Research Paper to Text

Whakama ā-pūnaha OK 380+ tauira Kāore he tohu wai Kāore he kōwhiringa e hiahiatia ana
Kāhua:
+ 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.

Drop a research paper PDF here or click to upload

PDF up to 50 MB. ~300 tokens per page (math-aware).

Reading equations + unwinding columns… ~10 sec/page
Ko ngā kōwhiringa hōhonu
Whakamutunga
Kua iti te tohu. Get More Tokens
Want better results? Kāhua Premium (GPT-5, Claude, Gemini) deliver higher quality. View Plans

❤️ E hiahia ana ki te Free.ai? Whakapāpāho ki ōna hoa!

Kaituhi ki kia whiwhi ai i tētahi pātahitanga tohutoro, ā, ka whiwhi i ngā tohu 25,000 ia hoa.

E hiahiatia ana ētahi atu? Ka whakaingoatia te wāteatanga mo ngā tohu 5K / rā + tāpiri 10K
Ka whakaingoatia te pūkete

E whakapāpā ana i tō tātau tono...

Convert any research paper PDF into searchable LaTeX-formatted text. Built for arXiv, IEEE, Springer, ACM. Math equations stay as equations. Free.

He pēhea te whakamahi Research Paper to Text

1
Kei roto i tō tou tāuru

Type i te kupu, tuku i tētahi faila, whakaahua rānei i te mea e hiahiatia ana e koe. Kāore he tatau e hiahiatia ana.

2
Ka tirohia te whakatūnga

Ka tukatuka tātau AI i tō tātau tono i roto i ngā wā kotahi mā te whakamahi i ngā tauira pūtake tūwhera pai rawa.

3
Whakahua & tiritiri

Whakataki, tārua, tiritiri rānei i tōna hua. Whakatika noa iho mō te whakamahinga whaiaro, hokohoko rānei.

Ka whakamahia tēnei utauta mā te API

Ka whakamātautau tēnei utauta mai i tōtou waehere. Ko te wāhi mutunga o te REST e ōrite ana ki te OpenAI, te mana tohu-tokona, kāore he SDK tāpiri e hiahiatia ana. Ko ngā utu tohu e ōrite ana ki te whakawhitinga whatunga.

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.

Ka whakaingoatia te wāteatanga mō ngā tohu 10,000

Ka waihanga tētahi pūkete wātea

Kāore he kāri ā-pūtea e hiahiatia ana

He pēhea te whakawātea i tēnei utauta?

E hiahia ana ki te Free.ai? Whakapāpāho ki ōna hoa!