Organize research papers, journal articles, and academic documents using citation-friendly naming with author, year, and topic. Perfect for researchers, students, and academics.
{author}_{year}_{title}_{source}| Field | Description | Example |
|---|---|---|
| {author}AI | First author's last name (or "et-al" for multiple) | smith, johnson-et-al |
| {year}AI | Publication year | 2024, 2023 |
| {title}AI | Shortened paper title | machine-learning-review |
| {source}AIOptional | Journal or conference name | nature, ieee, arxiv |
This naming pattern follows academic citation conventions (Author, Year), making it easy to locate papers when writing references and building bibliographies.
Manage literature review collections
Organize reference libraries
Maintain teaching materials
Catalog digital archives
Research collections grow to hundreds of files quickly, and generic names like paper(1).pdf or download.pdf make it impossible to find what you need without opening files one by one. Citation-format naming (Author_Year_Title) mirrors how researchers already think about and cite papers — searching for "smith_2024" retrieves the right file instantly.
Consistent naming also enables folder-level sorting that matches how you work. All papers by a given author, all papers published in 2024, or all papers from a specific journal naturally group together in an alphabetically sorted directory. This makes both manual browsing and automated scripting (e.g. building a bibliography from filenames) far more reliable.
Including the source abbreviation — nature, ieee, arxiv — adds instant credibility filtering. When scanning a folder for peer-reviewed sources versus preprints, the source field does the work without opening a single file.
The default pattern covers most journal articles. For other academic document types, these variants work better:
Conference papers (with venue)
{author}_{year}_{title}_{venue}e.g. lecun_1998_gradient-based-learning_icml.pdf
Dissertation or thesis
{year}_{author}_{institution}_{degree}-thesise.g. 2023_chen_mit_phd-thesis.pdf
Preprint with arXiv ID
{author}_{year}_{title}_arxiv-{id}e.g. vaswani_2017_attention-is-all-you-need_arxiv-1706.03762.pdf
AI looks for copyright notices, submission dates, and "received" dates embedded in the document. If none are found, the year field is left blank so you can fill it in during the rename preview before confirming.
Yes — use a pattern like {author}_{year}_{title}_{edition} and set edition as an optional field. For example: russell_2020_artificial-intelligence_4th-ed.pdf. FilesDesk will extract the edition number from the cover page or title page.
FilesDesk detects filename collisions before writing and automatically appends a counter suffix (_2) to avoid overwriting files. You will see the collision flagged in the rename preview.
Yes — OCR mode extracts text from scanned documents before applying the AI naming logic. Enable OCR in the template settings for best results on older scanned papers or photocopied journal articles.
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