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• ffmpeg works at command line but I got this error when I use it in nodejs app :

  15 avril 2023, par Ibrahim Ashour

  This is the code :

  


  import fs from 'fs';
import googleTTS from 'google-tts-api';
import https from 'https';
import { exec } from 'child_process';

async function convertTextToVoice(text, fileName) {
  const outputFile = `./audios/${fileName}.mp3`;

  const words = text.split(' ');
  const chunks = [];
  let chunk = '';

  for (const word of words) {
    if (chunk.length + word.length < 200) {
      chunk += ' ' + word;
    } else {
      chunks.push(chunk.trim());
      chunk = word;
    }
  }

  chunks.push(chunk.trim());

  for (let i = 0; i < chunks.length; i++) {
    const chunkFile = `./audios/${fileName}-chunk${i}.mp3`;
    const url = await googleTTS.getAudioUrl(chunks[i], {
      lang: 'ar',
      slow: false,
      host: 'https://translate.google.com',
    });


    try {
      const file = await fs.createWriteStream(chunkFile);
      https.get(url, response => {
        response.pipe(file);
        file.on('finish', () => {
          file.close();
          console.log(`Chunk ${i} created successfully`);
        });
      }).on('error', error => {
        console.error(`Error downloading chunk ${i}: ${error}`);
      });
    } catch (error) {
      console.error(error);
    }
  }

  const chunkFiles = chunks.map((chunk, i) => `./audios/${fileName}-chunk${i}.mp3`);

  // Use ffmpeg to merge the audio files
  const concatCommand = `ffmpeg -i "concat:${chunkFiles.join('|')}" -acodec copy ${outputFile}`;
  try {
    await new Promise((resolve, reject) => {
      exec(concatCommand, (error, stdout, stderr) => {
        if (error) {
          console.error(`Error executing ffmpeg command: ${error}`);
          reject(error);
        } else {
          console.log(`Audio file ${outputFile} created successfully`);
          resolve();
        }
      });
    });

    for (const chunkFile of chunkFiles) {
      await fs.promises.unlink(chunkFile);
      console.log(`${chunkFile} deleted successfully`);
    }
  } catch (error) {
    console.error(error);
  }
}


  


  This is the Error :
./audios/تجربة-chunk0.mp3|./audios/تجربة-chunk1.mp3
ffmpeg -i "concat :./audios/تجربة-chunk0.mp3|./audios/تجربة-chunk1.mp3" -acodec copy ./audios/تجربة.mp3
Error executing ffmpeg command : Error : Command failed : ffmpeg -i "concat :./audios/تجربة-chunk0.mp3|./audios/تجربة-chunk1.mp3" -acodec copy ./audios/تجربة.mp3
ffmpeg version 2023-02-04-git-bdc76f467f-full_build-www.gyan.dev Copyright (c) 2000-2023 the FFmpeg developers
built with gcc 12.2.0 (Rev10, Built by MSYS2 project)
configuration : —enable-gpl —enable-version3 —enable-static —disable-w32threads —disable-autodetect —enable-fontconfig —enable-iconv —enable-gnutls —enable-libxml2 —enable-gmp —enable-bzlib —enable-lzma —enable-libsnappy —enable-zlib —enable-librist —enable-libsrt —enable-libssh —enable-libzmq —enable-avisynth —enable-libbluray —enable-libcaca —enable-sdl2 —enable-libaribb24 —enable-libdav1d —enable-libdavs2 —enable-libuavs3d —enable-libzvbi —enable-librav1e —enable-libsvtav1 —enable-libwebp —enable-libx264 —enable-libx265 —enable-libxavs2 —enable-libxvid —enable-libaom —enable-libjxl —enable-libopenjpeg —enable-libvpx —enable-mediafoundation —enable-libass —enable-frei0r —enable-libfreetype —enable-libfribidi —enable-liblensfun —enable-libvidstab —enable-libvmaf —enable-libzimg —enable-amf —enable-cuda-llvm —enable-cuvid —enable-ffnvcodec —enable-nvdec —enable-nvenc —enable-d3d11va —enable-dxva2 —enable-libvpl —enable-libshaderc —enable-vulkan —enable-libplacebo —enable-opencl —enable-libcdio —enable-libgme —enable-libmodplug —enable-libopenmpt —enable-libopencore-amrwb —enable-libmp3lame —enable-libshine —enable-libtheora —enable-libtwolame —enable-libvo-amrwbenc —enable-libilbc —enable-libgsm —enable-libopencore-amrnb —enable-libopus —enable-libspeex —enable-libvorbis —enable-ladspa —enable-libbs2b —enable-libflite —enable-libmysofa —enable-librubberband —enable-libsoxr —enable-chromaprint
libavutil 57. 44.100 / 57. 44.100
libavcodec 59. 63.100 / 59. 63.100
libavformat 59. 38.100 / 59. 38.100
libavdevice 59. 8.101 / 59. 8.101
libavfilter 8. 56.100 / 8. 56.100
libswscale 6. 8.112 / 6. 8.112
libswresample 4. 9.100 / 4. 9.100
libpostproc 56. 7.100 / 56. 7.100
[mp3 @ 00000177df48a1c0] Format mp3 detected only with low score of 1, misdetection possible !
[mp3 @ 00000177df48a1c0] Failed to read frame size : Could not seek to 1026.
concat :./audios/تجربة-chunk0.mp3|./audios/تجربة-chunk1.mp3 : Invalid argument

