ThesisAI is an academic research and writing workspace for producing structured scientific drafts from a prompt and a curated paper collection. It can search for papers through Semantic Scholar, import reference libraries, process up to hundreds of uploaded sources, generate multi-section documents with inline citations, support numerous languages and citation styles, and export work to PDF, Word, LaTeX, BibTeX, or Overleaf for further editing.
The tool can accelerate literature organization and first-draft preparation, but authors remain responsible for the argument, methods, evidence, attribution, and compliance with institutional rules. Every cited claim should be checked against the original paper, unknown metadata should be corrected, AI-generated prose should be rewritten and disclosed when required, and confidential or unpublished sources should be handled under applicable approval and data policies. It must not be used to misrepresent authorship or bypass academic-integrity requirements.
Research basis: This is a source-based directory listing prepared from public product information; it is not represented as a hands-on test. Last updated August 8, 2026. Read our methodology.
For the latest pricing, please visit this link: https://www.thesisai.io/
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