Catch AI hallucinated citations instantly. Paste any reference — VeriCite cross-checks CrossRef, PubMed & more in seconds and tells you if it's real.
[VeriCite — Academic Citation Verifier]
AI writing tools are powerful, but they hallucinate. Fabricated paper titles, invented authors, non-existent DOIs — these "hallucinated citations" look convincing but lead nowhere. VeriCite automates the tedious manual verification process, cross-checking multiple authoritative academic databases in seconds.
[KEY FEATURES]
▸ Citation Verification
Paste any citation in any format (APA, MLA, Chicago, Vancouver, etc.). VeriCite automatically detects DOIs and PMIDs, queries databases in sequence, and returns a verification status with a confidence score (0–100).
▸ Batch Verification
Paste multiple citations at once. VeriCite splits and verifies them in parallel, with real-time progress tracking and a confidence score distribution chart.
▸ OCR Scan Input
Point your camera at a bibliography page or pick an image from your photo library. The Vision framework extracts the text and feeds it directly into the verification pipeline — no typing required.
▸ Field-by-Field Diff
See exactly where your citation diverges from the database record — title, authors, year, journal — all flagged clearly so you know precisely what's wrong.
▸ Export in Multiple Formats
Export your verification history as plain text, CSV, BibTeX, APA, MLA, or Chicago — ready to paste into your paper or import into any reference manager.
▸ History & Spotlight Search
All results are stored locally. Filter by status, re-verify any entry, and find past results instantly via iOS Spotlight search.
[DATABASES CHECKED]
• CrossRef — 150M+ records, primary source
• PubMed / NCBI — medicine & life sciences
• Semantic Scholar — 200M+ papers
• OpenAlex — 250M+ records, strong humanities & social science coverage
[PRIVACY FIRST]
No account required. No personal data collected. All history stays on your device. Citation content is only sent to the academic APIs listed above — nothing else.
[IDEAL FOR]
• Researchers conducting literature reviews
• Graduate and undergraduate students writing theses
• Academic editors and fact-checkers
• Anyone using AI writing assistants
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