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48
avg
float64
3.59
12.4
RTFx
float64
72.5
12.9k
โŒ€
License
stringclasses
9 values
Size (B)
float64
0.02
24
โŒ€
# Languages
float64
1
1.68k
โŒ€
Encoder
stringlengths
6
32
โŒ€
Decoder
stringlengths
3
56
โŒ€
Training data disclosure
stringlengths
44
85
โŒ€
AMI-Cleaned WER
float64
6.08
18.8
Earnings22-Cleaned-AA-chunked WER
float64
4.12
24.5
Gigaspeech-Cleaned WER
float64
6.14
14.1
LS Clean WER
float64
0.87
4.51
LS Other WER
float64
1.77
11.6
SPGISpeech WER
float64
1.36
6.88
Voice Arena Monsoon WER
float64
3
15.6
Voxpopuli-AA-Cleaned WER
float64
1.41
8.11
AMI-Cleaned RTFx
float64
57.1
10.4k
โŒ€
Earnings22-Cleaned-AA-chunked RTFx
float64
32.8
10k
โŒ€
Gigaspeech-Cleaned RTFx
float64
61.2
13.4k
โŒ€
LS Clean RTFx
float64
60.4
9.78k
โŒ€
LS Other RTFx
float64
60.4
9.8k
โŒ€
SPGISpeech RTFx
float64
85.5
14.2k
โŒ€
Voice Arena Monsoon RTFx
float64
43
11.4k
โŒ€
Voxpopuli-AA-Cleaned RTFx
float64
60.6
6.6k
โŒ€
AMI WER
float64
7.64
22.1
โŒ€
Earnings22 WER
float64
7.52
19.8
โŒ€
Gigaspeech WER
float64
6.75
14.2
โŒ€
Voxpopuli WER
float64
5.07
13
โŒ€
abr-ai/niagara-19m-batch.en
10.97875
3,717.39
applied-brain-research-open-license
0.02
null
null
null
https://huggingface.co/abr-ai/niagara-19m-batch.en#datasets
16.83
16.34
14.13
4.51
11
3.86
15.23
5.93
3,535.6302
2,993.1369
3,775.4481
3,375.661
3,420.3965
3,823.7411
3,106.0345
3,185.9269
18.28
13.18
14.21
9.82
abr-ai/niagara-38m-batch.en
8.7375
4,014.67
applied-brain-research-open-license
0.038
null
null
null
https://huggingface.co/abr-ai/niagara-38m-batch.en#datasets
13.87
12.94
11.38
3.81
9.28
3.08
10.38
5.16
3,842.7387
3,210.0259
4,039.8868
3,659.3447
3,704.1625
4,158.497
3,372.0219
3,448.9518
15.46
11.83
11.41
8.67
assemblyai/universal-3-5-pro
4.34125
null
Proprietary
null
18
null
null
null
10.63
6.05
7.62
1.1
2.11
1.81
3.49
1.92
null
null
null
null
null
null
null
null
null
10.02
null
null
AutoArk-AI/ARK-ASR-0.6B
4.55875
663.48
apache-2.0
1.15
19
Whisper
Qwen2
null
8.61
6.75
7.37
1.48
3.44
2.63
3.43
2.76
557.2654
487.3552
585.1888
635.0105
585.1775
736.794
491.1901
664.1448
9.81
9.69
7.42
6.29
AutoArk-AI/ARK-ASR-3B
4.475
481.49
apache-2.0
3.75
19
Whisper
Qwen2
null
7.89
8.07
6.94
1.04
2.37
2.46
3.48
3.55
438.838
286.4821
404.9215
497.0831
431.6811
540.5476
378.2673
451.1588
8.79
8.23
6.98
5.47
AutoArk-AI/Audio8-ASR-0.1B
6.9525
719.23
apache-2.0
0.324
7
Qwen3-ASR audio encoder
8-layer Qwen-style causal LM
null
11
12.53
8.48
2.71
6.6
3.73
6.18
4.39
369.8243
1,251.4838
613.4984
680.0064
588.8413
832.7355
816.7362
709.2239
null
12.31
null
null
bosonai/higgs-audio-v3-8b-stt-v2
5.0425
136.69
apache-2.0
8.91
1
Whisper
Qwen3
null
8.37
11.73
7.09
0.96
2.06
3.23
3.96
2.94
115.7947
36.7995
141.3845
174.1754
161.2374
146.2596
82.8135
198.7486
