How accurate is the in-browser OCR engine?

On clean, 300 DPI scans with standard printed typography, accuracy typically exceeds 98%99%. Extremely blurry or handwritten scans may have reduced accuracy.

Can the OCR engine recognize multiple languages on the same page?

Yes. You can select multilingual models to accurately recognize documents containing mixed English, Spanish, French, or German text.

What output formats are available after running OCR?

You can copy the extracted text to clipboard, download a plain text (.txt) file, or export directly to an editable Microsoft Word (.docx) document.

Can I run OCR on handwritten notes in a PDF?

The OCR engine is optimized for printed and typed typography. Clear block handwriting may be recognized, but cursive handwriting is not officially supported.

Are my scanned documents sent to any third-party cloud server?

No. The OCR neural network runs entirely inside your web browser using WebAssembly. Your files never leave your computer.

How does Optical Character Recognition (OCR) extract text from scanned PDFs?

NexLove's OCR engine uses WebAssembly-compiled neural network models (Tesseract) to analyze scanned bitmap images, detect letter shapes and word boundaries, and convert non-selectable image pixels into fully selectable, editable digital text.

Can I run OCR on scanned documents in Spanish, Portuguese, German, and French?

Yes. The OCR engine includes multi-language dictionary packs supporting English, Spanish (reconocimiento ptico de caracteres), Portuguese, German, French, and Russian with precise accent and diacritic recognition.

OCR & Extraction

PDF OCR (Optical Character Recognition)

Recognize and extract text from scanned, image-based PDF documents in your browser.

TL;DR: PDF OCR scans image-based, non-selectable PDF pages using client-side machine learning to extract searchable, editable text directly in your browser.

Drag & drop your PDF here

or click to browse from your device

File Name

File Size

Total Pages

Document Type

Analyzing

OCR Recognition Settings

Document Language

Page Scope

All Pages Custom Range

Image Enhancement

How does OCR work on a scanned PDF document?

PDF OCR (Optical Character Recognition) analyzes the raster pixels of scanned PDF pages, identifies letterforms, font shapes, and word spaces, and converts them into selectable digital text. NexLove's PDF OCR runs in-browser via WebAssembly, extracting text with zero server uploads.

How to Use PDF OCR

Upload your scanned PDF document or image into the OCR workspace.
Select your document language (English, Spanish, German, French, etc.).
Click 'Start OCR Recognition' to process pages in browser memory.
Copy extracted text or download as searchable text / Word document.

Expert Tips for PDF OCR

Ensure Good Contrast: High-resolution scans (300 DPI) with dark text on white backgrounds produce >99% recognition accuracy.
Multi-Language Support: Selecting the correct language dictionary improves recognition of accented characters and unique vocabulary.
Complete Client Privacy: Sensitive medical records, contracts, and IDs are scanned on your device's CPU/GPU without cloud processing.

Related Guides & Tutorials

How to Extract and Split Pages from PDF — Extract pages, text blocks, and embedded document graphics.
Client-Side vs Server-Side Tools: Privacy & Speed — Learn why 100% in-browser processing guarantees total document privacy.

100% Client-Side Privacy Guarantee

All processing runs locally inside your browser using JavaScript and HTML5 APIs. Your data, files, and inputs are never uploaded to any remote server. Complete privacy by design.

Frequently Asked Questions

: On clean, 300 DPI scans with standard printed typography, accuracy typically exceeds 98%99%. Extremely blurry or handwritten scans may have reduced accuracy.
: Yes. You can select multilingual models to accurately recognize documents containing mixed English, Spanish, French, or German text.
: You can copy the extracted text to clipboard, download a plain text (.txt) file, or export directly to an editable Microsoft Word (.docx) document.
: The OCR engine is optimized for printed and typed typography. Clear block handwriting may be recognized, but cursive handwriting is not officially supported.
: No. The OCR neural network runs entirely inside your web browser using WebAssembly. Your files never leave your computer.
: NexLove's OCR engine uses WebAssembly-compiled neural network models (Tesseract) to analyze scanned bitmap images, detect letter shapes and word boundaries, and convert non-selectable image pixels into fully selectable, editable digital text.
: Yes. The OCR engine includes multi-language dictionary packs supporting English, Spanish (reconocimiento ptico de caracteres), Portuguese, German, French, and Russian with precise accent and diacritic recognition.

Cite This Tool

Referencing this tool in an article, paper, or documentation? Copy a standard citation below:

NexLove.org. (2026). PDF OCR [Software]. https://nexlove.org/tools/pdf-ocr

“PDF OCR.” NexLove.org, 2026, nexlove.org/tools/pdf-ocr.

NexLove.org (2026) PDF OCR. Available at: https://nexlove.org/tools/pdf-ocr (Accessed: 2026).

@misc{nexlove_pdf_ocr,
  title = {PDF OCR},
  author = {{NexLove.org}},
  year = {2026},
  url = {https://nexlove.org/tools/pdf-ocr}
}

Embed This Tool

Add the live PDF OCR to your own website with this lightweight responsive iframe:

<iframe src="https://nexlove.org/embed/pdf-ocr.html" width="100%" height="650" style="border:1px solid #e2e8f0;border-radius:12px" title="PDF OCR — NexLove.org" loading="lazy"></iframe>

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