PDF ho Markdown
Ho sebelisoa ka khoebo
380+ li-models
Ha ho letšoao la metsi
Ha ho hlokahale ho ngolisoa
Mofuta:
+ GPT-5, Claude, Gemini
Tlosa PDF - AI e e fetola ho Markdown e hloekileng ea GitHub-flavored le lihlooho, lipara, lihlopha, liteko, le li-block tsa khoutu tse bolokiloeng. E sebetsa ka IBM Granite-Docling-258M (Apache 2.0). Ho potlaka + ho potlaka ho feta ho tlosa mongolo o tloaelehileng.
Ho tlosa Markdown e tsebang sebopeho… ~5-10 sec/page
Likhetho tse tsoetseng pele
Bo_lemo
Tokens e tlase.
Fumana Token e eketsehileng
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Ngola mahala
Ho sebetsana le kopo ea hau...
E fetole PDF efe kapa efe ho ea ho Markdown e hloekileng e nang le GitHub-flavored le lihlooho, liteko, li-lists, le li-code blocks tse bolokiloeng. E sebetsa ka IBM Granite-Docling. E mahala, e sa feleng, ha ho hlokahale ho ngolisoa.
Mokhoa oa ho sebelisa PDF ho Markdown
1
Ke eng eo u e kentseng?
Tlatsa mongolo, kenya faele, kapa hlalosa seo u se batlang. Ha ho hlokahale ak'haonte.
2
Tobetsa ho theha
AI ea rona e sebetsana le kopo ea hau ka metsotsoana ka ho sebelisa li-models tse ntlehali tsa open-source.
3
Tlosa & & arolelana
Kopitsa, kenya kapa arolelana litlamorao tsa hau. Haholo-holo bakeng sa ho sebelisana le batho ba bang le ho rekisa.
Senya sesebelisoa ka API
E-ba le sesebelisoa sena ka ho iketsetsa ho tloha ho kotloloho. OpenAI-compatible REST endpoint, Bearer-token auth, ha ho hlokahale SDK e eketsehileng. Litheko tsa token li lumellana le interface ea webosaeteng.
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 ho Markdown tool on: ..."}]}'Li-Tools tsa AI tse Bulehileng tse Bulehileng
PDF ho Markdown — FAQ
E tlisa PDF efe kapa efe'me AI e e fetola ho Markdown e hloekileng ea GitHub - lihlooho li lula lihloohong, li-table li lula li-table, li-lists li lula li-lists, li-code blocks li lula li-code blocks. E ea ka tsela e fetang ho tlosa mongolo o tloaelehileng; hierarchy ea sebopeho sa kopo e bolokiloe hore u ka tlosa tlhahiso e nepahetseng ho sebaka sa litokomane, pipeline ea LLM RAG, kapa index ea ho batla.
IBM Granite-Docling-258M (Apache 2.0). Mofuta o monyenyane oa ho bona ho latela o hlophisitsoeng bakeng sa ho fetola ho hlophisitsoeng ho tsebahala ho ngola - o hlasela pdftotext + o potlakile haholo + o bohlale ho feta ho sebetsana le mofuta oa puo ea ho bona ka leqephe le leng le le leng.
pdftotext ke ho tlosa ka ho lekana - lipara le li-table tse koalang ka har'a sefate sa mantsoe. Adobe Export ho Word e boloka moralo empa e hlahisa.docx + litheko tsa $ 15 / mo. Docling e boloka sebopeho sa SEMANTIC (likarolo tsa sehlooho, li-lists joalo ka li-lists, li-table tse kang li-table tsa Markdown) le li-outputs tsa LLMs tsa mofuta le lisebelisoa tsa dev li ka li ja ka bongata.
LlamaParse le li-unstructured li na le li-tiers tse mahala empa li-cap pages / khoeli'me li hloka sehokela sa API. Docling-258M e sebetsa kahare ho GPU ea rona + e na le Apache 2.0 e hlophisitsoeng ka botlalo, ha ho na ho bapisa ka leqephe, ha ho na ho ngolisoa ha sehokela. Boleng bo ts'oana le LlamaParse ka litokomane tse tloaelehileng.
E-na — liteko li khutlela joaloka liteko tsa Markdown tse nepahetseng. Liteko tse thata tsa ho arolelana / tse nang le li-colon tse ngata li kopanngoa ka ho fetesisa (e leng ho feletseng ho feletseng ho Markdown, eseng bothata ba mofuta). Bakeng sa ho nepahala ha liteko, re fana ka 'format=html' ka API e bolokang rowspan/colspan.
Granite-Docling e etsa mohato oa OCR ka boeona - e sebetsa ka li-digital tse hlahisitsoeng le li-PDF tse skewered. Scanned ka DPI e tlase (<150) e lahleheloa ke ho nepahala ha mongolo; rescan ka 200 + DPI bakeng sa litlamorao tse ntlehali.
Li-equations tse ngata tse entsoeng ka LaTeX li tsoa ka '$...$' Markdown math. Bakeng sa libuka tsa lipatlisiso tse nang le lipalo tse boima, re fana ka sesebelisoa sa ho tlosa libuka tsa thuto (Nougat) se loketseng haholo bakeng sa li-equations le li-citations.
Ka 5-10 lisegunete ka leqephe ka leng ka H200 ea rona. Tlhaloso ea leqephe la 30 ke ~ 3-5 metsotso. Mofuta o monyenyane o bolela hore li-batch tsa PDF tse nyane li na le mahala ka ho fetisisa ka letsatsi.
200 tokens ka leqephe, le 500-token ka lefatše. A 5-page contract = 1,000 tokens. A 30-page report = 6,000 tokens. The 5K daily free pool covers most typical use.
PDF - e tsoetsoeng-digital + e scanned e tšehelitsoe. Max 50 MB upload. Li-formats tse ling tsa litokomane (DOCX, EPUB, HTML, jj.) Li le ka tsela; bakeng sa hona joale upload-and-convert le sesebelisoa sa ho fetola pdf pele.
Ho sebetsa kapele, tlhahiso ea Markdown e bolokiloe (24h e sa tsejoeng / 7d e lefa ho fetisoa ha ho hokahana), PDF ea mohloli e tlosoa kapele kamora ho tlosoa. Ha e sebelisetsoe ho ithuta. /privacy/ bakeng sa melao e felletseng.
Ea - POST a multipart `faele` ho /v1/document/pdf-to-markdown /. Ho khutlela {markdown_url, lihlooho, preview, tokens, share_url}. Bearer auth (sk-free-…) fana ka 10K tokens mahala / khoeli. /api / na le mohlala curl.
U tla lekola eng ka sesebelisoa sena?