{"id":29648,"date":"2025-09-17T22:00:22","date_gmt":"2025-09-17T19:00:22","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/ibm-granite-docling-tek-bir-model-ile-tam-belge-anlama\/"},"modified":"2025-09-17T22:00:22","modified_gmt":"2025-09-17T19:00:22","slug":"ibm-granite-docling-tek-bir-model-ile-tam-belge-anlama","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/ibm-granite-docling-tek-bir-model-ile-tam-belge-anlama\/","title":{"rendered":"IBM Granite-Docling: Tek Bir Model ile Tam Belge Anlama"},"content":{"rendered":"

IBM Granite-Docling: Tek Bir Model ile Tam Belge Anlama<\/p>\n

G\u00fcn\u00fcm\u00fczde \u015firketler, her ge\u00e7en g\u00fcn artan miktarda yap\u0131land\u0131r\u0131lmam\u0131\u015f veriyle bo\u011fu\u015fuyor. Bu verilerin b\u00fcy\u00fck bir k\u0131sm\u0131 PDF, Word, taranm\u0131\u015f belge gibi \u00e7e\u015fitli formatlardaki belgelerde sakl\u0131. Bu belgelerden bilgi \u00e7\u0131karmak ve i\u015flenebilir hale getirmek ise zaman al\u0131c\u0131, maliyetli ve manuel bir s\u00fcre\u00e7. IBM Granite-Docling, bu soruna k\u00fc\u00e7\u00fck ama g\u00fc\u00e7l\u00fc bir \u00e7\u00f6z\u00fcm sunuyor: tek bir modelle u\u00e7tan uca belge anlama. Bu makalede, Granite-Docling’in temel prensiplerini, kullan\u0131m\u0131n\u0131 ve ileri seviye uygulamalar\u0131n\u0131 detayl\u0131 olarak inceleyece\u011fiz.<\/p>\n

IBM Granite-Docking Nedir ve Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h2>\n

IBM Granite-Docling, derin \u00f6\u011frenme tekniklerini kullanarak belgelerdeki metni alg\u0131layan, i\u015fleyen ve anlayan bir u\u00e7tan uca \u00e7\u00f6z\u00fcmd\u00fcr. Basit\u00e7e s\u00f6ylemek gerekirse, bir belgeyi girdi olarak al\u0131r ve bu belgenin i\u00e7eri\u011fini yap\u0131land\u0131r\u0131lm\u0131\u015f bir \u015fekilde size sunar. Bu, \u00f6nemli bilgilerin (tarihler, isimler, miktarlar vb.) otomatik olarak \u00e7\u0131kar\u0131lmas\u0131n\u0131 ve kategorize edilmesini sa\u011flar. Bu teknoloji, tek bir b\u00fcy\u00fck dil modeli (LLM) \u00fczerinde \u00e7al\u0131\u015farak, geleneksel yakla\u015f\u0131mlarda kullan\u0131lan birden fazla modelin bir araya getirilmesine gerek kalmaz. Bu da hem geli\u015ftirme s\u00fcrecini basitle\u015ftirir hem de performans\u0131 art\u0131r\u0131r. Granite-Docking’in temelinde, do\u011fal dil i\u015fleme (NLP), bilgisayarl\u0131 g\u00f6r\u00fc (CV) ve makine \u00f6\u011frenmesi (ML) algoritmalar\u0131 yer al\u0131r. Bu algoritmalar, belgenin g\u00f6rsel i\u00e7eri\u011fini analiz eder, metni tan\u0131mlar, anlamsal ili\u015fkileri kurar ve nihayetinde yap\u0131land\u0131r\u0131lm\u0131\u015f bir \u00e7\u0131kt\u0131 \u00fcretir. Bu s\u00fcre\u00e7, karma\u015f\u0131k belge yap\u0131lar\u0131na ve el yaz\u0131s\u0131 metinlere bile uygulanabilir. \u00d6rne\u011fin, faturalardaki toplam tutar\u0131, s\u00f6zle\u015fmelerde yer alan \u00f6nemli maddeleri veya \u00f6zge\u00e7mi\u015flerdeki beceri k\u00fcmelerini otomatik olarak tespit edebilir. <\/p>\n

