accuracy plus flexible exports and speaker labels without a studio setup.