I-Generative Data Intelligence

Isoftware eyi-10 ehamba phambili ye-Logistics OCR ngo-2024 (Amathuluzi Amahhala Nakhokhelwayo)

Usuku:

Isofthiwe ye-Optical character recognition (OCR) isiza ukuguqula amafomethi wedokhumenti angahleleki njengama-PDF, izithombe, noma amadokhumenti ephepha abe amafomethi afundeka ngomshini ahlelekayo futhi asesheke.

Izinhlelo zokusebenza ze-OCR zivame ukusetshenziselwa ukuthwebula umbhalo kuma-PDF nasezithombeni futhi ziguqule umbhalo ube amafomethi ahlelekayo njengeZwi, i-Excel, noma ifayela lombhalo ongenalutho. I-OCR iphinde isetshenziselwe ukwenza amafayela namadokhumenti abe yidijithali ukuze azenze zisesheke.

OCR isofthiwe esebenzisa amandla e-AI/ML futhi ingasiza ekuthwebuleni idatha ngokuzenzakalelayo kumadokhumenti/izithombe eziskeniwe. Ukucutshungulwa kwedokhumenti okusekelwe ku-AI ingakwazi ukufaka idatha kudijithali ngamafomethi afanelekile, ahlelekayo alingana nokugeleza komsebenzi wenhlangano.

Logistics is a critical function in the supply chain, involving the planning, execution, and control of the movement of goods and materials from one location to another. Logistics processes have traditionally been manual and paper-based, leading to inefficiencies, errors, and delays in operations. However, with the advent of new technologies such as automated retrieval systems, robotic process automation(RPA), intelligent document processing and OCR (optical character recognition), logistics automation is becoming increasingly feasible.

Logistics OCR software should be able to automate the ukuqhutshwa komsebenzi wokucubungula amadokhumenti of documents such as Purchase Orders, Freight Invoices, Shipping Labels, Bills of Lading, etc. to reduce the manual workload, eliminate errors, and save time.

Here are some of the best Logistics OCR software in 2024. We will also check out some free OCR software.


Yenza ngokuzenzakalela ukufakwa kwedatha okwenziwa ngesandla usebenzisa isofthiwe ye-AI-based OCR ye-Nanonet. Thatha idatha kumadokhumenti ngokushesha futhi wenze ngokuzenzakalelayo ukuhamba komsebenzi kwedatha. Nciphisa izikhathi zokushintsha futhi ukhiphe umzamo owenziwa mathupha.


What is OCR in Logistics?

One of the pivotal hurdles faced by the logistics sector revolves around the management of logistics documents. Purchase orders, invoices, bills of lading, and various other paperwork demand meticulous attention, yet manual processing can be time-consuming, error-prone, and resource-intensive. In this labyrinth of paperwork, the need for a transformative solution is undeniable. One solution is to digitize data from documents using specialized optical character recognition (OCR) software.

I-OCR iphinde isetshenziswe kwezinye izimo ezihlukahlukene zokusetshenziswa ezifana ukukhipha amatafula kuma-PDF, ukukhipha umbhalo ezithombeni, noma ikhipha umbhalo kuma-PDF noma amanye amafomethi angahleleki.

Today, OCR software is used for automated data entry, pattern recognition, text-to-speech services, indexing documents for search engines, cognitive computing, text mining, key data, and machine translation among various other applications. These tools can convert any scanned documents, Ama-PDF noma izinhlobo zezithombe ku-xml, xlsx, or csv files.

The Best Logistics OCR Software in 2024

Let’s look at some of the best Logistics OCR software available on the market.

1. Ama-Nanonet

Nanonets provides an AI-powered OCR solution for logistics organizations that can accurately extract data from Purchase orders, invoices, and bills of lading, and convert them into structured digital data. It can help logistics organizations improve the accuracy of patient data and reduce manual data entry errors.