  


  Error : Command failed : ffmpeg -i "concat :./audios/تجربة-chunk0.mp3|./audios/تجربة-chunk1.mp3" -acodec copy ./audios/تجربة.mp3
ffmpeg version 2023-02-04-git-bdc76f467f-full_build-www.gyan.dev Copyright (c) 2000-2023 the FFmpeg developers
built with gcc 12.2.0 (Rev10, Built by MSYS2 project)
configuration : —enable-gpl —enable-version3 —enable-static —disable-w32threads —disable-autodetect —enable-fontconfig —enable-iconv —enable-gnutls —enable-libxml2 —enable-gmp —enable-bzlib —enable-lzma —enable-libsnappy —enable-zlib —enable-librist —enable-libsrt —enable-libssh —enable-libzmq —enable-avisynth —enable-libbluray —enable-libcaca —enable-sdl2 —enable-libaribb24 —enable-libdav1d —enable-libdavs2 —enable-libuavs3d —enable-libzvbi —enable-librav1e —enable-libsvtav1 —enable-libwebp —enable-libx264 —enable-libx265 —enable-libxavs2 —enable-libxvid —enable-libaom —enable-libjxl —enable-libopenjpeg —enable-libvpx —enable-mediafoundation —enable-libass —enable-frei0r —enable-libfreetype —enable-libfribidi —enable-liblensfun —enable-libvidstab —enable-libvmaf —enable-libzimg —enable-amf —enable-cuda-llvm —enable-cuvid —enable-ffnvcodec —enable-nvdec —enable-nvenc —enable-d3d11va —enable-dxva2 —enable-libvpl —enable-libshaderc —enable-vulkan —enable-libplacebo —enable-opencl —enable-libcdio —enable-libgme —enable-libmodplug —enable-libopenmpt —enable-libopencore-amrwb —enable-libmp3lame —enable-libshine —enable-libtheora —enable-libtwolame —enable-libvo-amrwbenc —enable-libilbc —enable-libgsm —enable-libopencore-amrnb —enable-libopus —enable-libspeex —enable-libvorbis —enable-ladspa —enable-libbs2b —enable-libflite —enable-libmysofa —enable-librubberband —enable-libsoxr —enable-chromaprint
libavutil 57. 44.100 / 57. 44.100
libavcodec 59. 63.100 / 59. 63.100
libavformat 59. 38.100 / 59. 38.100
libavdevice 59. 8.101 / 59. 8.101
libavfilter 8. 56.100 / 8. 56.100
libswscale 6. 8.112 / 6. 8.112
libswresample 4. 9.100 / 4. 9.100
libpostproc 56. 7.100 / 56. 7.100
[mp3 @ 00000177df48a1c0] Format mp3 detected only with low score of 1, misdetection possible !
[mp3 @ 00000177df48a1c0] Failed to read frame size : Could not seek to 1026.
concat :./audios/تجربة-chunk0.mp3|./audios/تجربة-chunk1.mp3 : Invalid argument

  


  at ChildProcess.exithandler (node:child_process:419:12)
at ChildProcess.emit (node:events:513:28)
at maybeClose (node:internal/child_process:1091:16)
at ChildProcess._handle.onexit (node:internal/child_process:302:5) {


  


  code : 1,
killed : false,
signal : null,
cmd : 'ffmpeg -i "concat :./audios/تجربة-chunk0.mp3|./audios/تجربة-chunk1.mp3" -acodec copy ./audios/تجربة.mp3'
}
Chunk 1 created successfully
Chunk 0 created successfully

  


  I expected the command to work in the nodejs app like in the command line

  


• pyqt5 gui dependent on ffmpeg compiled with pyinstaller doesn't run on other machines ?

