Less guesswork. Better tools.

Best AI meeting assistants for notes, summaries and follow-up

Quick answer: Use speech-recognition evidence as context, then compare the complete meeting workflow through reviews.

Independent benchmarks. Real-world opinions. A clearer picture of what’s worth your time.

Your next tool. Your call.Transparent rankings. No paid placements.

Model benchmarks

Model leaderboard

Model scores measure a specific task. They do not rank complete SaaS products.

Open interactive source
#ModelAvailable throughMean WER
01
ARK-ASR-3BEdge0
Hugging Face
4.76%
02
MOSS-Transcribe-preview-2BOpenMOSS
Hugging Face
4.87%
03
MOSS-Transcribe-DiarizeOpenMOSS
Hugging Face
5.17%
04
Cohere Transcribe 03-2026Cohere
Cohere API
5.42%
05
ARK-ASR-0.6BEdge0
Hugging Face
5.53%

Open ASR leaderboard · Sep 2026 · Lower is better

Source snapshot

Benchmark charts

Hugging Face & contributors · 2026-09-11

Score

Mean WER

ARK-ASR-3BEdge0
4.76%
MOSS-Transcribe-preview-2BOpenMOSS
4.87%
MOSS-Transcribe-DiarizeOpenMOSS
5.17%
Cohere Transcribe 03-2026Cohere
5.42%
ARK-ASR-0.6BEdge0
5.53%

Gap to leader

Lower is better

ARK-ASR-3BLeader
MOSS-Transcribe-preview-2B0.11 Mean WER
MOSS-Transcribe-Diarize0.41 Mean WER
Cohere Transcribe 03-20260.66 Mean WER
ARK-ASR-0.6B0.77 Mean WER

Model access and apps

Available through

Model scores measure a specific task. They do not rank complete SaaS products.

Products
ARK-ASR-3BEdge0
Hugging Face
MOSS-Transcribe-preview-2BOpenMOSS
Hugging Face
MOSS-Transcribe-DiarizeOpenMOSS
Hugging Face
Cohere Transcribe 03-2026Cohere
Cohere API
ARK-ASR-0.6BEdge0
Hugging Face

See every source

1 sources

Methodology
07LIVE

Open ASR Leaderboard

Transcription accuracy and speed

Word error rateInference speedDataset coverage
Source
Hugging Face & contributors
Checked
2026-09-11
Open live benchmark Methodology

TapToMarket did not run these tools or benchmarks. We organize external evidence and state where it applies.