Answers.Body: <p><a href="http://ffmpeg.org/download.html">ffmpeg</a>, a free multi-platform command-line tool, can do this. </p>
  
  <p>Use the volumedetect and EBUR filters on each of the files</p>
  
  <pre><code>ffmpeg -i input.mov -af volumedetect,ebur128 -f null - 2&gt; input.log
  </code></pre>
  
  <p>This will produce a log file with the initial lines looking like this:</p>
  
  <pre><code>[Parsed_ebur128_1 @ 0000000002d42400] t: 12.7       M: -32.7 S: -32.7     I: -30.7 LUFS     LRA:   3.1 LU
  [Parsed_ebur128_1 @ 0000000002d42400] t: 12.8       M: -33.2 S: -32.7     I: -30.8 LUFS     LRA:   3.1 LU
  [Parsed_ebur128_1 @ 0000000002d42400] t: 12.9       M: -33.2 S: -32.7     I: -30.8 LUFS     LRA:   3.1 LU
  [Parsed_ebur128_1 @ 0000000002d42400] t: 13         M: -34.3 S: -32.9     I: -30.8 LUFS     LRA:   3.1 LU
  [Parsed_ebur128_1 @ 0000000002d42400] t: 13.1       M: -34.3 S: -32.9     I: -30.9 LUFS     LRA:   3.1 LU
  </code></pre>
  
  <p>and the final lines:</p>
  
  <pre><code>[Parsed_volumedetect_0 @ 00000000005db400] n_samples: 18700288
  [Parsed_volumedetect_0 @ 00000000005db400] mean_volume: -31.5 dB
  [Parsed_volumedetect_0 @ 00000000005db400] max_volume: -5.3 dB
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_5db: 22
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_6db: 32
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_7db: 250
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_8db: 470
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_9db: 816
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_10db: 936
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_11db: 1796
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_12db: 2632
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_13db: 4516
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_14db: 6028
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_15db: 8846
  [Parsed_ebur128_1 @ 0000000002d42400] Summary:
  
    Integrated loudness:
      I:         -28.6 LUFS
      Threshold: -38.9 LUFS
  
    Loudness range:
      LRA:         9.0 LU
      Threshold: -49.0 LUFS
      LRA low:   -33.6 LUFS
      LRA high:  -24.6 LUFS
  </code></pre>
  
  <p>The <code>mean_volume</code> is the RMS value.</p>
  
  <p>(Download the latest nightly/snapshot binary for your platform)</p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2016-02-17T04:29:04.137Z
Answers.LastActivityDate: 2016-02-17T09:51:58.617Z
Answers.LastEditDate: 2016-02-17T09:51:58.617Z
Answers.UserDisplayName: Gyan
Body: <p>Is there an app for OSX that lets you quickly analyze the loudness of a bunch of video files, shows you the peak and RMS loudness of each file in dBFS (I think dBTP and LUFS would be too much to ask for) and maybe even outputs everything into a log file? It should preferably be free, or cost only a few bucks.</p>
  
  <p>No special format support needed. It's all just basic QuickTime compatible stuff.</p>
  
Tags: <audio><software-recommendation><mac><workflow>
Title: App to quickly analyze audio loudness of several video files?
UserDisplayName: eppic
ThreadText: # App to quickly analyze audio loudness of several video files?
  
  (Asked by: username_0 on 2016-02-16)
  
  Is there an app for OSX that lets you quickly analyze the loudness of a bunch of video files, shows you the peak and RMS loudness of each file in dBFS (I think dBTP and LUFS would be too much to ask for) and maybe even outputs everything into a log file? It should preferably be free, or cost only a few bucks.
  
  No special format support needed. It's all just basic QuickTime compatible stuff.
  
  **Tags:** audio, software-recommendation, mac, workflow
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2016-02-17. Score: 6 | Accepted answer
  
  [ffmpeg](http://ffmpeg.org/download.html), a free multi-platform command-line tool, can do this.
  
  Use the volumedetect and EBUR filters on each of the files
  
  ```
  ffmpeg -i input.mov -af volumedetect,ebur128 -f null - 2> input.log
  
  ```
  
  This will produce a log file with the initial lines looking like this:
  
  ```
  [Parsed_ebur128_1 @ 0000000002d42400] t: 12.7       M: -32.7 S: -32.7     I: -30.7 LUFS     LRA:   3.1 LU
  [Parsed_ebur128_1 @ 0000000002d42400] t: 12.8       M: -33.2 S: -32.7     I: -30.8 LUFS     LRA:   3.1 LU
  [Parsed_ebur128_1 @ 0000000002d42400] t: 12.9       M: -33.2 S: -32.7     I: -30.8 LUFS     LRA:   3.1 LU
  [Parsed_ebur128_1 @ 0000000002d42400] t: 13         M: -34.3 S: -32.9     I: -30.8 LUFS     LRA:   3.1 LU
  [Parsed_ebur128_1 @ 0000000002d42400] t: 13.1       M: -34.3 S: -32.9     I: -30.9 LUFS     LRA:   3.1 LU
  
  ```
  
  and the final lines:
  
  ```
  [Parsed_volumedetect_0 @ 00000000005db400] n_samples: 18700288
  [Parsed_volumedetect_0 @ 00000000005db400] mean_volume: -31.5 dB
  [Parsed_volumedetect_0 @ 00000000005db400] max_volume: -5.3 dB
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_5db: 22
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_6db: 32
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_7db: 250
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_8db: 470
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_9db: 816
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_10db: 936
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_11db: 1796
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_12db: 2632
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_13db: 4516
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_14db: 6028
  [Parsed_volumedetect_0 @ 00000000005db400] histogram_15db: 8846
  [Parsed_ebur128_1 @ 0000000002d42400] Summary:
  
    Integrated loudness:
      I:         -28.6 LUFS
      Threshold: -38.9 LUFS
  
    Loudness range:
      LRA:         9.0 LU
      Threshold: -49.0 LUFS
      LRA low:   -33.6 LUFS
      LRA high:  -24.6 LUFS
  
  ```
  
  The `mean_volume` is the RMS value.
  
  (Download the latest nightly/snapshot binary for your platform)
  
  
  ---
  
  