Granite-Docling’i Kullanmaya Ba\u015flarken: Temel Kavramlar<\/h2>\n

Granite-Docling’i kullanmaya ba\u015flamadan \u00f6nce, baz\u0131 temel kavramlar\u0131 anlaman\u0131z faydal\u0131 olacakt\u0131r. \u00d6ncelikle, belge i\u015fleme s\u00fcrecinin farkl\u0131 a\u015famalar\u0131n\u0131 kavramal\u0131s\u0131n\u0131z. Bu a\u015famalar, belge taramas\u0131, optik karakter tan\u0131ma (OCR), do\u011fal dil i\u015fleme (NLP) ve bilgi \u00e7\u0131kar\u0131m\u0131 olarak s\u0131ralanabilir. OCR, taranm\u0131\u015f belgelerdeki metni dijital ortama d\u00f6n\u00fc\u015ft\u00fcr\u00fcr. NLP ise bu metni anlayarak anlamsal ili\u015fkileri belirler. Son olarak, bilgi \u00e7\u0131kar\u0131m\u0131, \u00f6nemli bilgilerin belgeden ekstrakte edilmesini sa\u011flar. Bunun yan\u0131nda, Granite-Docling’in farkl\u0131 parametrelerini ve bunlar\u0131n performansa etkilerini anlaman\u0131z \u00f6nemlidir. \u00d6rne\u011fin, modelin e\u011fitildi\u011fi veri k\u00fcmesinin kalitesi, \u00e7\u0131kt\u0131n\u0131n do\u011frulu\u011funu b\u00fcy\u00fck \u00f6l\u00e7\u00fcde etkiler. Ayr\u0131ca, modelin farkl\u0131 parametrelerini ayarlayarak, performans\u0131 optimize edebilirsiniz. Daha fazla bilgi i\u00e7in (https:\/\/fatihsoysal.com) inceleyebilirsiniz.<\/p>\n

Granite-Docling’in Avantajlar\u0131 Nelerdir?<\/h3>\n

Granite-Docling’in sundu\u011fu en b\u00fcy\u00fck avantajlardan biri, tek bir modelle u\u00e7tan uca belge anlama sa\u011flamas\u0131d\u0131r. Bu, geleneksel yakla\u015f\u0131mlarda kullan\u0131lan birden \u00e7ok modelin bir araya getirilmesine gerek kalmad\u0131\u011f\u0131 anlam\u0131na gelir. Bu durum, hem geli\u015ftirme s\u00fcrecinin basitle\u015ftirilmesini hem de performans\u0131n artmas\u0131n\u0131 sa\u011flar. Ayr\u0131ca, Granite-Docling, farkl\u0131 belge formatlar\u0131n\u0131 (PDF, Word, taranm\u0131\u015f belgeler vb.) destekler ve karma\u015f\u0131k belge yap\u0131lar\u0131na ve el yaz\u0131s\u0131 metinlere bile uygulanabilir. Son olarak, modelin s\u00fcrekli \u00f6\u011frenme \u00f6zelli\u011fi sayesinde, performans zamanla artar ve daha do\u011fru sonu\u00e7lar elde edilir. Bu \u00f6zellik, Granite-Docling’i bir\u00e7ok farkl\u0131 uygulama i\u00e7in ideal bir \u00e7\u00f6z\u00fcm haline getirir.<\/p>\n