9.35
8.45
7.13
5.62
bosonai/higgs-audio-v3-stt
4.3925
111.23
apache-2.0
2.68
1
Whisper
Qwen3
https://huggingface.co/bosonai/higgs-audio-v3-stt#update-june-2026
7.19
7.04
7.45
1.08
2.61
2.07
3.97
3.73
62.9195
41.2926
98.8176
119.4723
109.6085
131.1278
78.6919
164.9524
7.86
8.26
7.49
5.93
CohereLabs/cohere-transcribe-03-2026
4.67
906.56
apache-2.0
2
14
Conformer-based
Transformer
null
7.02
7.88
7.88
0.97
2.05
2.74
3.44
5.38
822.6616
613.2278
895.0905
733.4036
629.9073
973.8289
757.8546
905.588
7.8
10.38
7.93
5.58
distil-whisper/distil-large-v3.5
5.4
879.27
mit
0.8
1
Whisper
Transformer
https://huggingface.co/distil-whisper/distil-large-v3.5#training-data
12.09
7.7
8.21
1.94
4.52
2.62
3.6
2.52
438.7516
1,903.4199
764.2933
770.9119
732.7365
1,027.3924
1,063.2834
1,082.5651
13.36
10.83
8.26
7.69
elevenlabs/scribe_v2
3.96875
null
Proprietary
null
90
null
null
null
8.19
4.8
7.63
1.06
2.33
3.01
3.32
1.41
null
null
null
null
null
null
null
null
null
8.9
null
null
espnet/owsm_ctc_v4_1B
6.28125
776.71
cc-by-4.0
1
75
Whisper
CTC
https://huggingface.co/espnet/owsm_ctc_v4_1B
11.1
10.31
9.29
2.11
4.38
2.31
6.66
4.09
395.5046
1,896.8113
658.0533
720.0546
626.0932
892.3561
943.676
1,157.0684
12.58
13.37
9.37
7.12
facebook/omniASR-CTC-7B-v2
9.06625
519.3
apache-2.0
6.5
1,676
Self-supervised
CTC
null
17.44
18.3
12.95
2.12
5.05
5.16
7.08
4.43
525.8259
346.6539
537.2633
477.8514
465.6748
538.5894
362.3803
435.5644
22.1
16.02
13.36
7.82
facebook/omniASR-LLM-7B-v2
6.4025
128.77
apache-2.0
7.8
1,676
Self-supervised
Transformer
null
13.86
11.44
9.2
1.35
3.25
3.22
4.87
4.03
115.5444
32.7737
127.051
122.6174
107.9196
162.5496
43.001
78.7942
19.45
13.15
9.5
6.39
gladia/solaria-3
4.57375
null
Proprietary
null
5
null
null
null
9.89
5.94
7.32
1.31
2.99
2.68
3.7
2.76
null
null
null
null
null
null
null
null
null
10.47
null
null
HojoAI/Hojo-ASR-V1
4.33375
72.51
apache-2.0
5.18
2
Qwen3-Omni encoder
Qwen3-4B
null
7.54
6.97
6.14
1.3
3.24
1.74
4.63
3.11
58.6041
35.6628
61.1986
60.3518
60.3696
85.4642
51.8206
60.6313
null
8.15
null
null
ibm-granite/granite-4.0-1b-speech
5.095
666.16
apache-2.0
2
6
Conformer-based
Granite
null
7.38
8.53
8.44
1.11
2.5
3.55
4.84
4.41
596.8142
238.7979
629.272
691.5043
584.542
746.7746
514.6782
317.2941
8.12
8.33
8.51
5.51
ibm-granite/granite-speech-3.3-2b
5.3575
509.35
apache-2.0
3
5
Conformer-based
Granite
null
7.8
9.13
9.03
1.21
2.85
3.5
4.82
4.52
448.1404
266.8944
427.389
500.2854
455.0681
574.5132
463.3099
410.437
8.53
9.73
9.1
5.64
ibm-granite/granite-speech-3.3-8b
5.2625
262.79
apache-2.0
9
5
Conformer-based
Granite
null
7.7
9.7
8.58
1.11
2.52
3.54
4.41
4.54
213.1281
170.76
259.7693
274.4335
244.1629
273.633
241.734
263.5889
8.43
9.07
8.65
5.44
ibm-granite/granite-speech-4.1-2b
4.615
545.64
apache-2.0
2
6
Conformer-based
