ByteScout Cloud API Server - Document Parser API - Python - Parse From Uploaded File - ByteScout

ByteScout Cloud API Server – Document Parser API – Python – Parse From Uploaded File

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How to parse from uploaded file for document parser API in Python with ByteScout Cloud API Server

Step By Step Instructions on how to parse from uploaded file for document parser API in Python

Quick guide:Learn how to parse from uploaded file in Python. ByteScout Cloud API Server helps with document parser API in Python. ByteScout Cloud API Server is the ready to deploy Web API Server that can be deployed in less than thirty minutes into your own in-house Windows server (no Internet connnection is required to process data!) or into private cloud server. Can store data on in-house local server based storage or in Amazon AWS S3 bucket. Processing data solely on the server using built-in ByteScout powered engine, no cloud services are used to process your data!.

Python code snippet like this for ByteScout Cloud API Server works best when you need to quickly implement document parser API in your Python application. This Python sample code can be used by copying and pasting into your project. Once done,just compile your project and click Run. Further improvement of the code will make it more robust.

Our website provides free trial version of ByteScout Cloud API Server that gives source code samples to assist with your Python project.

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MultiPageTable-template1.yml
      
--- # Template that demonstrates parsing of multi-page table using only # regular expressions for the table start, end, and rows. # If regular expression cannot be written for every table row (for example, # if the table contains empty cells), try the second method demonstrated # in 'MultiPageTable-template2.yml' template. templateVersion: 2 templatePriority: 0 sourceId: Multipage Table Test detectionRules: keywords: - Sample document with multi-page table fields: total: expression: TOTAL {{DECIMAL}} tables: - name: table1 start: # regular expression to find the table start in document expression: Item\s+Description\s+Price\s+Qty\s+Extended Price end: # regular expression to find the table end in document expression: TOTAL\s+\d+\.\d\d row: # regular expression to find table rows expression: '^\s*(?<itemNo>\d+)\s+(?<description>.+?)\s+(?<price>\d+\.\d\d)\s+(?<qty>\d+)\s+(?<extPrice>\d+\.\d\d)' columns: - name: itemNo type: integer - name: description type: string - name: price type: decimal - name: qty type: integer - name: extPrice type: decimal multipage: true

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ParseFromUploadedFile.py
      
import os import requests # pip install requests # Please NOTE: In this sample we're assuming Cloud Api Server is hosted at "https://localhost". # If it's not then please replace this with with your hosting url. # Base URL for PDF.co Web API requests BASE_URL = "https://localhost" # Source PDF file SourceFile = ".\\MultiPageTable.pdf" # Destination JSON file name DestinationFile = ".\\result.json" # Template text. Use Document Parser SDK (https://bytescout.com/products/developer/documentparsersdk/index.html) # to create templates. # Read template from file: file_read = open(".\\MultiPageTable-template1.yml", mode='r', encoding="utf-8",errors="ignore") Template = file_read.read() file_read.close() def main(args = None): uploadedFileUrl = uploadFile(SourceFile) if (uploadedFileUrl != None): PerformDocumentParser(uploadedFileUrl, Template, DestinationFile) def PerformDocumentParser(uploadedFileUrl, template, destinationFile): # Content data = { 'url': uploadedFileUrl, 'template': template } # Prepare URL for 'Document Parser' API request url = "{}/pdf/documentparser".format(BASE_URL) # Execute request and get response as JSON response = requests.post(url, data= data) if (response.status_code == 200): json = response.json() if json["error"] == False: # Get URL of result file resultFileUrl = json["url"] # Download result file r = requests.get(resultFileUrl, stream=True) if (r.status_code == 200): with open(destinationFile, 'wb') as file: for chunk in r: file.write(chunk) print(f"Result file saved as \"{destinationFile}\" file.") else: print(f"Request error: {response.status_code} {response.reason}") else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") def uploadFile(fileName): """Uploads file to the cloud""" # 1. RETRIEVE PRESIGNED URL TO UPLOAD FILE. # Prepare URL for 'Get Presigned URL' API request url = "{}/file/upload/get-presigned-url?contenttype=application/octet-stream&name={}".format( BASE_URL, os.path.basename(fileName)) # Execute request and get response as JSON response = requests.get(url) if (response.status_code == 200): json = response.json() if json["error"] == False: # URL to use for file upload uploadUrl = json["presignedUrl"] # URL for future reference uploadedFileUrl = json["url"] # 2. UPLOAD FILE TO CLOUD. with open(fileName, 'rb') as file: requests.put(uploadUrl, data=file, headers={ "content-type": "application/octet-stream"}) return uploadedFileUrl else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") return None if __name__ == '__main__': main()

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