  19 octobre 2022, par Soren

  I am trying to create a simple Pyqt5 GUI for Windows 10 that uses OpenAI's model Whisper to transcribe a sound file and outputting the results in an Excel-file. It works on my own computer where I have installed the necessary dependencies for Whisper as stated on their github i.e. FFMEG. I provide a minimal example of my code below :

  


  # Import library
import whisper
import os
from PyQt5 import QtCore, QtGui, QtWidgets
import pandas as pd
import xlsxwriter


class Ui_Dialog(QtWidgets.QDialog):
    
    
    # Define functions to use in GUI
   
    # Define function for selecting input files
    def browsefiles(self, Dialog):
      
       
       # Make Dialog box and save files into tuple of paths
       files = QtWidgets.QFileDialog().getOpenFileNames(self, "Select soundfiles", os.getcwd(), "lyd(*mp2 *.mp3 *.mp4 *.m4a *wma *wav)")
       
       self.liste = []
       for url in range(len(files[0])):
           self.liste.append(files[0][url])   

    
    def model_load(self, Dialog):
               
        # Load picked model
        self.model = whisper.load_model(r'C:\Users\Søren\Downloads\Whisper_gui\models' + "\\" + self.combo_modelSize.currentText() + ".pt") ##the path is set to where the models are on the other machine
        
    
    def run(self, Dialog):
                
        # Make list for sound files
        liste_df = []
        
        
        # Running loop for interpreting and encoding sound files
        for url in range(len(self.liste)):
                          
            # Make dataframe
            df = pd.DataFrame(columns=["filename", "start", "end", "text"])
            
            # Run model
            result = self.model.transcribe(self.liste[url])
                            
            # Extract results
            for i in range(len(result["segments"])):
                start = result["segments"][i]["start"]
                end = result["segments"][i]["end"]
                text = result["segments"][i]["text"]
                
                df = df.append({"filename": self.liste[url].split("/")[-1],
                            "start": start, 
                            "end": end, 
                            "text": text}, ignore_index=True)
            
            # Add detected language to dataframe
            df["sprog"] = result["language"]
            
            
            liste_df.append(df)
        
        
        
        # Make excel output
        
        # Concatenate list of dfs
        dataframe = pd.concat(liste_df)
        
        
        # Create a Pandas Excel writer using XlsxWriter as the engine.
        writer = pd.ExcelWriter(self.liste[0].split(".")[0] + '_OUTPUT.xlsx', engine='xlsxwriter')
        writer_wrap_format = writer.book.add_format({"text_wrap": True, 'num_format': '@'})


        # Write the dataframe data to XlsxWriter. Turn off the default header and
        # index and skip one row to allow us to insert a user defined header.
        dataframe.to_excel(writer, sheet_name="Output", startrow=1, header=False, index=False)

        # Get the xlsxwriter workbook and worksheet objects.
        #workbook = writer.book
        worksheet = writer.sheets["Output"]

        # Get the dimensions of the dataframe.
        (max_row, max_col) = dataframe.shape

        # Create a list of column headers, to use in add_table().
        column_settings = [{'header': column} for column in dataframe.columns]

        # Add the Excel table structure. Pandas will add the data.
        worksheet.add_table(0, 0, max_row, max_col - 1, {'columns': column_settings})

        # Make the columns wider for clarity.
        worksheet.set_column(0, max_col - 1, 12)
        
        in_col_no = xlsxwriter.utility.xl_col_to_name(dataframe.columns.get_loc("text"))
        
        worksheet.set_column(in_col_no + ":" + in_col_no, 30, writer_wrap_format)

