The market for AI transcription has changed quickly in 2026. I find the most useful comparison is no longer simply “which app has the highest accuracy?” but how accurate the transcript remains in real-world meetings, and what happens after the words become text.
What I found when comparing them
Notta is already a mature transcription platform, reporting up to 98.86% accuracy, 58 transcription languages, and more than 10 million users worldwide on its main product page. Fireflies.ai takes a broader meeting-automation approach, reporting 99% English accuracy and 95% for other languages, while supporting 100+ languages.
MeetingMinutes approaches the problem differently. Its published specification lists up to 98% accuracy for standard Mandarin, automatic filler/repetition/noise filtering, 20+ Chinese dialects, 52-language real-time transcription, and automatic speaker identification.
That distinction matters because advertised accuracy is not a controlled third-party benchmark. Audio quality, distance from the microphone, overlapping speakers, accents, and background noise can substantially change results. Fireflies itself notes that published percentages should be treated as ceilings rather than guarantees.
Where MeetingMinutes becomes interesting
When I look beyond transcription accuracy, MeetingMinutes has a noticeably different workflow. It combines real-time transcription, offline recording, speaker identification, cloud/device synchronization, AI meeting notes, and document generation in one mobile-oriented workflow.
For example, it can record without an internet connection, automatically identify speakers, and generate structured notes using 50+ templates. It also supports 20+ Chinese dialects, photo-to-audio timestamp linking, keyword markers, long recordings, and import of 9 audio + 13 video formats.
The post-transcription workflow is particularly distinctive: recordings can be transformed into PPT presentations, Excel tables, and mind maps, rather than stopping at a transcript.
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