# Transcript Desk, video research

> Canonical: https://goodglyph.com/en/portfolio/transcript-desk

Transcript Desk turns video into research material: a link becomes a timestamped transcript, a summary and a table of claims worth checking. It runs entirely on your own computer — nothing goes to the cloud, no subscription. The code is public on GitHub.

- **Client:** Proiect intern
- **Industry:** Research & content
- **Services:** UI/UX Design, Custom apps, Automations & integrations
- **Platform:** Local, on your own Mac

## An hour of video for a minute of information

More and more primary research lives in video and podcasts: interviews, talks, hour-long discussions you need three claims from. You scrub, take notes by hand, lose the timestamp, and the transcript — if it exists — is locked inside the platform holding the video. The tools that do this in the cloud want a subscription and get to see all your research material.

## Link in, working material out

We built a local desk: you give it a link, and the app pulls the audio, transcribes it with timestamps, and produces a summary plus a claims table — what was said, when, and what deserves checking. Everything runs on your own Mac, so the research material never leaves the machine. We built it for our own research, then published it on GitHub.

## Fact, opinion, speculation

![Fact, opinion, speculation](https://cdn.sanity.io/images/r02toxo7/production/6c4281afef203d51ee545360480fb0b2c866db50-834x790.png?w=1600&q=82&fit=max&auto=format)

Any note can get an on-demand research pack: the exact quotes from the transcript, split into fact, opinion, and speculation, plus verification queries ready to search. Every claim keeps the second it was said, so checking starts at the source.

## The reading list

![The reading list](https://cdn.sanity.io/images/r02toxo7/production/79b2c6d56a61a2600588ed1a5975763b8057aa7d-1452x1332.png?w=1600&q=82&fit=max&auto=format)

Books get their own section: add a title and the author, description, and tags fill themselves in. From a note you've already captured, whether a BookTok video, a tweet, or an article, the app pulls every book it mentions and keeps the source's own framing in the first tag. The list exports as Markdown.

## Results

- **100%** — processing on your own Mac
- **Public** — open code on GitHub