        # Close the Pandas Excel writer and output the Excel file.
        writer.save()
        writer.close()
    
    
    ## Design setup
    
    def setupUi(self, Dialog):
        Dialog.setObjectName("Dialog")
        Dialog.resize(730, 400)
        
        self.select_files = QtWidgets.QPushButton(Dialog)
        self.select_files.setGeometry(QtCore.QRect(40, 62, 81, 31))
        font = QtGui.QFont()
        font.setPointSize(6)
        self.select_files.setFont(font)
        self.select_files.setObjectName("select_files")
        
    
               
        
        self.combo_modelSize = QtWidgets.QComboBox(Dialog)
        self.combo_modelSize.setGeometry(QtCore.QRect(40, 131, 100, 21))
        font = QtGui.QFont()
        font.setPointSize(6)
        self.combo_modelSize.setFont(font)
        self.combo_modelSize.setObjectName("combo_modelSize")
               
        
        self.runButton = QtWidgets.QPushButton(Dialog)
        self.runButton.setGeometry(QtCore.QRect(40, 289, 71, 21))
        font = QtGui.QFont()
        font.setPointSize(6)
        self.runButton.setFont(font)
        self.runButton.setObjectName("runButton")
        
        
       

        self.retranslateUi(Dialog)
        QtCore.QMetaObject.connectSlotsByName(Dialog)
        
        
        
        modelSize_options = ['Chose model', 'tiny', 'base', 'small', 'medium', 'large']
        self.combo_modelSize.addItems(modelSize_options)
        
        # Do an action!
        self.select_files.clicked.connect(self.browsefiles)
        self.combo_modelSize.currentIndexChanged.connect(self.model_load)
        self.runButton.clicked.connect(self.run)
        
        
        
    

    def retranslateUi(self, Dialog):
        _translate = QtCore.QCoreApplication.translate
        Dialog.setWindowTitle(_translate("Dialog", "Dialog"))
        self.runButton.setText(_translate("Dialog", "Go!"))
        self.select_files.setText(_translate("Dialog", "Select"))


if __name__ == "__main__":
    import sys
    app = QtWidgets.QApplication(sys.argv)
    Dialog = QtWidgets.QDialog()
    ui = Ui_Dialog()
    ui.setupUi(Dialog)
    Dialog.show()
    sys.exit(app.exec_())


  


  I compile this app with pyinstaller using the following code. I had some issues to begin with so I found other with similar problems and ended up with this :

  


  pyinstaller --onedir --hidden-import=pytorch --collect-data torch --copy-metadata torch --copy-metadata tqdm --copy-metadata tokenizers --copy-metadata importlib_metadata --hidden-import="sklearn.utils._cython_blas" --hidden-import="sklearn.neighbors.typedefs" --hidden-import="sklearn.neighbors.quad_tree" --hidden-import="sklearn.tree" --hidden-import="sklearn.tree._utils" --copy-metadata regex --copy-metadata requests --copy-metadata packaging --copy-metadata filelock --copy-metadata numpy --add-data "./ffmpeg/*;./ffmpeg/" --hidden-import=whisper --copy-metadata whisper --collect-data whisper minimal_example_whisper.py

  


  When I take the outputtet dist directory and try to run the app on another Windows machine without FFMPEG installed (or Whisper or any other things), I get the following error from the terminal as I push the "run" button in the app (otherwise the app does run).

  


  C:\Users\Søren>"G:\minimal_example_whisper\minimal_example_whisper.exe"
whisper\transcribe.py:70: UserWarning: FP16 is not supported on CPU; using FP32 instead
Traceback (most recent call last):
  File "minimal_example_whisper.py", line 45, in run
  File "whisper\transcribe.py", line 76, in transcribe
  File "whisper\audio.py", line 111, in log_mel_spectrogram
  File "whisper\audio.py", line 42, in load_audio
  File "ffmpeg\_run.py", line 313, in run
  File "ffmpeg\_run.py", line 284, in run_async
  File "subprocess.py", line 951, in __init__
  File "subprocess.py", line 1420, in _execute_child
FileNotFoundError: [WinError 2] Den angivne fil blev ikke fundet


  


  I suspect this has something to do with FFMPEG not being installed on the other machines system ? Does anyone have an automatic solution for this when compiling the app or can it simply only run on machines that has FFMPEG installed ?

  


  Thanks in advance !

  


• Get Timecode from MP4 generated in Adobe Premiere / Encoder in Python and FFMPEG

  3 novembre 2019, par russellaugust

  I’m writing a script that needs to either convert or re-container an MP4 as an MOV with timecode.

