Work with PDFs, plus convert Word, Excel, PowerPoint, and images. Annotate, fill forms, sign, extract text with OCR, extract structured data, and redact sensitive information. One SDK replaces fragmented libraries — Pythonic APIs and efficient processing keep your data pipelines running smoothly.
Drop in any supported file — Word, Excel, PowerPoint, HTML, Markdown, images, and more — and convert bidirectionally between PDF and Office formats with high fidelity.
Runs on the battle‑tested engine behind Nutrient Web and Document Engine SDKs that’s trusted by thousands of enterprises worldwide for reliable document processing.
Process thousands of documents efficiently with multithreaded batch operations, low memory footprint, and no external dependencies — perfect for data pipelines, automation workflows, and containerized deployments.
Built-in digital signatures, AES-256 encryption, irreversible redaction for GDPR/HIPAA compliance, and PDF/A archiving — meet audit requirements without stitching together multiple libraries.
From file conversions and OCR to forms, signatures, and redaction — everything lives in one SDK. No extra servers, CLI tools, or library juggling.
Convert Word, Excel, PowerPoint, HTML, images, and CAD files to PDF — and convert PDFs back to Office formats. High-fidelity conversion preserves layouts, fonts, and formatting for seamless content repurposing.
Generate thousands of personalized documents from Word templates and JSON data. Automate contracts, invoices, reports, and letters at scale with consistent formatting — no manual assembly required.
Add comments, highlights, stamps, shapes, and file attachments to PDFs. Enable document review workflows and markup blueprints programmatically within your Python application.
Create fillable forms, extract submitted data, and automate batch form filling from databases. Process applications, surveys, and registration documents programmatically with field-level control.
Apply electronic signatures and certificate-based digital signatures to PDFs. Authenticate documents, ensure integrity, and meet legal compliance requirements for secure remote signing workflows.
Convert scanned documents and images into searchable PDFs. Extract text from 100+ file types in 100+ languages with automated preprocessing for skew correction and noise removal.
Permanently remove sensitive content with zone-based redaction. Specify areas to redact — content is removed from the file structure for GDPR and HIPAA compliance, not just covered with black boxes.
Extract structured data from invoices, receipts, bank statements, and forms. Key-value pair detection identifies dates, amounts, addresses, and more — export to JSON for seamless integration with your data pipelines.
Most operations take 3–4 lines of code. Add Nutrient to your project in minutes, and then extend or customize every step with a clean, Pythonic API and context managers.
from nutrient_sdk import Documentfrom nutrient_sdk.exceptions import NutrientException
try: with Document.open("input.docx") as document: document.export_as_pdf("output.pdf")except NutrientException as e: print(f"Error: {e}")Nutrient SDKs and Cloud APIs add full document lifecycle support to any platform, tech stack, or infrastructure in minutes. The same technology meets Fortune 500 requirements while helping startups ship fast.
Clean documentation, drop-in code, and MCP hooks for both hands-on developers and AI agents.
Web, mobile, desktop, server, or Nutrient Cloud — with no lock-in.
SOC 2 Type 2-compliant workflows with enterprise-grade security and encryption.
Built-in document AI with support for leading LLMs and their private implementations.
PROVEN AT SCALE
The digital arm of Germany’s national railway digitizes millions of track maintenance blueprints with the Nutrient PDF SDK, keeping 40,000 trains rolling each day.
Governance portal trusted by 2,000+ boards in 30 countries embeds Nutrient Web SDK to enable in‑portal annotations and cross‑device continuity, achieving 80 percent user engagement.
Rolled out nationwide PAdES-compliant signatures with the Nutrient PDF SDK, letting every Austrian citizen sign official documents securely in seconds.
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Integrating PDF functionality into Python applications can significantly enhance document management capabilities. This section will explore the essentials of Python PDF libraries to guide you through this integration.
A Python PDF library is a set of APIs enabling developers to process, convert, and manage documents within Python applications. These libraries provide functionality such as converting between PDF and Office formats, automating document generation from templates, adding annotations and forms, applying digital signatures, extracting text with OCR, redacting sensitive information, and extracting structured data.
