pdf tool

OCR PDF

Extract text from scanned PDF documents via Optical Character Recognition.

OCR PDF overview

OCR PDF renders scanned pages and uses optical character recognition to produce searchable, copyable English text from image-based documents.

  • Scanned-page recognitionAnalyze page images when no selectable text exists.
  • English modelUse the deployed English OCR language model.
  • Text outputDownload recognized text for review or reuse.

About This Tool

OCR PDF renders scanned pages and uses optical character recognition to produce searchable, copyable English text from image-based documents.

What You Can Do

Scanned-page recognition

Analyze page images when no selectable text exists.

English model

Use the deployed English OCR language model.

Text output

Download recognized text for review or reuse.

How to Use

  1. 1

    Upload a scanned PDF

    Upload a scanned PDF.

  2. 2

    Start OCR and allow the English model to load on first use

    Start OCR and allow the English model to load on first use.

  3. 3

    Wait while pages are rendered and recognized

    Wait while pages are rendered and recognized.

  4. 4

    Review and download the extracted text

    Review and download the extracted text.

Practical Use Cases

Scan transcription

Recover typed wording from scanned letters or forms.

Search preparation

Create text that can be indexed alongside an image-only archive.

Privacy and File Processing

Browser-local processing

OCR PDF keeps its PDF input in browser memory while the operation runs. The workflow creates TXT for local preview or download and does not send the entered values or selected file bytes to the GXA Toolbox application server.

Supported Inputs and Outputs

Input

  • PDF

Output

  • TXT

How It Works

PDF.js rasterizes scan pages and Tesseract’s deployed English model recognizes visible characters into downloadable text; it does not add a hidden searchable layer to the source PDF.

Limitations and Important Notes

  • Handwriting, low resolution, skew, unusual fonts, and complex layouts reduce accuracy.
  • The deployed model recognizes English; other languages are not promised.
  • OCR output must be proofread before important use.

Worked Example

Run OCR on a clean 300-dpi English invoice scan, then compare totals and names against the page image.

Helpful Tips

  • Use straight, high-contrast scans.
  • Never rely on OCR alone for legal, medical, or financial values.

Frequently Asked Questions

Does OCR work on handwriting?

It is designed mainly for printed text; handwriting accuracy may be poor.

Which language is supported?

This deployment enables the English recognition model.

Does OCR change the original PDF?

The workflow extracts text; it does not claim to create a searchable-text-layer PDF.

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