  I have an MP4 generated from Adobe Premiere. If I bring that file back into Premiere, I have timecode. I can see it so I know it is there.

  I can’t seem to extract the timecode track from the MP4. I’ve looked everywhere online and found some discussions around it, but no actual success in extracting the timecode.

  I’ve been using ffprobe to see if there’s any mention of the timecode in the MP4, but having no luck. I’ve tried PyMediaInfo with no success.

  Here’s what ffprobe shows :

  ffprobe version 4.2.1 Copyright (c) 2007-2019 the FFmpeg developers
  
    built with Apple clang version 11.0.0 (clang-1100.0.33.8)
  
    configuration: --prefix=/usr/local/Cellar/ffmpeg/4.2.1_1 --enable-shared --enable-pthreads --enable-version3 --enable-avresample --cc=clang --host-cflags='-I/Library/Java/JavaVirtualMachines/adoptopenjdk-13.jdk/Contents/Home/include -I/Library/Java/JavaVirtualMachines/adoptopenjdk-13.jdk/Contents/Home/include/darwin -fno-stack-check' --host-ldflags= --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libbluray --enable-libmp3lame --enable-libopus --enable-librubberband --enable-libsnappy --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librtmp --enable-libspeex --enable-libsoxr --enable-videotoolbox --disable-libjack --disable-indev=jack
  
    libavutil      56. 31.100 / 56. 31.100
  
    libavcodec     58. 54.100 / 58. 54.100
  
    libavformat    58. 29.100 / 58. 29.100
  
    libavdevice    58.  8.100 / 58.  8.100
  
    libavfilter     7. 57.100 /  7. 57.100
  
    libavresample   4.  0.  0 /  4.  0.  0
  
    libswscale      5.  5.100 /  5.  5.100
  
    libswresample   3.  5.100 /  3.  5.100
  
    libpostproc    55.  5.100 / 55.  5.100
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'demo_SequenceV3.mp4':
  
    Metadata:
  
      major_brand     : mp42
  
      minor_version   : 0
  
      compatible_brands: mp42mp41
  
      creation_time   : 2019-11-01T23:34:45.000000Z
  
    Duration: 00:00:27.69, start: 0.000000, bitrate: 10463 kb/s
  
      Stream #0:0(eng): Video: h264 (Main) (avc1 / 0x31637661), yuv420p(tv, bt709), 2304x1152 [SAR 1:1 DAR 2:1], 10142 kb/s, 23.98 fps, 23.98 tbr, 24k tbn, 48k tbc (default)
  
      Metadata:
  
        creation_time   : 2019-11-01T23:34:45.000000Z
  
        handler_name    : ?Mainconcept Video Media Handler
  
        encoder         : AVC Coding
  
      Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 317 kb/s (default)
  
      Metadata:
  
        creation_time   : 2019-11-01T23:34:46.000000Z
  
        handler_name    : #Mainconcept MP4 Sound Media Handler
  
  [STREAM]
  