Granite
null
7.06
6.69
8.18
1.03
2.19
3.47
4.12
4.18
449.6111
240.3086
557.9779
569.9138
475.8762
580.6861
454.555
363.4448
7.72
8.23
8.23
5.4
ibm-granite/granite-speech-4.1-2b-nar
4.675
2,073.53
apache-2.0
2
5
Conformer-based
Hybrid CTC-LLM
https://huggingface.co/ibm-granite/granite-speech-4.1-2b-nar#training-data
6.96
6.67
8.61
1.04
2.4
3.23
4.24
4.25
1,656.8735
1,842.5365
2,046.1632
1,614.1955
1,586.5596
2,241.0215
1,793.3511
1,530.7298
7.64
8.15
8.67
5.63
ibm-granite/granite-speech-5.0-470m-turboctc
5.04375
12,945.54
apache-2.0
0.47
null
Streaming-style Conformer
CTC
https://huggingface.co/ibm-granite/granite-speech-5.0-470m-turboctc#training-data
7.72
6.81
8.74
1.48
2.73
3.23
4.76
4.88
10,375.8707
9,659.8986
13,427.9929
9,776.1864
9,753.016
14,198.4519
11,412.8416
6,598.9383
null
null
null
null
ibm-granite/granite-speech-5.0-470m-turboctc-nc
4.77875
12,761.85
cc-by-nc-sa-4.0
0.47
null
Streaming-style Conformer
CTC
https://huggingface.co/ibm-granite/granite-speech-5.0-470m-turboctc-nc#training-data
7.13
8.12
8.3
1.38
2.61
1.74
4.3
4.65
10,163.8867
10,031.4482
13,285.0409
9,706.3223
9,796.0609
13,817.8201
10,364.4395
6,602.5612
null
null
null
null
kyutai/stt-2.6b-en
5.56625
133.05
cc-by-4.0
2.6
null
Mimi tokenizer
Transformer
https://huggingface.co/kyutai/stt-2.6b-en#training-data
10.52
8.89
8.22
1.38
3.99
1.87
6.13
3.53
90.1151
132.478
121.0964
117.9424
106.2547
148.176
115.633
130.1977
11.57
10.64
8.28
6.45
microsoft/azure-speech-06-2026
4.25875
null
Proprietary
null
25
null
LLM
null
6.95
5.59
7.26
1.19
2.5
2.31
4.4
3.87
null
null
null
null
null
null
null
null
7.93
7.52
7.34
5.07
microsoft/Phi-4-multimodal-instruct
5.02125
162.53
mit
6
8
Conformer-based
Phi-4-Mini-Instruct
null
9.12
7.09
7.79
1.35
3.45
2.73
4.46
4.18
191.233
143.167
165.9351
180.594
174.9432
159.235
151.522
154.5581
10.69
9.35
7.91
5.77
microsoft/VibeVoice-ASR-HF
5.575
218.57
mit
8
50
Custom
Qwen2
null
12.02
7.97
7.87
1.56
4.95
3.47
4.74
2.02
128.9676
139.1989
203.851
208.4257
185.7159
251.1792
159.0294
174.8652
15.48
12.15
8.05
7.9
mistralai/Voxtral-Mini-3B-2507
5.53875
180.93
apache-2.0
5
8
Whisper
Ministral 3B
null
13.57
7.66
8.7
1.48
3.63
2.15
4.9
2.22
114.4679
254.4092
154.85
199.882
170.1961
199.4953
181.5761
241.5294
15.04
10.36
8.75
6.77
mistralai/Voxtral-Mini-4B-Realtime-2602
6.4625
102.62
apache-2.0
4
13
Custom
Transformer
null
13.34
9.31
8.8
1.62
4.94
2.23
8.86
2.6
98.1185
59.9644
107.4085
88.1035
94.4707
109.1226
63.5382
68.6242
15.91
11.46
8.86
8
mistralai/Voxtral-Small-24B-2507
4.99375
101.26
apache-2.0
24
8
Whisper
Ministral 24B
null
13.19
7.07
8.33
1.23
2.8
1.84
3.49
2
57.1411
162.3939
84.155
101.7381
90.3171
115.2163
115.6413
126.6225
14.32
10.16
8.37
6.6
modulate/multilingual
3.84125
null
Proprietary
null
99
null
null
null
6.31
