If you are writing a thesis or a long paper, your bibliography lives in a .bib file: a list of @article and @book entries used by LaTeX to render the references section. BibTeX is perfect for that.
It is awful for everything else. You can not search it the way you would search a spreadsheet. You can not sort it by year or author. You can not share it with your committee in a format they understand. The moment you want to look at your bibliography as data, you need it in CSV.
This post covers why people do this conversion, what the output looks like, and the edge cases that bite first-time users.
The actual reasons people convert BibTeX to CSV
A few of the workflows we see most often:
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Thesis bibliography audit. You have 400 entries collected over three years. You want to scan for duplicates, missing fields, papers without DOIs, anything older than 2010. A spreadsheet view makes this easy. The
.bibfile makes it nearly impossible. -
Sharing with non-LaTeX collaborators. Your advisor uses EndNote, your co-author uses Zotero, you use LaTeX. Everyone reads CSV. It is the lowest common denominator that every reference manager and every spreadsheet app accepts.
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Migrating between tools. Moving your collection from JabRef to Zotero, or from BibTeX to a Notion database. CSV is the bridge format that survives the trip.
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Bibliometric analysis. If you are doing a systematic review, a meta-analysis, or just counting your citations per year, you want the data in a tool that can group, count, and pivot. Excel and Pandas both want CSV.
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Grant applications and CVs. Most templates expect bibliography data in a structured form you can paste into a table.
What the CSV output actually looks like
Our BibTeX to CSV converter produces a spreadsheet with one row per entry and one column per BibTeX field. The header row is the union of every field that appeared in your .bib file, so an entry with a doi and an entry without one both get represented correctly: the missing field is just an empty cell.
A typical output:
id,type,authors,title,year,journal,volume,pages,doi
smith2024,article,"Smith, John and Doe, Jane",A Sample Paper,2024,Nature,123,45-67,10.1038/sample.2024.001
brown2023,book,"Brown, Alice",Book on a Topic,2023,,,,978-0-262-04567-8
Note that the authors column is one cell with all authors joined by " and " (the BibTeX convention). If you want one author per column, that takes a manual split in your spreadsheet.
The four edge cases that bite
Accented and non-Latin characters in author names
BibTeX has its own way of escaping accented characters in TeX command form: Caf\'e instead of Café, Sch\"on instead of Schön. Most reference managers produce the escaped form when exporting to .bib files.
Our converter decodes these back to their unicode form in the CSV output. So Sch\"on in the BibTeX becomes Schön in the CSV. This matters because your spreadsheet's sort-by-author column will rank Sch\"on and Schön differently if you mix decoded and undecoded entries.
If you see escape sequences leaking through in the CSV, it means the BibTeX file used a non-standard escape that our parser did not recognize. Open the source .bib, manually replace the escape with the unicode character, re-run.
Multi-author entries
BibTeX joins authors with the word " and ", which is unambiguous in the academic world but trips up spreadsheet users who assume " and " in a cell means natural English ("Smith and Doe co-wrote") rather than an author separator.
The CSV preserves the " and "-joined form because splitting into separate authors would either (a) require knowing how many author columns to create (varies per entry) or (b) lose the order information that matters for citation styles like AMA where first author is special.
If you need separate author columns in Excel:
- Find/Replace " and " with a unique delimiter, say
| - Use Data → Text to Columns → split on
| - The result is one author per column, padded with empties for shorter entries
Cross-references between entries
BibTeX supports @inproceedings entries that reference their parent @proceedings entry via a crossref field. The data is then split across two .bib entries. CSV cannot model this directly; every row is independent.
Our converter inlines crossref data into the child entry where possible (the parent's title becomes the child's booktitle, etc.). If your .bib file has heavy crossref usage and the CSV looks like it is missing fields, check whether the missing data is in a @proceedings entry that did not get inlined.
DOIs that look like numbers in Excel
Excel is aggressive about auto-detecting "10.1038/sample.2024.001" as a number and stripping leading zeros or formatting it weirdly. If your CSV import in Excel mangles DOIs, you have two options:
- Import via Data → From Text/CSV (not double-click) and explicitly set the DOI column to Text type
- Or open the CSV in Google Sheets first (which is less aggressive about auto-detection), then re-export if needed
This is not a converter bug; it is an Excel feature you can not disable globally.
What to do after you have the CSV
The most common next steps:
- Open in Zotero: File → Import → choose CSV, map columns. Zotero's CSV import is forgiving and recognizes most field names.
- Open in Excel/Sheets: just open. Sort by year, filter by journal, count entries per author.
- Import to a database: most SQL tools have a CSV import wizard. Match columns to your schema.
- Round-trip back to BibTeX: our CSV to BibTeX converter does the reverse if you need to send edits back to a collaborator who uses LaTeX.
If you are starting a new project and you have the choice, consider CSL-JSON instead of CSV. It is structured (no Excel quirks), every modern reference manager reads it natively, and the conversion from BibTeX is also one drag and drop.