PDF kuya ku-Markdown
Ukusetshenziswa kwebhizinisi OK
Amamodeli angama-380+
Akukho phawu lwamanzi
Akukho ubhaliso olungenayo
Imodeli:
+ GPT-5, Claude, Gemini
Ukususa i-PDF — I-AI iguqula ibe yi-GitHub-flavored Markdown ehlanzekile enezihloko, amapharagraphs, ama-lists, amathebula, nama-code blocks wonke agcinwe. Isebenza nge-IBM Granite-Docling-258M (Apache 2.0). Isheshe + ihlakaniphile kune-text extraction elula.
Ukukhishwa kwe-Markdown eyaziyo isakhiwo… ~5-10 imizuzwana/ikhasi
Izinketho ezithuthukisiwe
Imiphumela
Ama-token aphansi.
Thola ama-token amaningi
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Bhala mahhala nge-30K tokens / ngosuku + 10K ibhonasi
Bhala
Kuqedwa isicelo sakho...
Guqula noma iyiphi i-PDF ibe yi-Markdown ehlanzekile ene-GitHub-flavored nesihloko, amathebula, ama-uhlu, nama-blocks wekhowudi agcinwe. Isebenza nge-IBM Granite-Docling. Imahhala, ayiphelelanga, akukho ubhaliso.
Indlela Yokusetshenziswa PDF kuya ku-Markdown
1
Faka umngenisi wakho
Bhala umbhalo, ulayishe ifayela, noma uchaza ofuna ukukwenza. Akukho akhawunti edingekayo.
2
Chofoza ukwakha
I-AI yethu isebenza isicelo sakho emaminithini usebenzisa amamodeli avulekile angcono kakhulu.
3
Layisha phezulu futhi uhlukanise
Layisha phezulu, kopela, noma uhlukanise imiphumela yakho. Imahhala ukusetshenziswa komuntu siqu nokwebhizinisi.
Sebenzisa lesi sisetshenziswa nge-API
Yenza lokhu sixhobo sisebenze ngokuzenzakalela kusuka kukhodi yakho. I-REST ehambisanayo ne-OpenAI, ukuqinisekisa i-token ye-bearer, akukho SDK edingekayo. Izindleko ze-token zifana ne-web interface.
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 PDF kuya ku-Markdown tool on: ..."}]}'Amathuluzi ahlobene ne-AI emahhala
PDF kuya ku-Markdown — FAQ
Ukudonsa noma yikuphi i-PDF futhi i-AI iguqula ibe yi-GitHub-flavored Markdown ehlanzekile - izihloko zihlala izihloko, amathebulethi ahlala amathebulethi, ama-akhawunti ahlala ama-akhawunti, ama-blocks wekhowudi ahlala ama-blocks wekhowudi. Ihamba phambili ngaphandle kokukhishwa kwe-text plain; isakhiwo se-hierarchy sedokhumende sigcinwa ukuze ukwazi ukudonsa i-output ngqo kwi-docs site, i-LLM RAG pipeline, noma i-search index.
IBM Granite-Docling-258M (Apache 2.0). Imodeli encane yesithombe-si-sekulandelela i-fine-tuned ye-layout-aware document conversion — ishaya i-pdftotext + ihamba ngokushesha + ilula kunalokho ukuqhuba imodeli yesithombe-si-silimi esijwayelekile kwikhasi ngalinye.
pdftotext i-flat dump - amapharamitha namathebulethi awela emgodini wamazwana. I-Adobe Export to Word igcina i-layout kodwa ikhiqiza i-.docx + izindleko ~ $ 15 / mo. I-Docling igcina isakhiwo se-SEMANTIC (amanqanaba okubhalwe phansi, ama-odolo njengoluhlu, amathebulethi njengethebula le-Markdown) futhi ikhiqiza ifomethi ye-LLMs ne-dev tools angasebenzisa zombili ngokusemthethweni.
LlamaParse kanye ne-unstructured zombili ziyi-tier yamahhala kodwa amakhasi e-cap / ngenyanga futhi zidinga inkinobho ye-API. I-Docling-258M isebenza endaweni yethu ye-GPU + iyi-Apache 2.0 egcwele, akukho ukulinganisa kwekhasi ngalinye, akukho isingeniso esisodwa. Umgangatho ukhuphuka nge-LlamaParse kumadokhumende ajwayelekile.
Yebo — amathebula abuyela emuva njengethebula le-Markdown pipe-table. Amathebula anzima aqukethe uhlu oluningi / afakwe ngaphakathi ahlukaniswe ngokuqinile (ukuphela kweMarkdown limitation, hhayi iphutha lemodeli). Ukuqinisekisa ukuthi amathebula athembekile, sisekela futhi `format=html` nge-API egcina i-rowspan/colspan.
I-Granite-Docling ithatha isinqumo se-OCR - isebenza kuma-digital-born AND scanned PDFs. I-scanned ku-DPI ephansi (<150) ilahlekelwa yiqiniso lombhalo; hlola kabusha ku-200+ DPI ukuthola imiphumela engcono.
Iningi le-LaTeX-equations eyenziwe ivela njenge `$...$` Markdown mathematics. I-papers yocwaningo nge-mathematics enzima, sinikeza futhi i-academic-paper-extract tool (Nougat) ekhethekile eyenziwe nge-equations ne-citations.
I-5-10 imizuzwana ngayinye yekhasi lethu le-H200. I-30-page report i-3-5 imizuzu. Imodeli encane ikhombisa ukuthi ama-batch we-PDFs amancane amahhala epulazini lemihla ngemihla.
200 tokens ngekhasi, nge 500-token floor. A 5-page contract = 1,000 tokens. A 30-page report = 6,000 tokens. The 5K daily free pool covers most typical use.
PDF — ezalwa-digital + i-scanned zombili zixhaswe. Max 50 MB ukufaka. Okunye amafomethi wedokhumende (DOCX, EPUB, HTML, njll) akhona kwi-roadmap; manje ukufaka-ukuguqula ngethuluzi le-pdf-ukuguqulwa kuqala.
Iqhubekelwe ngokushesha, i-Markdown output igcinwa (24h engaziwa / 7d ikhokhelwe ukuxhumana kokuxhumana), i-PDF yomthombo isuswa ngokushesha ngemuva kokukhipha. Ayikho isetshenziswa ukuqeqeshwa. /privacy/ for the full policy.
Yebo — POST ingxenye eminingi `file` ku /v1/document/pdf-to-markdown/. Ibuyisela {markdown_url, amakhasi, ukubheka, ama-token, share_url}. Ubufakazi bomuntu ophethe (sk-free-…) bunikeza ama-token angama-10K amahhala/ngonyaka. /api/ inesibonelo se-curl.
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