6
6.91
0.87
1.77
2.06
3.26
3.55
null
null
null
null
null
null
null
null
null
null
null
null
nvidia/canary-180m-flash
5.54125
2,489.29
cc-by-4.0
0.18
4
Conformer-based
Transformer
https://huggingface.co/nvidia/canary-180m-flash#training-dataset
12.09
8.33
8.87
1.52
3.42
2.04
4.49
3.57
2,116.7185
1,384.9031
2,205.7585
1,965.8571
1,954.5514
2,807.4277
2,807.5993
1,368.805
13.66
12.5
8.96
6.11
nvidia/canary-1b
5.0275
766.76
cc-by-nc-4.0
1
4
Conformer-based
Transformer
https://huggingface.co/nvidia/canary-1b#datasets
10.87
7.23
8.47
1.16
2.54
1.86
4.08
4.01
719.7384
426.1641
702.5113
666.1913
596.2147
834.0995
928.6417
443.3701
12.42
11.63
8.55
5.52
nvidia/canary-1b-flash
4.87625
2,128.68
cc-by-4.0
1
4
Conformer-based
Transformer
https://huggingface.co/nvidia/canary-1b-flash#training-dataset
10.58
6.79
8.19
1.2
2.52
1.75
3.81
4.17
1,660.333
1,124.1374
1,975.9583
1,757.2051
1,753.4156
2,375.2094
2,271.861
1,123.9817
12.11
12.03
8.26
5.38
nvidia/canary-1b-v2
5.70625
1,825.15
cc-by-4.0
1
25
Conformer-based
Transformer
https://huggingface.co/nvidia/canary-1b-v2#training-dataset
13.03
7.28
9.12
1.76
3.07
2.03
4.97
4.39
1,509.4463
1,019.3632
1,562.1634
1,465.2507
1,431.0227
2,096.5107
1,987.6905
1,036.7467
14.71
11.35
9.2
5.93
nvidia/canary-qwen-2.5b
4.4275
867.09
cc-by-4.0
2.5
null
Conformer-based
Qwen2
https://huggingface.co/nvidia/canary-qwen-2.5b#training-dataset
7.91
6.41
7.8
1.23
2.63
1.7
3.6
4.14
690.032
496.2438
724.6635
678.3482
621.2119
1,024.3713
923.2239
467.4358
9.05
10.04
7.88
5.38
nvidia/nemotron-3.5-asr-streaming-0.6b
7.87625
1,471.92
OpenMDW-1.1
0.64
40
FastConformer (cache-aware)
RNNT
https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b#training-datasets
13.43
15.28
9.86
2.83
6.79
3.27
7.31
4.24
1,332.1564
1,050.7798
1,514.2731
1,498.8672
1,333.3675
1,521.8089
1,112.1019
1,235.4662
null
14.95
null
null
nvidia/nemotron-speech-streaming-en-0.6b
5.2475
1,060.27
nvidia-open-model-license
0.62
null
FastConformer (cache-aware)
RNNT
https://huggingface.co/nvidia/nemotron-speech-streaming-en-0.6b#training-datasets
8.84
9.46
7.9
1.89
4.35
2.69
4.45
2.4
822.2816
985.1944
1,562.0952
960.871
953.4696
1,006.6021
717.9644
1,277.9458
null
12.02
null
null
nvidia/parakeet-ctc-0.6b
6.155
5,870.23
cc-by-4.0
0.6
null
Conformer-based
CTC
https://huggingface.co/nvidia/parakeet-ctc-0.6b#datasets
13.09
10.27
8.9
1.57
3.42
3.47
5.33
3.19
4,743.3594
3,259.8326
5,850.1412
5,012.1999
4,426.3205
6,420.9442
5,490.4957
2,942.0213
15.56
13.47
9.03
6.77
nvidia/parakeet-ctc-1.1b
5.9225
5,022.76
cc-by-4.0
1.1
null
Conformer-based
CTC
https://huggingface.co/nvidia/parakeet-ctc-1.1b#datasets
12.23
9.66
8.74
1.52
3.23
3.53
5.23
3.24
3,584.1137
2,641.2178
4,911.2263
3,597.9725
3,556.4743
5,783.3994
4,455.6263
2,287.916
14.76
12.98
8.88
6.29
