Save weeks of cleanup later
A one-sentence memo today saves you a week in year three. You will always know which file is final, and why you dropped the data for 2014.
Start journalingLog what you changed, see your history, and stay archive-ready—all on your own computer.
…two years later, a reviewer asks which one produced Table 3.
No migration, no setup ritual. Point it at a folder and start writing. The documentation assembles itself in the background.
Open or create a project folder on your computer. That folder is your journal, no import, no upload.
Each time you work with the data, leave a short memo of what changed and why. A sentence is plenty.
Produce summaries, data management plans, and an archive-ready package whenever the moment calls for it.
Install the app, open it, and create your first project. Real footage with narration.
More tutorials on YouTube.
Ten features, three promises. The small notes you take today become the documentation your future self needs.
Write a quick note whenever you touch your data: type it, dictate it by voice, or use the floating Quick Log without leaving Excel, Word, Numbers or Pages. Streaks and a heatmap keep it fun.
Every version from “Original” to now, every note in its place. Reopen the data exactly as it was at any point, or ask the local AI: “Why did I drop the data for 2014?”
When the moment comes (publication, thesis submission, project end), SepiaLog turns your journal into the package everyone asks for. No weekend lost to “data cleanup”.
Also: a multi-language interface (English, German, 简体中文), and a built-in demo project so you can try everything before using your own data.
The core app is free. Tools marked Pro are optional extras, currently free for everyone during the beta.
A one-sentence memo today saves you a week in year three. You will always know which file is final, and why you dropped the data for 2014.
Start journalingGet a clean summary of what changed in the data since the last meeting. When reviewers ask for revisions two years later, the exact dataset version is pinned to the paper.
Try it with one studentIt quietly produces the FAIR, archive-ready package you ask them for, with maDMP export and a GDPR check. Local and no-cloud, so data-protection review is easy.
Evaluate for your trainingsSepiaLog was created by Dr. Ivan Đurić, a Senior Researcher. He built it out of a need that grew from more than 20 years of research experience.
Keeping up with the constant transformations a dataset goes through over a project's lifetime is a never-ending struggle. And when the motivation to track that processing slips, as it always does, it turns into real problems later, the moment results need to be regenerated or the data prepared for publication.
SepiaLog exists to fix exactly that: to help PhD students and researchers turn one of the most tedious and demanding parts of research into something genuinely easy.
Enjoy journaling.