Selecting the right Python PDF library depends on your specific document processing needs. Consider the following factors:
Nutrient Python SDK offers unique advantages for comprehensive document processing:
Nutrient Python SDK differentiates itself through comprehensive capabilities in one package. While open source libraries require combining PyPDF2 (manipulation), OCRmyPDF (text recognition), endesive (signatures), and custom scripts (redaction), Nutrient delivers all features in a unified package — bidirectional Office conversion, template automation, annotations, forms, digital signatures, OCR, redaction, data extraction, and PDF/A archiving.
The SDK integrates seamlessly with Django, Flask, and FastAPI frameworks via pip or Poetry. Unlike fragmented open source stacks, Nutrient provides enterprise-grade accuracy, performance optimization for batch processing, and dedicated support. Developers implement sophisticated document workflows in hours instead of weeks, meeting requirements for security, privacy compliance, and scalability without library incompatibility headaches.
Nutrient Python SDK stands out as an all-in-one solution replacing fragmented open source libraries. Instead of combining PyPDF2 (manipulation), OCRmyPDF (text recognition), endesive (signatures), and custom redaction scripts, Nutrient delivers comprehensive capabilities in one package — bidirectional Office conversion, annotations, form filling, digital signatures, OCR, redaction, data extraction, template automation, and PDF/A archiving.
Enterprise features set Nutrient apart: certificate-based digital signatures for legal compliance, zone-based redaction that permanently removes content from the file structure for GDPR/HIPAA compliance, OCR supporting 100+ languages with preprocessing, AI-powered data extraction from invoices and forms, and form creation/extraction for automated workflows. The clean Pythonic API requires just 3–4 lines of code for most operations — no dependency juggling or library incompatibility headaches.
The SDK uses proven document processing technology built on more than 20 years of development, which also powers Nutrient’s .NET SDK (formerly GdPicture) and Document Engine products. This ensures accurate format conversion that preserves complex layouts, formatting, fonts, and document structure across all supported formats — Word, Excel, PowerPoint, PDF, HTML, and Markdown.
Nutrient Python SDK offers comprehensive document processing in one package. Convert bidirectionally between PDF and Office formats (Word, Excel, PowerPoint, HTML), merge different file types into unified PDFs, and generate documents from Word templates with JSON data. Add annotations (comments, highlights, stamps, shapes) for document review workflows, create and fill forms programmatically, and extract form data for database integration.
Apply electronic and certificate-based digital signatures for legal compliance and document authentication. Convert scanned documents and images to searchable PDFs with OCR supporting 100+ languages and automatic preprocessing. Protect sensitive information with redaction that permanently removes PII like credit cards, SSNs, emails, and phone numbers from the file structure for GDPR/HIPAA compliance.
Extract structured data from invoices, receipts, bank statements, and forms using AI-powered key-value pair detection. All features support PDF/A archiving for long-term document preservation, making the SDK suitable for high-volume enterprise operations. Most operations require just 3–4 lines of Python code with intuitive APIs.
Absolutely. The SDK is designed to be safe, reliable, and scalable, making it well-suited for enterprise applications that require robust document processing capabilities. It’s trusted by industry leaders, and it ensures compliance with various security and privacy standards. The SDK includes optimization features for memory usage and processing speed, making it suitable for server applications that need to process thousands of files.
Yes. Nutrient Python SDK includes OCR that converts scanned documents and images into searchable PDFs with text recognition in 100+ languages. The OCR engine supports 100+ file types, automatic preprocessing (deskew, noise removal, line removal), and zonal recognition for specific document regions. Convert paper archives, photos, and scanned PDFs into fully searchable digital assets with automated batch processing.
For redaction, the SDK provides zone-based redaction where you specify the areas to permanently remove from documents. Redaction removes content from the file structure (not just black boxes), ensuring GDPR, HIPAA, and privacy compliance. You can search and redact with plain text or regex patterns, coordinate-based redaction for specific areas, and batch processing for multiple documents simultaneously.
For data extraction, AI-powered key-value pair detection automatically identifies and extracts structured data from invoices, receipts, bank statements, and forms — including dates, amounts, addresses, and 18+ data types. Export extracted data to JSON, Excel, or Markdown.