Document processing made easy with this document parsing REST API and Python SDK

Extract data from over than 40 popular document formats. Parse documents applying a template in a batch process.

  • GroupDocs.Parser Cloud for cURL
  • GroupDocs.Parser Cloud SDK for .NET
  • GroupDocs.Parser Cloud SDK for Java
  • GroupDocs.Parser Cloud SDK for PHP
  • GroupDocs.Parser Cloud SDK for Ruby
  • GroupDocs.Parser Cloud SDK for Node.js
Start Free Trial

GroupDocs.Parser Cloud for Python allows to parse data from over 50 popular document types. Text extraction, image extraction, parsing data by template are most valuable features of GroupDocs.Parser and available in our Cloud REST API service. With our SDK it is possible to solve many document processing automation tasks and extract data easily just applying a predefined template. Along with the regular documents, you can use the supported features on password protected files and containers like ZIP archives, OST/PST mail data files, eBooks, markups, and PDF portfolios in your Python applications.

Sık Sorulan Sorular

I want to create my own Python application that can parse files online?

Check our Cloud SDKs for Python at GitHub if you are looking for the source code to parse files in the Cloud.

Can I try GroupDocs.Parser REST APIs on Python for free?

You can try GroupDocs.Parser Low-Code Python APIs without any limitations.

Gizli dosyalarımı hiçbir yere yüklemek istemiyorum? Seçeneklerim nelerdir?

GroupDocs.Parser Cloud is also available as Docker image which can be used to self-host the service. Or you may build your own services using GroupDocs.Parser High-code APIs which currently drive both our Free Apps and REST APIs.

Document Parser REST API Features

Parse PDF, word processing documents, spreadsheets & presentations

Parse Microsoft Word, Excel, PowerPoint and OpenDocument template files

Parse Macro-Enabled document & templates for MS Word, Excel & PowerPoint

Extract text content from the whole document

Extract text and images from specific pages

Extract formatted text by setting extraction mode

Extract text from the documents in ZIP archives or Emails

Retrieve documents from Emails, PDF portfolios & MS Outlook storages

Get document page count and other information

Extract Data from a Document applying a template

GroupDocs.Parser Cloud API, allows to extract data from documents by a template. You may define a template for your typical documents such as invoices, receipts, reports and applying the template you can easily extract data for further processing. Following example shows how to extract data by template.

Extract data from documents by template - Python

# For complete examples and data files, please go to https://github.com/groupdocs-parser-cloud/groupdocs-parser-cloud-python-samples
import groupdocs_parser_cloud

app_sid = "XXXX-XXXX-XXXX-XXXX" # Get AppKey and AppSID from https://dashboard.groupdocs.cloud
app_key = "XXXXXXXXXXXXXXXX" # Get AppKey and AppSID from https://dashboard.groupdocs.cloud

parseApi = groupdocs_parser_cloud.ParseApi.from_keys(app_sid, app_key)

options = groupdocs_parser_cloud.ParseOptions()
options.file_info = groupdocs_parser_cloud.FileInfo()
options.file_info.file_path = "words-processing/docx/companies.docx"
options.template_path = "templates/companies.json"

request = groupdocs_parser_cloud.ParseRequest(options)
result = parseApi.parse(request)
    ```

Extract images from Documents using GroupDocs.Parser Free App

XLSXXHTMLOTSPPTXBZ2XLSMDOCMEMLXEMLONEPPSMPNGODPGZPOTXJP2TXTPPTPPSXXLAMJPGDOTMXLSBCHMPDFPPTMXLABMPXMLZIPTARPPSMHTMLEPUBODSPOTXLTMDOTOTPFB2XLSOSTRARPOTMTIFJPEGPSTGIFMDDOCTIFFODTHTMLDOTXOTTMSGDOCXRTFXLTXCSVXLT

Extract images from Documents using GroupDocs.Parser Free App

GZCHMHTMLJPEGEMLXDOCXMHTMLXLSTARTXTPDFPOTMZIPPPTODPPOTODSXLTMEPUBXLSXCSVBMPDOCDOTMPPSXXLATIFFDOTPPTXOTPJPGPPSXLSMDOTXXHTMLRTFODTOTTBZ2MDPOTXXLSBPSTOTSOSTXLTXTIFEMLRARPPSMGIFPNGONEMSGFB2PPTMXLTXLAMDOCMJP2XML

Support and Learning Resources

GroupDocs.Parser Cloud also offers individual document parsing SDKs for other languages as listed below:

  Türkçe