nvidia/parakeet-rnnt-0.6b
6.1875
5,431.14
cc-by-4.0
0.6
null
Conformer-based
TDT / RNN-T
https://huggingface.co/nvidia/parakeet-rnnt-0.6b#datasets
14.34
11.17
8.45
1.25
2.65
2.88
5.35
3.41
3,514.282
2,706.6343
5,266.5416
4,089.2843
3,868.247
6,310.6646
4,922.0602
2,671.3585
16.47
13.58
8.55
5.78
nvidia/parakeet-rnnt-1.1b
5.76125
4,138.81
cc-by-4.0
1.1
null
Conformer-based
TDT / RNN-T
https://huggingface.co/nvidia/parakeet-rnnt-1.1b#datasets
14.02
9.62
8.22
1.15
2.12
2.56
4.76
3.64
2,684.7149
2,276.6551
4,064.483
3,019.4254
3,047.2605
4,752.1069
3,766.1872
2,111.1441
15.96
12.94
8.31
5.12
nvidia/parakeet-tdt_ctc-110m
6.14625
6,083.62
cc-by-4.0
0.11
null
Conformer-based
CTC, TDT / RNN-T
https://huggingface.co/nvidia/parakeet-tdt_ctc-110m#datasets
12.69
9.31
8.83
2.01
4.72
2.26
5.63
3.72
4,380.5867
3,459.4438
5,311.6152
5,179.5644
4,813.0889
7,139.913
4,846.8733
3,624.9039
14.7
12.02
8.93
6.63
nvidia/parakeet-tdt-0.6b-v2
4.7025
6,024.67
cc-by-4.0
0.6
null
Conformer-based
TDT / RNN-T
https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2#training-dataset
9.09
6.76
8.15
1.28
2.73
1.94
3.89
3.78
4,086.9413
3,087.4312
6,201.1373
4,474.0834
4,238.3967
6,835.1789
5,032.5815
2,982.248
10.4
10.78
8.23
5.68
nvidia/parakeet-tdt-0.6b-v3
4.85875
6,076.07
cc-by-4.0
0.6
26
Conformer-based
TDT / RNN-T
https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3#training-dataset
9.42
5.85
7.99
1.52
3.13
3.63
4.14
3.19
3,757.2741
3,012.6016
5,682.6812
4,218.0414
4,353.5694
7,343.977
4,959.3687
2,878.2095
10.58
10.77
8.07
5.89
openai/whisper-large-v3
5.78
470.2
apache-2.0
2
99
Whisper
Transformer
https://huggingface.co/openai/whisper-large-v3#training-data
13.63
7.99
8.35
1.56
3.52
2.71
3.95
4.53
284.2469
685.0505
377.1858
485.126
430.9607
538.947
506.0687
609.2825
14.86
11.59
8.4
8.7
openai/whisper-large-v3-turbo
6.36
791.52
mit
0.8
99
Whisper
Transformer
null
13.88
8.09
8.47
2.13
3.71
2.79
4.79
7.02
365.312
961.3781
635.3787
577.9653
646.8641
984.664
986.3498
821.3771
15.16
11.07
8.52
11.22
OpenMOSS-Team/MOSS-Transcribe-Diarize
4.63625
381.16
apache-2.0
0.91
50
Whisper audio encoder, 24 layers
Qwen3, 28 layers
null
8.33
6.09
7.68
1.66
4.16
1.7
3.87
3.6
196.8552
218.1198
257.385
296.6874
264.0525
568.9232
311.7196
187.639
null
9.02
null
null
OpenMOSS-Team/MOSS-Transcribe-preview-2B
4.86
150.77
apache-2.0
2.42
null
Qwen3-Omni-MoE audio encoder
Qwen3
https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-preview-2B#training
7.8
8.37
6.69
1.15
2.81
1.61
5.57
4.88
167.4546
132.5096
140.0029
143.9983
96.6654
160.0526
139.4408
156.0836
8.48
7.72
6.75
5.46
Qwen/Qwen3-ASR-0.6B-hf
5.045
743.96
apache-2.0
0.78
52
Custom
Qwen3
null
9.33
7.83
7.62
1.7
4.01
2.74
4.23
2.9
338.1007
494.1682
805.6876
723.1457
653.1892
838.6944
658.491
388.3293