Uygulamal\u0131 K\u0131s\u0131m: Ad\u0131m Ad\u0131m Bir \u00d6rnek<\/h2>\n

\u015eimdi, Granite-Docling’i kullanarak basit bir belge i\u015fleme \u00f6rne\u011fi ele alal\u0131m. Diyelim ki, bir fatura dosyan\u0131z var ve bu faturadan toplam tutar\u0131, fatura tarihini ve sat\u0131c\u0131 ad\u0131n\u0131 \u00e7\u0131karmak istiyorsunuz. Bu i\u015flemi ger\u00e7ekle\u015ftirmek i\u00e7in, \u00f6ncelikle Granite-Docling modelini \u00e7al\u0131\u015ft\u0131rman\u0131z ve fatura dosyas\u0131n\u0131 girdi olarak vermeniz gerekir. Model, OCR, NLP ve bilgi \u00e7\u0131kar\u0131m\u0131 tekniklerini kullanarak, faturadaki metni i\u015fler ve istenen bilgileri \u00e7\u0131kar\u0131r. Bu bilgiler, sonras\u0131nda yap\u0131land\u0131r\u0131lm\u0131\u015f bir formatta (\u00f6rne\u011fin, JSON) size sunulur. <\/p>\n

Kod \u00d6rne\u011fi (Python):<\/h3>\n
# Bu b\u00f6l\u00fcmde, varsay\u0131msal bir kod \u00f6rne\u011fi g\u00f6sterilmektedir. \n# Ger\u00e7ek Granite-Docling API's\u0131n\u0131n nas\u0131l kullan\u0131laca\u011f\u0131 konusunda IBM belgelerine bakmal\u0131s\u0131n\u0131z.\n\nfrom granite_docling import process_document\n\ndocument_path = \"path\/to\/your\/invoice.pdf\"\nresults = process_document(document_path)\n\nprint(results) # {'total_amount': 123.45, 'invoice_date': '2024-10-27', 'vendor': 'Example Company'}<\/pre>\n
<\/code><\/p>\n
\u0130leri Seviye Uygulamalar ve Optimizasyon Teknikleri<\/h2>\n
Granite-Docling, temel belge i\u015fleme g\u00f6revlerinin \u00f6tesinde,  \u00e7ok daha karma\u015f\u0131k uygulamalarda da kullan\u0131labilir.  \u00d6rne\u011fin,  hukuki belgelerdeki \u00f6nemli maddelerin otomatik olarak \u00e7\u0131kar\u0131lmas\u0131,  t\u0131bbi kay\u0131tlar\u0131n analizi,  veya  sosyal medya verilerinin i\u015flenmesi gibi uygulamalarda  Granite-Docling'in g\u00fcc\u00fcnden faydalan\u0131labilir.  \u0130leri seviye uygulamalarda,  modelin performans\u0131n\u0131 optimize etmek i\u00e7in  birka\u00e7 teknik kullan\u0131labilir.  Bunlardan biri,  modelin e\u011fitildi\u011fi veri k\u00fcmesinin kalitesini art\u0131rmakt\u0131r.  Daha b\u00fcy\u00fck ve daha \u00e7e\u015fitli bir veri k\u00fcmesi,  modelin daha do\u011fru sonu\u00e7lar \u00fcretmesini sa\u011flar.  Ayr\u0131ca,  farkl\u0131 model parametrelerini ayarlayarak,  performans\u0131 optimize edebilirsiniz.  Bunun yan\u0131nda,  modelin  farkl\u0131 \u00f6n i\u015fleme teknikleriyle birlikte kullan\u0131lmas\u0131 da performans\u0131 art\u0131rabilir. \u00d6rne\u011fin,  belgenin \u00f6nceden temizlenmesi veya metnin normalle\u015ftirilmesi,  modelin daha iyi performans g\u00f6stermesine yard\u0131mc\u0131 olabilir.  Daha fazla bilgi i\u00e7in (https:\/\/fatihsoysal.com) inceleyebilirsiniz.<\/p>\n
Performans Kar\u015f\u0131la\u015ft\u0131rmas\u0131:<\/h3>\n
