Is OCR guaranteed accurate?

No. Always verify critical text, especially names, dates, and numbers.

Does it recognize handwriting well?

It is intended for printed text; handwriting and decorative fonts are less reliable.

Why does the first run take longer?

The browser must download the OCR engine and selected language model.

Does the PDF leave the device?

No document is uploaded; recognition runs locally after the model download.

What limits document size?

Recognition time, rendered page canvases, language-model memory, and device resources determine the practical limit.

PDF Tools

OCR Searchable PDF

Recognize text in scanned PDF pages and create a searchable downloadable copy.

Free browser toolRuns in your browserNo sign-up

Browser OCR studio

Make scanned PDF pages searchable

Recognize text locally, rebuild every page as an image and add an invisible searchable text layer.

5 languages

available

Searchable

output

Local OCR

processing

Drop a PDF here, or click to choose

Processed locally in your browser.

About the OCR Searchable PDF

OCR Searchable PDF renders scanned pages, recognizes printed text with a selected language model, and builds a new PDF with preserved page imagery plus an invisible selectable text layer. Extracted text is also shown for review.

The OCR engine and model are downloaded only after recognition starts. Accuracy depends on language choice, scan resolution, contrast, orientation, fonts, and page complexity; recognized text must be verified.

OCR is compute and memory intensive because every page is rendered and analysed locally. Long scans can take several minutes on desktop hardware and may exceed practical limits on phones.

Key features

Invisible selectable text layer
Extracted text preview
Multiple recognition languages
Per-page recognition progress
Lazy-loaded OCR engine and model
Preserved visual page images
Local recognition after model download

How to use

1Upload a clear scanned PDF.
2Choose the primary printed language.
3Start OCR and keep the tab open while models and pages process.
4Review names, numbers, punctuation, and the extracted text.
5Download the searchable PDF and test search and selection.

Examples

Make an archive searchable

Input: Upright 300-DPI English report scan

Output: Image-based PDF with invisible recognized text and a review transcript

Frequently asked questions

Is OCR guaranteed accurate?: No. Always verify critical text, especially names, dates, and numbers.
Does it recognize handwriting well?: It is intended for printed text; handwriting and decorative fonts are less reliable.
Why does the first run take longer?: The browser must download the OCR engine and selected language model.
Does the PDF leave the device?: No document is uploaded; recognition runs locally after the model download.
What limits document size?: Recognition time, rendered page canvases, language-model memory, and device resources determine the practical limit.

Open a related tool to prepare your files or refine the finished result.