Research Paper to Text
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モデル:
+ GPT-5, Claude, Gemini
Drop an arXiv preprint, journal paper, or thesis chapter — AI converts it into clean LaTeX-flavored text. Math equations stay as equations, multi-column layouts get unwound, citations preserved. Powered by Meta Nougat-base.
Reading equations + unwinding columns… ~10 sec/page
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Convert any research paper PDF into searchable LaTeX-formatted text. Built for arXiv, IEEE, Springer, ACM. Math equations stay as equations. Free.
使い方 Research Paper to Text
1
入力を入力
テキストを入力、ファイルをアップロード、または必要なことを記述します。アカウントは必要ありません。
2
クリックして生成
私たちのAIは、最良のオープンソースモデルを使って、あなたの要求を数秒で処理します。
3
ダウンロードと共有
結果をダウンロード、コピー、共有できます。個人的、商業的な使用は無料です。
このツールを API で使用
あなたのコードからこのツールを自動化します。OpenAI 互換の REST エンドポイント、ベアートークン認証、追加の SDK が必要ありません。トークンのコストはウェブインターフェースと一致します。
curl -X POST https://api.free.ai/v1/chat/ \
-H "Authorization: Bearer sk-free-..." \
-H "Content-Type: application/json" \
-d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Use the Research Paper to Text tool on: ..."}]}'Research Paper to Text — FAQ
Converts research papers — arXiv preprints, journal articles, theses — into clean LaTeX-formatted plain text optimized for math + citations. Equations come back as `$...$` LaTeX, multi-column layouts get unwound, references preserved. Faster + smarter than copy-pasting a PDF into a text editor.
Generic PDF tools like pdftotext destroy equations and scramble multi-column reading order — fine for memos, useless for papers. Nougat (the model behind Research Paper to Text) was trained on millions of arXiv pages specifically to handle that case.
PDF only right now — born-digital and scanned both work. Max 50 MB. Most research papers are ≤10 MB so this isn't a constraint in practice.
Nougat outputs LaTeX-flavored Markdown — inline equations as `$...$`, displayed as `$$...$$`. Drop the output into Pandoc / Quarto / a Jupyter notebook and equations render natively. Or feed it to ChatGPT and ask for a plain-English explanation of each equation.
Yes — automatic. Two-column IEEE-style and three-column journal layouts both come out as a single readable text stream in proper reading order.
Tables are extracted into Markdown table syntax. Figure captions are preserved; figure images themselves are not extracted (we keep just the text + math).
Inline citation markers stay where they are. The references / bibliography section at the end is extracted intact so you can use it with Zotero, BibTeX, or your own pipeline.
Roughly 8-15 sec/page. 300 tokens/page (floor 600). A 10-page paper = 3K tokens; daily free pool covers a few papers per day for signed-in users.
PDFs are processed immediately and deleted. Output is kept 24h (anonymous) / 7 days (paid). Never used for training.
Yes — clean LaTeX output is ideal for downstream LLM ingestion. Many users build paper-search engines or "explain this paper" bots on top of this endpoint.
GROBID is excellent for citation extraction but weak on math. SciPDF is heavier to deploy. Nougat is purpose-built for the full PDF→text+math conversion in one pass — best for end-users who just want the paper as readable text.
Yes — same /v1/document/academic-pdf/ endpoint. Multipart `file` upload, JSON response, Bearer auth. /api/ for the curl example.
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