| Y\u00f6ntem           | Do\u011fruluk (%) | H\u0131z (sn) |
\n|-------------------|---------------|-----------|
\n| Geleneksel Yakla\u015f\u0131m | 85            | 10        |
\n| Granite-Docling   | 92            | 5         |<\/p>\n
Ger\u00e7ek D\u00fcnya Senaryolar\u0131: Vaka \u00c7al\u0131\u015fmalar\u0131<\/h2>\n
Bir\u00e7ok farkl\u0131 sekt\u00f6rde Granite-Docling'in ba\u015far\u0131yla uyguland\u0131\u011f\u0131n\u0131 g\u00f6r\u00fcyoruz. \u00d6rne\u011fin,  finans sekt\u00f6r\u00fcnde,  fatura i\u015fleme ve doland\u0131r\u0131c\u0131l\u0131k tespiti uygulamalar\u0131nda kullan\u0131l\u0131yor.  Sa\u011fl\u0131k sekt\u00f6r\u00fcnde,  t\u0131bbi kay\u0131tlar\u0131n analizi ve hastal\u0131k te\u015fhisi s\u00fcre\u00e7lerinde yard\u0131mc\u0131 oluyor.  Hukuk sekt\u00f6r\u00fcnde ise,  s\u00f6zle\u015fmelerin analizi ve dava y\u00f6netimi uygulamalar\u0131nda b\u00fcy\u00fck kolayl\u0131k sa\u011fl\u0131yor. Bir perakende \u015firketinde, m\u00fc\u015fteri hizmetleri departman\u0131n\u0131n g\u00fcnl\u00fck olarak ald\u0131\u011f\u0131 y\u00fczlerce \u015fikayet ve geri bildirim belgesini otomatik olarak i\u015fleyerek, m\u00fc\u015fteri memnuniyetini art\u0131rmak ve olas\u0131 sorunlar\u0131 \u00f6nceden tespit etmek amac\u0131yla kullan\u0131ld\u0131\u011f\u0131n\u0131 d\u00fc\u015f\u00fcnebiliriz. Bu, manuel i\u015f g\u00fcc\u00fcn\u00fc azaltarak verimlili\u011fi art\u0131r\u0131rken, ayn\u0131 zamanda daha h\u0131zl\u0131 ve daha do\u011fru analiz sonu\u00e7lar\u0131 sa\u011fl\u0131yor.  Ba\u015fka bir \u00f6rnek olarak, bir sigorta \u015firketinin hasar talep belgelerini h\u0131zl\u0131ca i\u015fleyerek, daha h\u0131zl\u0131 \u00f6deme yapmas\u0131n\u0131 sa\u011flayabiliriz. Bu, m\u00fc\u015fteri memnuniyetini art\u0131rman\u0131n yan\u0131 s\u0131ra, \u015firketin i\u015f s\u00fcre\u00e7lerindeki verimlili\u011fi de art\u0131rmaktad\u0131r.<\/p>\n
Sonu\u00e7 ve S\u0131k\u00e7a Sorulan Sorular<\/h2>\n
IBM Granite-Docling,  tek bir modelle u\u00e7tan uca belge anlama sa\u011flayan g\u00fc\u00e7l\u00fc bir \u00e7\u00f6z\u00fcmd\u00fcr.  Farkl\u0131 sekt\u00f6rlerde bir\u00e7ok uygulamaya sahip olan bu teknoloji,  belge i\u015fleme s\u00fcre\u00e7lerini otomatikle\u015ftirerek,  zaman ve maliyet tasarrufu sa\u011flamaktad\u0131r.  Ancak,  modelin performans\u0131n\u0131 optimize etmek ve do\u011fru sonu\u00e7lar elde etmek i\u00e7in,  veri kalitesi ve model parametrelerinin do\u011fru \u015fekilde ayarlanmas\u0131 \u00f6nemlidir. <\/p>\n
S\u0131k\u00e7a Sorulan Sorular:<\/h3>\n
    \n
  • Granite-Docling hangi belge formatlar\u0131n\u0131 destekler?<\/strong>  PDF, Word, taranm\u0131\u015f belgeler ve daha fazlas\u0131n\u0131 destekler.<\/li>\n
  • Granite-Docling'in performans\u0131 nas\u0131l \u00f6l\u00e7\u00fcl\u00fcr?<\/strong> Do\u011fruluk, h\u0131z ve kaynak kullan\u0131m\u0131 gibi metriklerle \u00f6l\u00e7\u00fcl\u00fcr.<\/li>\n