  index=0
  
  codec_name=h264
  
  codec_long_name=H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10
  
  profile=Main
  
  codec_type=video
  
  codec_time_base=1001/48000
  
  codec_tag_string=avc1
  
  codec_tag=0x31637661
  
  width=2304
  
  height=1152
  
  coded_width=2304
  
  coded_height=1152
  
  has_b_frames=0
  
  sample_aspect_ratio=1:1
  
  display_aspect_ratio=2:1
  
  pix_fmt=yuv420p
  
  level=50
  
  color_range=tv
  
  color_space=bt709
  
  color_transfer=bt709
  
  color_primaries=bt709
  
  chroma_location=left
  
  field_order=unknown
  
  timecode=N/A
  
  refs=1
  
  is_avc=true
  
  nal_length_size=4
  
  id=N/A
  
  r_frame_rate=24000/1001
  
  avg_frame_rate=24000/1001
  
  time_base=1/24000
  
  start_pts=0
  
  start_time=0.000000
  
  duration_ts=663663
  
  duration=27.652625
  
  bit_rate=10142082
  
  max_bit_rate=N/A
  
  bits_per_raw_sample=8
  
  nb_frames=663
  
  nb_read_frames=N/A
  
  nb_read_packets=N/A
  
  DISPOSITION:default=1
  
  DISPOSITION:dub=0
  
  DISPOSITION:original=0
  
  DISPOSITION:comment=0
  
  DISPOSITION:lyrics=0
  
  DISPOSITION:karaoke=0
  
  DISPOSITION:forced=0
  
  DISPOSITION:hearing_impaired=0
  
  DISPOSITION:visual_impaired=0
  
  DISPOSITION:clean_effects=0
  
  DISPOSITION:attached_pic=0
  
  DISPOSITION:timed_thumbnails=0
  
  TAG:creation_time=2019-11-01T23:34:45.000000Z
  
  TAG:language=eng
  
  TAG:handler_name=Mainconcept Video Media Handler
  
  TAG:encoder=AVC Coding
  
  [/STREAM]
  
  [STREAM]
  
  index=1
  
  codec_name=aac
  
  codec_long_name=AAC (Advanced Audio Coding)
  
  profile=LC
  
  codec_type=audio
  
  codec_time_base=1/48000
  
  codec_tag_string=mp4a
  
  codec_tag=0x6134706d
  
  sample_fmt=fltp
  
  sample_rate=48000
  
  channels=2
  
  channel_layout=stereo
  
  bits_per_sample=0
  
  id=N/A
  
  r_frame_rate=0/0
  
  avg_frame_rate=0/0
  
  time_base=1/48000
  
  start_pts=0
  
  start_time=0.000000
  
  duration_ts=1327326
  
  duration=27.652625
  
  bit_rate=317375
  
  max_bit_rate=335623
  
  bits_per_raw_sample=N/A
  
  nb_frames=1298
  
  nb_read_frames=N/A
  
  nb_read_packets=N/A
  
  DISPOSITION:default=1
  
  DISPOSITION:dub=0
  
  DISPOSITION:original=0
  
  DISPOSITION:comment=0
  
  DISPOSITION:lyrics=0
  
  DISPOSITION:karaoke=0
  
  DISPOSITION:forced=0
  
  DISPOSITION:hearing_impaired=0
  
  DISPOSITION:visual_impaired=0
  
  DISPOSITION:clean_effects=0
  
  DISPOSITION:attached_pic=0
  
  DISPOSITION:timed_thumbnails=0
  
  TAG:creation_time=2019-11-01T23:34:46.000000Z
  
  TAG:language=eng
  
  TAG:handler_name=#Mainconcept MP4 Sound Media Handler
  
  [/STREAM]
  
  [FORMAT]
  
  filename=demo_SequenceV3.mp4
  
  nb_streams=2
  
  nb_programs=0
  
  format_name=mov,mp4,m4a,3gp,3g2,mj2
  
  format_long_name=QuickTime / MOV
  
  start_time=0.000000
  
  duration=27.690667
  
  size=36216937
  
  bit_rate=10463290
  
  probe_score=100
  
  TAG:major_brand=mp42
  
  TAG:minor_version=0
  
  TAG:compatible_brands=mp42mp41
  
  TAG:creation_time=2019-11-01T23:34:45.000000Z
  
  [/FORMAT]

  And here was what I started experimenting with in Python.

  from pymediainfo import MediaInfo
  
  
  
  media_info = MediaInfo.parse('demo_SequenceV3.mp4')
  
  for track in media_info.tracks:
  
      if track.bit_rate is not None:
  
          print ("%s: %s" % (track.track_type, track.bit_rate))
  
      else:
  
          print ("""%s tracks do not have bit rate associated with them.""" % track.track_type)

  I know I’m not using MediaInfo correctly, but I couldn’t find any documentation on timecode, and to be honest I’m pretty confident it’ll just use FFMPEG’s system of searching for a data track that doesn’t appear to exist.

  Anyone here know enough about this to either get it working or to point me in the right direction ?

  The goal is to re-wrap an MP4 as an MOV and translate the timecode so it is back where it normally is on the MOV.

  EDIT : here is an example MP4 that I need to extract the timecode from :

  https://www.dropbox.com/s/a1euiumiapkpzhn/timecode_demo.mp4?dl=0

  And as you can see in this image, the MP4 does have timecode that is being read by Premiere on the bottom left of frame. TC starts at 10:11:12:13.

  https://www.dropbox.com/s/pafqicnnsqu93rl/timecode_window_in_premiere.png