Looking for a faster way to make PDFs accessible and PDF/UA-compliant? PDFix now integrates with Amazon Textract, bringing AI into your document workflows. With this Dockerized solution, every PDF page is rendered as an image, analyzed by Textract, and converted into a single JSON Template that drives precise, automated tagging with the PDFix SDK. This means your team can turn raw PDFs – even scanned or image-based – into fully tagged, accessible documents in minutes instead of hours.
Why Choose AI for PDF Auto-Tagging?
Manual tagging is slow, expensive, and error-prone. AI-powered auto-tagging with PDFix solves this by:
- Automatically detecting structure → headings, tables, and forms
- Generating reusable JSON templates → reuse across thousands of documents
- Ensuring PDF/UA compliance at scale → meet PDF/UA & WCAG and legal requirements effortlessly
How the Amazon Textract + PDFix Workflow Works
The process begins with rendering each PDF page as an image. These images are then sent securely to Amazon Textract servers, where the AI analyzes them and returns detailed information about the individual elements on each page – such as text blocks, tables, and forms.
PDFix then transforms this data into a layout template (JSON format) that the PDFix SDK can work with. Using this template, the original PDF is automatically and accurately tagged for accessibility.
More Options for AI-Powered Auto-Tagging
With PDFix you now have more approaches to auto-tagging:
- PDFix Auto-Tagging Engine – powerful built-in logic for PDF auto-tagging
- PDFix + Amazon Textract model
- PDFix + PaddlePaddle model
Integrate PDFix with AI models and choose the layout recognition that fits your documents best. Compare results and pick the most accurate auto-tagging for your use case and industry.
💡TIP: Explore how different auto-tagging methods in PDFix Desktop work together with AI to handle even the most complex document layouts.
Build Smarter AI-Powered Workflows
This integration shows how external AI models like Textract can power accessibility tagging with PDFix. If your organization uses a different AI engine, we can integrate it into your custom remediation workflow. More AI models including olmOCR and others are coming soon via the PDFix Marketplace.
Try Automated PDF Accessibility with Textract Today
Save time, cut costs, and meet compliance with automated PDF accessibility tagging. Try out PDFix with Amazon Textract in PDFix Desktop, or contact us to build a scalable AI-powered tagging pipeline tailored to your needs.
Frequently Asked Questions
What is AI-powered auto-tagging for PDFs, and how does PDFix with Amazon Textract compare?
AI-powered auto-tagging means using artificial intelligence to detect and tag document elements automatically instead of manually. With PDFix + Amazon Textract, every PDF page is analyzed for structure (headings, tables, forms) and converted into a JSON template that ensures consistent tagging. This is faster, more accurate, and more scalable than manual tagging or Adobe’s basic auto-tag function
How does the PDFix + Amazon Textract workflow work for scanned or image-based PDFs?
Scanned or image-only PDFs are converted into images. Amazon Textract applies advanced OCR and layout recognition to detect text blocks, tables, and forms. PDFix then builds a JSON template and applies tagging back onto the original PDF. The result is a fully searchable, accessible, and PDF/UA-compliant file — even from raw scans.
What are the advantages of using JSON templates for PDF/UA compliance at scale?
Reusable logic: One JSON template can tag thousands of similar PDFs. Consistency: Ensures the same structure (tables, headers, reading order) across batches. Scalability: Process millions of pages without manual tagging. Compliance: Meets PDF/UA and WCAG standards reliably. This makes JSON templates a game-changer for enterprises working with invoices, bank statements, insurance forms, and other high-volume documents.
Can I integrate other AI engines besides Amazon Textract for PDF tagging with PDFix?
Yes. You can integrate PaddlePaddle (open-source deep learning), or other custom AI models. This flexibility means you can choose the AI model that delivers the best accuracy for your industry and integrate it with PDFix. We’re constantly adding state-of-the-art AI models, which you can find in our Marketplace.
