PDF ka Markdown
Ọrụ ọhaneze OK
567 models
Enweghị akara mmiri
Enweghị mkpa ịbanye
Móòdù:
+ GPT-5, Claude, Gemini
Gbanyụọ PDF - AI na-agbanwe ya na Markdown nke GitHub-flavored na isiokwu, paragraf, ndepụta, tebụl, na koodu blooks niile echekwara. Powered by IBM Granite-Docling-258M (Apache 2.0). Nnukwu + smarter karịa ịkpụzi ngwe dị mfe.
Na-ewepụ Markdown nke mara nhazi... ~5-10 sekọnd/ihuakwụkwọ
Nkarachọ ndị ahụ
Nke ahụ
Token na-aga n'okpuru.
Wepụta Token
❤️ Ịhụnanya Free.ai? Kpọtụrụ enyi gị!
Sign up iji nweta a referral njikọ na-enweta 30,000 tokens kwa enyi.
Ịchọrọ ihe ọzọ?
Nweta n'efu: 30,000 tokens/ụbọchị
Ndebanye aha
Na-arụ ọrụ n'ihe nchọgharị gị...
Kpọgharịa PDF ọbụla n'ime Markdown nke GitHub-flavored na isiokwu, táàbụ̀, ndesịta, nakwa koodị blóọ̀lụ̀ echekwara. Ejiri IBM Granite-Docling rụọ ọrụ. Free, unlimited, no signup.
Otu esi eji ya PDF ka Markdown
1
Tinye inu gị
Tinye ngwe, bubata faịlụ, mọọbụ gosi ihe ịchọrọ. Achọrọghị akaụntụ.
2
Pịa iji mepụta
Anyị AI na-enyocha arịrịọ gị n'ime sekọnd na-eji ihe kacha mma open-source models.
3
Bubata na akwado
Bubata, debata, mọọbụ kesaa nsonaazụ gị. Free maka ojiji nkeonwe na nke azụmahịa.
Jiri tùlè a site na API
Megharịa ihenhọrọ a site na koodị gị. OpenAI-compatible REST endpoint, Bearer-token auth, enweghị SDK ọzọ achọrọ. Token costs match the 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 ka Markdown tool on: ..."}]}'PDF ka Markdown - FAQ
N'ụdị PDF ọ bụla, hapụ ya na AI na-atụgharị ya na Markdown nke GitHub-flavored - isiokwu ndị na-adịgide adịgide, tebụl na-adịgide adịgide, ndepụta na-adịgide adịgide, koodu blookers na-adịgide adịgide. Na-aga n'ihu n'
IBM Granite-Docling-258M (Apache 2.0). Tiny vision-to-sequence model fine-tuned maka layout-aware document conversion - beats pdftotext + much faster + smarter than running a generic vision-language model on each page.
Adobe Export to Word na-echekwa layout ma na-emepụta.docx + ọnụ ahịa ~ $ 15 / mo. Docling na-echekwa arụ ọrụ SEMANTIC (ihe nlereanya nke isiokwu, ndepụta dị ka ndepụta, tebụl dị ka tebụl Markdown) na-eweta usoro LLMs na ngwaọrụ dev nwere ike ijikọ na-enweghị nsogbu.
LlamaParse na unstructured nwere tiers free ma cap peeji / ọnwa na chọrọ API key. Docling-258M na-agba ọsọ na mpaghara na anyị GPU + bụ nke ọma self-hosted Apache 2.0, enweghị per-page metering, enweghị key signup. Quality bụ asọmpi na LlamaParse na standard documents.
Ya - táàbụ̀ na-abịa n'ihu dịka Markdown pipe-táàbụ̀ kwesịrị ekwesị. Táàbụ̀ mara mma na-akpụpụta ọtụtụ kọlumn/n'ime onwe ya a na-akpụpụta ya n'ụzọ dị njọ (ihe nkwụsị Markdown nke dị n'okpuru, ọ bụghị nsogbu nke móòdù). Maka n'ezigbo nghọta táàbụ̀, anyị na-akwadokwa `format=html` site na API nke na-echekwa rowspan/colspan.
Granite-Docling na-eme nzọụkwụ OCR ya onwe ya - na-arụ ọrụ na-amụba-digitiịl nakwa PDFs emeredịkachọrọ. E emeredịkachọrọ na ala DPI (<150) na-ahapụ ụfọdụ n'eziokwu ngwe; malitegharịa na 200+ DPI maka nsonaazụ kacha mma.
LaTeX-equations ndị kasị ukwuu na-abịa site na inline `$...$` Markdown mathematics. Maka akwụkwọ nyocha na-akpụzi mathematics, anyị na-enyekwa akaụntụ-akwụkwọ-ewepụtụla ihenhọrọ (Nougat) nke e gosipụtara maka equations na ntụgharị.
N'ihe banyere 5-10 sekọnd kwa peeji na H200 anyị. A 30-page report bụ ~ 3-5 minit. Tiny model pụtara batch nke obere PDFs bụ n'ezie n'efu na pool kwa ụbọchị.
200 tokens kwa peeji, na 500-token floor. A 5-page contract = 1,000 tokens. A 30-page report = 6,000 tokens. The 30K ụbọchị free pool covers most typical use.
PDF - a mụrụ ya na dijitalụ + skenere ya. Max 50 MB ibudata. Dọkịta ndị ọzọ (DOCX, EPUB, HTML, wdg) bụ na roadmap; maka ugbu a ibudata-na-agbanwe agbanwe na ihe ntụgharị pdf mbụ.
E mepụtara ya n'oge na-adịghị anya, Markdown output a na-echekwa (24h anonymous / 7d paid share-link expiry), isi PDF a na-ehichapụ n'oge mgbe ebudatara ya. A na-ejighị ya eme ihe maka nkuzi. /privacy/ maka ntọala zuru ezu.
Ya - POST a multipart `faịlụ` ka /v1/document/pdf-to-markdown/. Na-eziga {markdown_url, peeji, nlebiri anya, token, share_url}. Ogo onye na-eweta (sk-free-…) na-enye 10K token ọbụla/ọnwa. /api/ nwere ihenhọrọ curl.
Olee otú ị ga-esi họrọ ihenhọrọ a?