Python SDK sample downloads
Download our ready-to-use Python code samples for document processing, editing, extraction, and conversion tasks. Each sample includes complete source code and shows how to implement common document workflows in your applications.
Document Editor samples
These samples demonstrate how to manipulate PDF documents programmatically, including adding pages, editing metadata, and merging files.
Add annotations to PDF
Add various annotations to PDF documents, including text highlights, notes, comments, and shapes. This is useful for document review workflows and collaborative editing.
Add custom pages to PDFs
Add custom pages with specific dimensions to existing PDF documents. This is useful for inserting signature pages, cover pages, or blank pages for notes.
Edit PDF metadata
Modify document properties like title, author, subject, and keywords.
Merge a PDF into another PDF
Combine multiple PDF documents into a single file.
Manage PDF page order
Reorder, remove, or insert pages in a PDF document.
Annotation samples
Add annotations to PDFs for review, markup, and redaction workflows.
Add annotations to PDF
Add multiple annotation types in one workflow.
Add sticky note annotations
Add comment notes for review and collaboration.
Add text markup annotations
Highlight, underline, strike out, and squiggle text.
Add free text annotations
Add editable text boxes as annotations.
Add shape annotations
Add rectangles, ellipses, and other shapes.
Add stamp annotations
Apply stamp-style annotations for approvals or status.
Add link annotations
Create clickable links to URLs or document pages.
Add redaction annotations
Mark content for permanent redaction.
Form field samples
Create, edit, and fill interactive PDF form fields.
Add form fields to a PDF
Create text fields, checkboxes, dropdowns, and signature fields.
Fill PDF form fields
Populate form fields programmatically for automation workflows.
Edit PDF form fields
Update field properties and configuration.
Detect and add form fields
Detect form field regions and add matching AcroForm fields automatically.
Digital signature samples
Add visible and invisible signatures with advanced signing options.
Add a visible signature to a PDF
Place a visible signature field and sign the document.
Add an invisible signature to a PDF
Apply cryptographic signatures without visual appearance.
Advanced digital signatures
Use PAdES-T and stronger hash algorithms for compliance.
Data extraction samples
These samples demonstrate how to extract data from images using advanced recognition technologies.
Extract data from images using ICR
Extract structured data from images using intelligent content recognition (ICR). This uses local AI models for offline document understanding, and detecting tables, equations, and semantic elements without external API calls.
Speed up first ICR by downloading requirements
Predownload ICR resources to reduce first-run latency.
Extract data from images using VLM
Use vision language models to extract structured data from images.
Extract data from images using OCR
Extract text from images using optical character recognition (OCR). This is optimized for speed and high-throughput scenarios with fast text extraction and minimal overhead.
Apply OCR to PDF
Add an invisible text layer to scanned documents to make them searchable and selectable.
Apply OCR to a PDF page
Run OCR on a single page without reprocessing the rest of the document.
Extract form fields from image
Detect form fields in image-based documents and export their locations and types as structured JSON.
Extract structured data
Extract schema-shaped JSON data from documents using AI-backed structured extraction.
JSON data extraction
Extract structured JSON data from PDFs for storage, API workflows, and analytics pipelines.
PDF to text
Extract layout-aware text from PDF documents.
Read text from image
Extract text from images using OCR.
Read text from image in multiple languages
Extract text from images containing multiple languages.
AI document understanding samples
Generate descriptions and insights from images using AI models.
Describe images with Claude
Generate image descriptions with Claude models.
Describe images with local AI
Generate image descriptions with local AI models.
Describe images with OpenAI
Generate image descriptions with OpenAI models.
Label form fields with VLM
Assign human-readable semantic labels to detected form fields using a vision language model.
Document conversion samples
These samples show how to convert between different document formats, including Office documents, PDFs, and HTML.
Word document to PDF
Convert Microsoft Word documents (.docx) to PDF format.
Word document to PDF including comments
Convert Word documents to PDF while preserving comments and annotations.
Word document to PDF/UA
Convert Word documents to PDF/UA (universal accessibility)-compliant format. This is useful for legal documents, government forms, and accessibility compliance.
Excel document to PDF
Convert Microsoft Excel spreadsheets to PDF format.
PowerPoint document to PDF
Convert Microsoft PowerPoint presentations to PDF format.
CAD to PDF
Convert CAD drawings such as DWG and DXF files to PDF.
Email to PDF
Convert MSG and EML email messages to PDF for compliance, legal review, or records.
HTML to PDF
Convert HTML content to fixed-layout PDF documents.
Markdown to PDF
Convert Markdown files to PDF format.
PDF to Word document
Convert PDF files back to editable Microsoft Word documents.
PDF to Excel document
Extract and convert PDF content to Microsoft Excel format.
PDF to PowerPoint document
Convert PDF files to Microsoft PowerPoint presentations.
PDF to HTML
Convert PDF documents to HTML format for web display.
PDF to image
Convert PDF documents to image formats for previews, thumbnails, or image-based processing.
PDF pages to images
Export each page in a multipage PDF as a separate image file.
PDF to Markdown
Convert PDF documents to editable Markdown content.
PDF to PDF/A
Convert PDF documents to archival PDF/A format.
PDF to PDF/UA
Convert PDF documents to PDF/UA for accessibility compliance.
PDF to PDFA
Convert PDF documents to PDF/A for compliance workflows and long-term archiving.
Template processing samples
These samples demonstrate how to generate documents from templates with dynamic content and convert them to accessible formats.
Word template generation
Generate documents from Word templates with dynamic content. This is useful for creating contracts, reports, and personalized documents.
Word template to PDF/UA
Convert Word templates to PDF/UA-compliant documents. This is useful for accessible template-based document generation.
Setup, deployment, and troubleshooting samples
These samples cover SDK setup, runtime configuration, and production deployment considerations.
License activation
Activate Nutrient Python SDK with your license key before calling SDK APIs.
Error handling
Use structured error handling to validate inputs, catch SDK exceptions, and return clear messages.
Headless modes Google Chrome
Run packaged Docker samples for Chrome-backed conversions with Python SDK.
What’s next
After exploring these samples:
- Get started with integration — Follow our Python SDK getting started guide for production setup.
- Explore API documentation — Check out our Python API reference for complete method documentation.
- Need help? — Contact our Support team(opens in a new tab) for questions and assistance.