I-Nanonets isebenzisa i-OCR ethuthukisiwe, ukucubungula isithombe sokufunda ngomshini, kanye Nokufunda Okujulile ku khipha ulwazi olufanele kudatha engahlelekile. It is fast, accurate, easy to use, allows users to build custom OCR models from scratch and has some neat Zapier integrations. Digitize documents, extract data-fields, and integrate with your everyday apps via APIs in a simple, intuitive interface.

[okuqukethwe okuhlanganisiwe]

Isingeniso se-Nanonets

Ngabe amaNanonets ahluka kanjani njengesoftware ye-OCR?

buhle:

  • UI yesimanje
  • Iphatha imiqulu emikhulu yamadokhumenti
  • Kwenziwe ngentengo enengqondo
  • Kulula ukusetshenziswa
  • Ukukhipha i-zero-shot noma i-zero-training data
  • Ukuthwebula idatha ngokuqonda – okuholela ekungeneleleni okuncane
  • Akudingi ithimba langaphakathi lonjiniyela
  • Ama-algorithms/amamodeli angaqeqeshwa/aqeqeshwe kabusha
  • Amadokhumenti amahle nokusekelwa
  • Izinketho eziningi zokwenza ngokwezifiso
  • Ukukhetha okubanzi kwezinketho zokuhlanganisa
  • Isebenza ngezilimi okungezona isiNgisi noma eziningi
  • Ukuhlanganiswa kwezindlela ezi-2 okungenamthungo nesoftware yokubala okuningi
  • I-Great OCR API yonjiniyela

bawo:

  • I-UI yokuthwebula ithebula ingaba ngcono

Qalisa ngezikhiqizo ze-OCR eziqeqeshwe ngaphambilini ze-Nanonets noma yakha eyakho amamodeli we-OCR ngokwezifiso. Ungakwazi futhi hlela idemo ukuze ufunde kabanzi nge-OCR yethu sebenzisa amacala!

Ukubuyekezwa Kwekhasimende Le-Nanonets
Ukubuyekezwa Kwekhasimende Le-Nanonets


2. I-ABBYY Flexicapture

ABBYY FlexiCapture is an OCR software that can help insurance firms digitize paper-based purchase orders, invoices, and bills of lading. The software can extract data from various document types, including proposal forms, and customer documents, and convert them into structured digital data.

[okuqukethwe okuhlanganisiwe]

I-ABBYY FlexiCapture yama-invoyisi - Ividiyo yedemo

buhle:

  • Ibona izithombe kahle kakhulu
  • Kulula ukugcina umphumela wekhophi eqinile ohlelweni
  • Ihlanganisa kahle nezinhlelo ze-ERP
  • I-automates ukukhishwa kwedatha kumadokhumenti (ngezinga elithile)

bawo:

  • Ukusetha kokuqala kungase kube nzima futhi kube nzima
  • Ukucubungula okuzenzakalelayo kwama-invoyisi akusethiwe
  • Azikho izifanekiso esezilungile
  • Kunzima ukwenza ngendlela oyifisayo
  • Azikho izinsiza ezitholakalayo
  • Kungaba nokuhlanganiswa okungcono nezixazululo ze-RPA
  • Ukunemba okuphansi ngezithombe/imibhalo enesinqumo esiphansi
  • Ukuqinisekiswa kwenqwaba kuyaphakanyiswa ngisho noma kukhona iphutha esigabeni esithile
  • Imilayezo yephutha yento yomugqa iyavela ngisho nasezintweni okufanele zeqiwe
  • I-RESTful API ayitholakali kunguqulo ye-on-prem
  • Hhayi a Isoftware ye-Mac OCR

3. I-ABBYY Finereader

ABBYY FineReader I-PDF iyi-OCR isofthiwe esekela ukuhlela ifayela le-PDF. Uhlelo luvumela ukuguqulwa kwemibhalo yesithombe ibe amafomethi we-elekthronikhi ahlelekayo.