null
10.78
null
null
Qwen/Qwen3-ASR-1.7B-hf
4.31125
819.96
apache-2.0
2.04
52
Custom
Qwen3
null
8.31
5.84
7.22
1.26
2.94
2.57
3.5
2.85
709.9597
446.0806
752.4185
664.199
616.5048
941.0222
625.9647
398.2531
null
9.73
null
null
reson8/resonant-1
4.01125
null
Proprietary
null
9
null
null
null
8.22
5.48
7.38
0.92
2.09
2.77
3.04
2.19
null
null
null
null
null
null
null
null
9.63
8.79
7.44
6.04
reson8/resonant-1-flash
4.02375
null
Proprietary
null
9
null
null
null
8.21
5.48
7.38
0.95
2.14
2.8
3.04
2.19
null
null
null
null
null
null
null
null
9.54
8.96
7.47
5.9
smallestai/pulse
4.41375
null
Proprietary
null
38
null
null
null
9.11
4.74
8.18
1.3
2.7
1.91
3.52
3.85
null
null
null
null
null
null
null
null
10.42
10.86
8.26
5.65
soundsgoodai/Zipformer-cr-ctc-transducer-XL-290M
5.29375
158.3
cc-by-nc-4.0
0.29
null
Zipformer
Pruned Stateless Transducer with k2 modified_beam_search
https://huggingface.co/soundsgoodai/Zipformer-cr-ctc-transducer-XL-290M#training-data
10.28
7.92
8.32
1.31
3.01
1.64
5.58
4.29
161.1121
126.2038
161.6567
144.2864
160.7715
160.4027
134.4751
140.511
null
7.64
null
null
soundsgoodai/Zipformer-transducer-XL-290M
6.34875
141.07
cc-by-nc-4.0
0.29
null
Zipformer
RNN-T
https://huggingface.co/soundsgoodai/Zipformer-transducer-XL-290M#training-data
12.8
8.99
9.21
1.68
4.56
1.91
7.56
4.08
141.2063
126.2559
141.4032
140.2039
160.3717
140.6221
140.0454
133.4817
13.96
9.02
9.31
6.56
speechmatics/enhanced
5.25375
null
Proprietary
null
55
null
null
null
9.99
7.92
7.85
1.75
4.28
2.81
4.6
2.83
null
null
null
null
null
null
null
null
13.31
11.86
7.98
6.64
usefulsensors/moonshine-streaming-tiny
12.3575
4,444.74
mit
0.03
null
Custom
Transformer
https://huggingface.co/moonshine-ai/moonshine-streaming-tiny#training-data
16.95
24.49
12.46
3.98
11.55
5.71
15.61
8.11
2,835.4837
2,017.0085
5,055.0808
2,049.9119
2,106.2963
5,972.5382
2,608.5002
1,003.3481
17.95
19.52
12.53
12.97
usefulsensors/moonshine-tiny
11.775
3,839.5
mit
0.03
null
Custom
Transformer
https://huggingface.co/moonshine-ai/moonshine-tiny#training-data
18.82
21.17
12.6
4.08
11.07
6.88
13.06
6.52
2,443.6912
1,813.3327
4,797.0131
1,768.9357
1,677.5425
5,099.1644
2,230.6428
780.5523
20.42
19.75
12.72
12.84
zai-org/GLM-ASR-Nano-2512
5.3125
334.38
mit
2
17
Whisper
Llama
null
13.95
7.29
8.02
1.7
3.83
1.86
3.8
2.05
133.5792
410.0759
280.3403
330.8101
304.8534
410.5291
341.0538
402.2831
15.85
10.68
8.23
7.17
zoom/scribe_v1
4.15
null
Proprietary
null
1
null
null
null
6.94
6.07
7.87
1.08
2.09
1.43
3.77
3.95
null
null
null
null
null
null
null
null
8.9
9.17
8.04
5.08
zoom/scribe_v2_pro
3.5925
null
Proprietary
null
11
null
null
null
6.08
4.12
7.75
1.11
2.24
1.36
3
3.08
null
null
null
null
null
null
null
null
null
null
null
null

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