This is an automatic parser of Amazon Transcribe jobs - of podcast episodes - which outputs to HTML.

Compatible with Python 2.7 and Python 3+.

Just populate an input file, called input.txt, where each line is semi-colon-separated and contains the name of the Amazon Transcribe output JSON file, and a comma-separated, ordered list of speakers.

For example, the following input.txt file will result in the iterative processing of files episode_1.json, episode_2.json and episode_3.json. speaker_1, speaker_2 and speaker_3 will replace the automatically generated placeholders spk_0, spk_1 and spk_2. The output HTML files will be named after the jobName from each input JSON file.

episode_1.json;speaker_1,speaker_2
episode_2.json;speaker_2,speaker_3
episode_3.json;speaker_1,speaker_2,speaker_3

Once you've created your input.txt file and moved it in the same directory as the process_aws_output.py file, you simply need to run the script with Python:

$ python process_aws_output.py
SUCCESS!

A SUCCESS! message is expected, signifying that all HTML outputs have been stored in the same directory.

Please, don't hesitate to ask questions or request changes or improvements via the Issues section.

If you're feeling generous, donations are welcome:

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