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SigmaCV icon

SigmaCV

Free, open-source tool that auto-builds your academic CV from open research data (ORCID, OpenAlex) and exports it to PDF, Word, LaTeX, and more.

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  • Online  Online (web-based) · Self-Hosted
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  • Developed by

    JP flagBasileChretien
  • Licensing

    Open Source (Apache-2.0) and Free product.
  • Written in

  • Alternatives

    8 alternatives listed
  • Supported Languages

    • English
    • Chinese
    • Spanish
    • French
    • German
    • Japanese
    • Portuguese
    • Italian
    • Korean
    • Russian

AlternativeTo Category

Education & Reference

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What is SigmaCV?

SigmaCV is a free, open-source web app that assembles a clean, ready-to-use academic CV for you from the public research record — no copy-pasting your publication list, no formatting citations by hand.

You sign in with your ORCID iD, and SigmaCV pulls your work from open databases (OpenAlex, ORCID, Crossref, DataCite, OpenAIRE, DBLP, Open Editors Plus, ClinicalTrials.gov, EU CTIS, EPO, Wikidata, ROR) to fill in your publications and — where the data exists — your positions, education, funding, datasets, software, patents, clinical trials, and peer-review and editorial roles. You start from a filled-in CV, not a blank page.

Your work is matched by your researcher identifier (ORCID iD / OpenAlex author ID), never by your name as text, which avoids the classic "someone else with my name" mix-up that affects name-based tools — especially for common names and names in non-Latin scripts.

You stay in control: mark anything that isn't yours as "not mine" (it's hidden, never deleted), reorder entries, and choose which sections show. Because every output is built from one canonical record through a single citation engine (citeproc-js / CSL), your references look identical and correct everywhere.

Export to PDF, Word (DOCX), LaTeX, Markdown, BibTeX, CSL-JSON, JSON Résumé, or an NIH biosketch — or publish a living public web page that re-syncs from the open record on its own. 58 one-click layouts cover major funders and institutions (UKRI R4RI, Royal Society, SNSF, NIH, NSF, ERC, an ICH-GCP clinical-investigator CV, and more); applying a layout only selects, reorders, and re-titles sections, never deletes data.

Metrics are off by default and fully opt-in; when enabled, SigmaCV prefers field-normalized indicators over raw counts and never shows a journal Impact Factor, in line with DORA (the San Francisco Declaration on Research Assessment). It reads only public metadata, never writes back to any database, and is built privacy-first for GDPR and Japan's APPI, with per-field publish consent, full data export, and one-click account deletion.

Free for individuals, Apache-2.0 licensed, and fully self-hostable (Next.js + PostgreSQL, Docker Compose). Available in 10 languages.

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