PDF to Text Python Examples
Complete Python examples for common PDF to Text tasks. See the Python SDK guide for installation and result handling.
You can run the examples below with the displayed API credentials. Update the input URLs and filenames as needed. Each Python example can be copied and run independently.
Basic examples
Choose file, in-memory, or output-stream handling for the text result. Stream examples use a binary file stream as their destination.
The memory variants return UTF-8 bytes. Decode them when your application needs a text string.
Convert a PDF file
Upload an existing invoice.pdf file.
Save to a file
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') client.convertFileToFile('invoice.pdf', 'invoice.txt')
Keep in memory
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') text_bytes = client.convertFile('invoice.pdf') # bytes print(len(text_bytes))
Write to a stream
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') with open('invoice.txt', 'wb') as output_stream: client.convertFileToStream('invoice.pdf', output_stream)
Convert a URL
Fetch a PDF from its URL.
Save to a file
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') client.convertUrlToFile('https://your-server.com/invoice.pdf', 'invoice.txt')
Keep in memory
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') text_bytes = client.convertUrl('https://your-server.com/invoice.pdf') # bytes print(len(text_bytes))
Write to a stream
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') with open('invoice.txt', 'wb') as output_stream: client.convertUrlToStream( 'https://your-server.com/invoice.pdf', output_stream )
Convert raw PDF bytes
Read invoice.pdf as binary data. In an application, pass the bytes you already hold in memory instead.
Save to a file
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') with open('invoice.pdf', 'rb') as source_file: pdf_data_1 = source_file.read() # bytes client.convertRawDataToFile(pdf_data_1, 'invoice.txt')
Keep in memory
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') with open('invoice.pdf', 'rb') as source_file: pdf_data_1 = source_file.read() # bytes text_bytes = client.convertRawData(pdf_data_1) # bytes print(len(text_bytes))
Write to a stream
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') with open('invoice.pdf', 'rb') as source_file: pdf_data_1 = source_file.read() # bytes with open('invoice.txt', 'wb') as output_stream: client.convertRawDataToStream(pdf_data_1, output_stream)
Read from an input stream
Open invoice.pdf as a binary input stream and save the result to invoice.txt.
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') with open('invoice.pdf', 'rb') as input_stream: client.convertStreamToFile(input_stream, 'invoice.txt')
Decode extracted text
Convert a PDF URL, decode the returned bytes as UTF-8, and print the resulting string.
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') text_bytes = client.convertUrl('https://your-server.com/invoice.pdf') # bytes text = text_bytes.decode('utf-8') print(text)
Customize text extraction
These examples upload extraction.pdf, a three-page document with a two-column article, wrapped paragraphs, and invoice fields.
Extract selected pages
Extract pages 1 and 3 of extraction.pdf into excerpt.txt.
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') client.setPrintPageRange('1,3') client.convertFileToFile('extraction.pdf', 'excerpt.txt')
Extract text without layout spacing
Extract the article on page 1 into article.txt without spacing that recreates the PDF's columns. For tables, the default layout mode usually preserves column alignment better.
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') client.setNoLayout(True) client.setPrintPageRange('1') client.convertFileToFile('extraction.pdf', 'article.txt')
Reconstruct wrapped paragraphs
Extract page 2 into paragraphs.txt, joining wrapped lines with paragraph detection and removing line-end hyphens. For example, infor- followed by mation becomes information. Paragraph detection depends on the document's layout.
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') client.setParagraphMode('bounding-box') client.setPrintPageRange('2') client.setRemoveHyphenation(True) client.convertFileToFile('extraction.pdf', 'paragraphs.txt')
Extract text from a page region
Crop away the headers and footers on every page, or extract only the customer, invoice, and reference fields on page 3.
The coordinates below match a 612 × 792 point (US Letter) page. Measure X and Y from the top-left corner; 72 points equal one inch. Adjust the regions for your PDF.
Exclude headers and footers
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') client.setCropAreaHeight(648) client.setCropAreaWidth(540) client.setCropAreaX(36) client.setCropAreaY(72) client.convertFileToFile('extraction.pdf', 'body.txt')
Extract an invoice field block
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') client.setCropAreaHeight(70) client.setCropAreaWidth(300) client.setCropAreaX(36) client.setCropAreaY(290) client.setPrintPageRange('3') client.convertFileToFile('extraction.pdf', 'fields.txt')
Keep page boundaries
The default output has no page separators. Insert form-feed characters (\f) for processing text by page, or add a visible --- PAGE BREAK --- marker on its own line.
Use form-feed separators
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') client.setPageBreakMode('default') client.convertFileToFile('extraction.pdf', 'pages.txt')
Use visible separators
import pdfcrowd client = pdfcrowd.PdfToTextClient('demo', 'demo') client.setCustomPageBreak(""" --- PAGE BREAK --- """) client.setPageBreakMode('custom') client.convertFileToFile('extraction.pdf', 'separated.txt')