Export Your Finished Transcript

Reading time: approx. 5 min

What You Will Learn

You now have a high-quality, punctuated, and timestamped text file. In this final, short moment you learn to use pandoc, a universal conversion tool, to transform your transcript_punctuated.txt into more useful and shareable formats.

The Basics: What Is Pandoc?

Pandoc is like a Swiss Army knife for documents. It can read almost any text format and write almost any other. We will use it to go from a simple text file to structured documents.

Install Pandoc

If you do not already have it, install Pandoc on your system.

For Debian/Ubuntu:

sudo apt update && sudo apt install pandoc

For Fedora:

sudo dnf install pandoc

For Arch Linux:

sudo pacman -S pandoc

How to Convert Your Text

Make sure you are in your project folder (~/sv-transkriptor) in the terminal. Here are the commands to convert your transcript_punctuated.txt.

Convert to Markdown

Markdown (.md) is a simple format used extensively on the web and for documentation.

pandoc transcript_punctuated.txt -o transcript.md

Convert to Word (.docx)

Perfect for sharing with colleagues or for further editing in Microsoft Word or Google Docs.

pandoc transcript_punctuated.txt -o transcript.docx

Convert to HTML

Create a web page of your transcript.

pandoc transcript_punctuated.txt -o transcript.html

How We Can Use This in the Classroom

The entire chain is now complete! You have gone from a YouTube video to a formatted, searchable, and useful document. This is a powerful workflow that you can customize and build upon.

Questions to Consider:

• Automation: How could you combine all the Python scripts and pandoc commands into a single script that runs the entire process with a single command?
• Structure: Would you like to merge the text between timestamps into longer, continuous paragraphs? How would you modify punctuate.py to do that?
• Metadata: How can you add information like the video's title, URL, and date at the top of the exported document?

Course Conclusion

Congratulations! You have successfully completed an advanced AI process on your local computer. You have installed command-line tools, managed Python environments, run multiple AI models, and converted the result into professional formats.

The skills you have acquired in this course are a solid foundation for continuing to explore the rapidly growing world of open and local AI. Keep experimenting!