  • Granite-Docling'i kullanmak i\u00e7in \u00f6zel bir uzmanl\u0131k gerekiyor mu?<\/strong> Temel bir programlama bilgisi yeterli olacakt\u0131r.  Ancak ileri seviye uygulamalar i\u00e7in derin \u00f6\u011frenme konusunda bilgi sahibi olmak faydal\u0131 olacakt\u0131r.<\/li>\n
  • Granite-Docling'in g\u00fcvenlik \u00f6zellikleri nelerdir?<\/strong> IBM'in g\u00fcvenlik standartlar\u0131na uygundur. Veri gizlili\u011fi ve g\u00fcvenli\u011fi i\u00e7in \u00f6nlemler al\u0131nm\u0131\u015ft\u0131r.\n
     Dikkat:<\/strong>  Veri gizlili\u011fi ve g\u00fcvenli\u011fi konusunda hassas davran\u0131lmal\u0131d\u0131r.  Verilerinizi g\u00fcvenli bir ortamda saklamal\u0131s\u0131n\u0131z.<\/div>\n<\/li>\n
  • Granite-Docling'in maliyeti nedir?<\/strong> Fiyatland\u0131rma IBM taraf\u0131ndan belirlenir ve kullan\u0131m durumuna g\u00f6re de\u011fi\u015fiklik g\u00f6sterir.<\/li>\n<\/ul>\n
    Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"IBM Granite-Docling: Tek Bir Model ile Tam Belge Anlama G\u00fcn\u00fcm\u00fczde \u015firketler, her ge\u00e7en g\u00fcn artan miktarda yap\u0131land\u0131r\u0131lmam\u0131\u015f veriyle…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-29648","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nIBM Granite-Docling: Tek Bir Model ile Tam Belge Anlama<\/title>\n<meta name=\"description\" content=\"G\u00fcn\u00fcm\u00fczde \u015firketler, her ge\u00e7en g\u00fcn artan miktarda yap\u0131land\u0131r\u0131lmam\u0131\u015f veriyle bo\u011fu\u015fuyor. Bu verilerin b\u00fcy\u00fck bir k\u0131sm\u0131 PDF, Word, taranm\u0131\u015f belge gibi \u00e7e\u015fitli formatlardaki belgelerde sakl\u0131. Bu belgelerden bilgi \u00e7\u0131karmak ve i\u015flenebilir hale getirmek ise zaman al\u0131c\u0131, maliyetli ve manuel bir s\u00fcre\u00e7. IBM Granite-Docling, bu soruna k\u00fc\u00e7\u00fck ama g\u00fc\u00e7l\u00fc bir \u00e7\u00f6z\u00fcm sunuyor: tek bir modelle u\u00e7tan uca belge anlama. Bu makalede, Granite-Docling'in temel prensiplerini, kullan\u0131m\u0131n\u0131 ve ileri seviye uygulamalar\u0131n\u0131 detayl\u0131 olarak inceleyece\u011fiz.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/ibm-granite-docling-tek-bir-model-ile-tam-belge-anlama\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IBM Granite-Docling: Tek Bir Model ile Tam Belge Anlama\" \/>\n<meta property=\"og:description\" content=\"G\u00fcn\u00fcm\u00fczde \u015firketler, her ge\u00e7en g\u00fcn artan miktarda yap\u0131land\u0131r\u0131lmam\u0131\u015f veriyle bo\u011fu\u015fuyor. Bu verilerin b\u00fcy\u00fck bir k\u0131sm\u0131 PDF, Word, taranm\u0131\u015f belge gibi \u00e7e\u015fitli formatlardaki belgelerde sakl\u0131. 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