Left gets fewer words wrong. Lower has the final text ready sooner.
Deepgram Flux English is ahead on time to first text and final-text delay, and Zoom Scribe on the Pipecat Dataset. The Ocular Dataset is too close to call.
Last updated Methodology by Dileep Chagam
Lower is better on every measure. Too close to call means the likely ranges overlap.
Both providers, every model: Deepgram vs Zoom
Zoom Scribe is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux English scores 3.90% and Zoom Scribe 1.97%, so Zoom Scribe makes fewer errors by 1.94 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 4.18% and Zoom Scribe 4.88%, with likely ranges of 3.08 to 5.23% and 4.41 to 5.29%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Zoom Scribe is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux English scores 3.90% and Zoom Scribe 1.97%, so Zoom Scribe makes fewer errors by 1.94 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 4.18% and Zoom Scribe 4.88%, with likely ranges of 3.08 to 5.23% and 4.41 to 5.29%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Deepgram Flux English finishes the transcript 10ms sooner. Deepgram Flux English has the final transcript 108ms after the speaker stops and Zoom Scribe 118ms, at the median. Both are measured on the same 206 streamed turns.
Deepgram Flux English finishes the transcript 10ms sooner, and the two are too close to call on real conversations. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.
Yes, both return partial text before the speaker stops. Deepgram Flux English shows first text after 791ms and Zoom Scribe after 1.67s, at the median, so Deepgram Flux English is 877ms sooner.