[okuqukethwe okuhlanganisiwe]

Icubungula Amadokhumenti nge-ABBYY FineReader Server - Ividiyo Yedemo

buhle:

  • Isihleli se-OCR esisebenziseka kalula sekhibhodi ukuze silungiswe mathupha
  • Isixhumi esibonakalayo esicace ngokwedlulele
  • Ithekelisa kumafomethi amaningi
  • Isici esiyingqayizivele sokuqhathanisa idokhumenti

bawo:

  • Ayinayo inkomba yombhalo ogcwele yokusesha okusheshayo
  • Idinga ijika lokufunda
  • Intengo ingaba yimbi
  • Ukungakwazi ukubuka umlando wezinguquko zedokhumenti
  • Ayikwazi ukuhlanganisa amafayela amaningana ibe elilodwa
  • Kungase kudinge ukucutshungulwa okuthile ngemuva
  • I-UI ingaba namandla ekuqaleni
  • Iyahamba kancane ukucubungula amafayela amakhulu

Udinga isoftware ye-OCR ye isithombe sibe umbhalo or Ukukhishwa kwedatha ye-PDF? Ibheke ukuguqula I-PDF to Excel, noma I-PDF ibe umbhalo? Bheka i-Nanonets isebenza!


4. Kofax Omnipage

I-Omnipage inamandla Idatha ye-OCR PDF isofthiwe ekwazi ukuphatha okuzenzakalelayo kwemisebenzi ye-OCR yebhizinisi enevolumu ephezulu. Leli thuluzi lisebenza ngokukhethekile ekukhishweni kwethebula, ukufanisa into yomugqa, kanye nokukhipha okuhlakaniphile.

buhle:

  • Inesethi eqinile yamathuluzi okuthuthukisa izithombe
  • Inembe kakhulu

bawo:


5. I-IBM Datacap

I-Datacap yenza kube lula ukuthwebula, ukuqashelwa kanye nokuhlukaniswa kwemibhalo yebhizinisi ukuze kukhishwe ulwazi olubalulekile kuwo. I-Datacap inenjini ye-OCR eqinile, imisebenzi eminingi kanye nemithetho engenziwa ngokwezifiso. Isebenza eziteshini eziningi, okuhlanganisa izikena, amadivaysi eselula, ama-peripheral emisebenzi eminingi kanye nefeksi.

buhle:

  • Ilungiselela izinhlelo zokusebenza eziyinkimbinkimbi ekuthathweni kwedatha
  • Indlela yokuskena
  • Kulula ukusetshenziswa

bawo:

  • Ukusekelwa kwe-inthanethi okuncane kakhulu
  • I-UI ingaba enembile
  • Ukusetha kungase kube nzima
  • Slow
  • Ukudala ukugeleza okwenziwe ngendlela oyifisayo akuqondile
  • Ukwenza iqoqo kuthatha isikhathi

Qala ukusebenzisa I-Nanonet ye-Automation. Zama amamodeli ahlukahlukene we-OCR noma cela i-demo namuhla. Thola ukuthi amacala okusetshenziswa kwe-Nanonets angasebenza kanjani emkhiqizweni wakho.


6. I-Google Document AI

Esinye sezixazululo ku-Google Cloud AI suite, i Idokhumenti AI (I-DocaI) Kuyinto ukucutshungulwa kwedokhumenti ikhonsoli esebenzisa ukufunda komshini ukuze ihlukanise ngokuzenzakalelayo, ikhiphe, inothise idatha futhi ivule imininingwane ngaphakathi kwamadokhumenti.

buhle:

  • Kulula ukusetha
  • Ihlanganisa kahle kakhulu nezinye izinsiza ze-Google
  • Ukugcinwa kolwazi
  • Speed

bawo:

  • Amamojula e-AI awanawo amaphepha afanele
  • Ukwenza ngendlela oyifisayo amamojula akhona kanye nemitapo yolwazi kunzima
  • Ayifanele iPython noma ezinye izilimi zokubhala ngekhodi
  • Amadokhumenti e-API aphelelwe yisikhathi
  • Expensive
  • Ayifanele ukuthunyelwa kwamafu ayingxube
  • Ayifanele ukusetshenziswa kwezimo ezidinga ama-algorithms we-AI wangokwezifiso

Umbhalo we-AWS ikhipha ngokuzenzakalelayo umbhalo nenye idatha kumadokhumenti askeniwe kusetshenziswa ukufunda ngomshini ne-OCR. Iphinde isetshenziselwe ukukhomba, ukuqonda, kanye nokukhipha idatha kumafomu namathebula. Ukuze uthole ulwazi olwengeziwe bheka lokhu ukuhlukaniswa okuningiliziwe kwe-AWS Texttract.

buhle:

  • Imodeli yokukhokha ngokusetshenziswa ngakunye
  • Kulula ukusetshenziswa

bawo:

  • Ayikwazi ukuqeqeshwa
  • Ukushintsha ukunemba
  • Ayihloselwe amadokhumenti abhalwe ngesandla

Ngifuna khipha idatha kusuka ku-PDF imibhalo, guqula ithebula le-PDF libe yi-Excel or ngokuzenzakalela ukukhishwa kwetafula? Bheka i-Nanonets I-PDF scraper or Umhlahleli we-PDF ukuklebhula idatha ye-PDF noma hlaziya ama-PDF esikalini!


8. Docparser

I-Docparser iyi-cloud-based ukucutshungulwa kwedokhumenti kanye nesofthiwe ye-OCR engakwazi ukuzenzela imisebenzi enenani eliphansi nokugeleza komsebenzi kwamabhizinisi.

buhle:

  • Ukusetha okulula
  • Ukuhlanganiswa kwe-Zapier

bawo:

  • Ama-webhooks kwesinye isikhathi ayahluleka
  • Kudinga ukuqeqeshwa okuthile ukuze kuthathwe imithetho yokudlulisa
  • Azikho izifanekiso ezanele
  • I-OCR yendawo approach – ayikwazi ukuphatha izifanekiso ezingaziwa
  • I-UI ingaba ngcono
  • Iyashesha ukulayisha amakhasi
  • Amadokhumenti angaba ngcono

9. I-Adobe Acrobat DC

I-Adobe ihlinzeka ngomhleli we-PDF ophelele ngokusebenza kwe-OCR eyakhelwe ngaphakathi.

buhle:

  • Ukuzinza/ukuhambisana.
  • Kulula ukusetshenziswa

bawo:

  • Expensive
  • Akuyona isofthiwe ye-OCR ekhethekile
  • Kunzima ohlelweni
  • Kuthatha isikhala esiningi ku-hard disk
  • Kunzima ukuhlanganisa nezinsizakalo ezifana ne-Sharepoint noma iDropbox
  • Idinga ilayisense ye-Adobe Creative Cloud.

10. Klippa

I-Klippa ihlinzeka ngokuzenzakalelayo kokuphathwa kwemibhalo, ukucutshungulwa, ukuhlukaniswa kanye nezixazululo zokukhipha idatha ukuze wenze imibhalo yephepha ibe yidijithali enhlanganweni yakho.

buhle:

  • Ukusetha okusheshayo
  • Ukusekelwa okuhle
  • I-API enhle yonjiniyela
  • Amadokhumenti e-API acacile futhi amafushane
  • Ixhuma kahle nezinhlelo zokubala
  • Intengo yokuncintisana
  • Ukuhlanganiswa

bawo:

  • Ukuqashelwa kwe-OCR kungaba ngcono
  • Ukwenziwa ngendlela oyifisayo kwesifanekiso
  • Ukuhlelwa ngokwezifiso kwelebula elimhlophe
  • Ukulungiswa kwenqwaba akusekelwe
  • I-VAT ngokuvamile ayivezwa ngendlela efanele
  • Uhlelo lokusebenza luphahlazeka njalo
  • Ayikwazi ukuqeqesha imodeli ye-OCR
  • Inqubo yokukhetha ayiqondile njengoba kunezinketho eziningi

Ama-Nanonet I-OCR API inokuningi ezithakazelisayo sebenzisa amacala ezingase zithuthukise ukusebenza kwebhizinisi lakho, zonge izindleko futhi zikhulise ukukhula. Thola ukuthi amacala okusetshenziswa kwe-Nanonets angasebenza kanjani emkhiqizweni wakho.


Okunye okubalula okuphawulekayo kufaka phakathi UShifi, I-Readiris, Infrrd, URossum & I-Hypatos. Bheka futhi okuholayo ezinye izindlela zeNanonets.

Nakhu ukuqhathanisa okusheshayo kwayo yonke isoftware ye-OCR ebhalwe ngenhla kuzo zonke izici ezibalulekile zesoftware ye-OCR namapharamitha:

Insurance OCR Software Comparison
Insurance OCR Software Comparison

Why is Nanonets the most complete Logistics OCR software?

Isoftware ye-Nanonets OCR kulula futhi kuyavumelana nezimo ukusetha, idinga cishe usuku olungu-1. I ehlakaniphile yesikhulumi esizenzakalelayo izibambo idatha engahleliwe ngaphandle kobunzima obuningi futhi i-AI nayo iyaphatha izithiyo zedatha ezivamile kalula.

The benefits of using Nanonets OCR in logistics go just beyond better accuracy, experience, and scalability.

  1. Ukuthwebula idatha nokufakwa – Nanonets OCR can be used to accurately capture data from Purchase Orders, Freight Invoices, Shipping Labels, and Bills of Lading within seconds. The extracted data can directly be connected to any logistics management software, reducing the need for manual data entry and improving accuracy.
  2. Amadokhumenti nokugcinwa – Nanonets OCR can easily create digital and editable copies of all types of shipping documents. These documents can then be easily stored and retrieved whenever required.
  3. Ikhwalithi yokulawula – Nanonets OCR can provide multiple approval steps before a document is ingested into the system or sent for approval. This helps in identifying errors early and reducing the resources and costs required for rework.

Is there any free Insurance OCR software?

Ngaphandle kwezixazululo ze-OCR ezisezingeni eliphakeme ezishiwo ngenhla, kunesoftware yamahhala ye-OCR eyenza umsebenzi ngezinga elithile. Isebenzisa izinjini ze-OCR zomthombo ovulekile (njengeTesseract), lezi zixazululo zamahhala zisiza ukuguqula izithombe, Ama-PDF, ama-TIFF, noma amadokhumenti askeniwe abe amafomethi ombhalo wedijithali ahlelekayo. Nakuba bengase bangakwazi ukucubungula amarekhodi ezokwelapha ayinkimbinkimbi, noma imibhalo yomshwalense esikalini, anele ukukhipha umbhalo kumadokhumenti alula ngokufometha okuqondile.

Lezi zixazululo zamahhala ze-OCR zingafika njengezinhlelo zokusebenza ezisekelwe kuwebhu, isofthiwe ezimele edinga ukufakwa ezisekelweni ezihlukahlukene, noma njengesici eseceleni kusevisi ephelele yokuhlela amadokhumenti. Sicela uqaphele ukuthi isofthiwe yamahhala ye-OCR ngokuvamile iyehluleka ukucubungula amadokhumenti abhalwe ngesandla, amathebula amakholomu amaningi, izinto zomugqa omude, noma izithombe/izikena zekhwalithi ephansi.

Nazi ezinye zamahhala ukuqashelwa kohlamvu lombala amathuluzi ongawacabangela:


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