ToolMint

Extract Text from Scanned PDF Online – Free OCR Tool

Pull text out of any PDF document with ToolMint. Works on digital PDFs and scanned documents using OCR. Copy the output or download it as a text file — no account required.

Upload PDF

OCR mode — best for scanned PDFs and images-as-pages. Uses Tesseract.js to read text from rendered page images.

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Drop a PDF here or click to browse
PDF files • Max 1024.00 MB
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Two Modes

Use 'Native' for digitally-created PDFs with selectable text. Use 'OCR' for scanned documents and image-based PDFs.

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20+ Languages

OCR mode supports English, Hindi, Spanish, Chinese, Arabic, Japanese, and many more via Tesseract.js.

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100% Private

All processing happens in your browser. No PDF data is uploaded to any server.

When to Extract Text from a PDF

Extract from scanned documents

Convert scanned PDFs, photographed documents, or image-based PDFs into selectable, searchable text using OCR.

Copy content for reuse

Pull quotes, data, or reference text from a PDF report or academic paper for use in notes, presentations, or other documents.

Index and search documents

Extract the full text content of PDFs so they can be indexed, searched, or processed by other tools and scripts.

How to Extract Text from a PDF

1

Upload a PDF

Select a digital or scanned PDF file from your device.

2

Extract

ToolMint extracts text from digital PDFs directly, and applies OCR to scanned pages.

3

Copy or download

Copy the extracted text or download it as a .txt file.

What Is OCR and How Does It Work?

OCR stands for Optical Character Recognition. It is a technology that analyzes the visual content of an image — whether a photograph, a scanned page, or a PDF rendered as an image — and identifies letter shapes to reconstruct text. The process involves preprocessing the image for contrast and orientation, segmenting the image into lines and characters, comparing character shapes against trained letter models, and assembling the recognized characters into words and sentences. Modern OCR engines use deep learning models that achieve high accuracy on clean printed text in supported languages. Handwriting, unusual typefaces, and degraded documents are harder to recognize accurately.

When to Use PDF to Text Extraction

Text extraction is most useful when you need to work with the content of a PDF rather than its visual layout. If you want to paste a quote, count words, translate content, run a search across many pages, or feed document content into another tool, extracted plain text is easier to work with than a PDF. Developers use text extraction to build search indices, data pipelines, and natural language processing workflows on document collections. For a simple task like copying a paragraph from a PDF you can open in your browser, direct copy-paste from the viewer is faster. Text extraction tools add value when PDFs are scanned, when content spans many pages, or when you need machine-readable output.

Frequently Asked Questions

Can OCR extract text from a scanned PDF?
Yes. OCR (Optical Character Recognition) reads scanned page images and converts them to text. Accuracy is highest for clean, high-resolution scans of printed documents in common languages.
How accurate is online OCR for PDFs?
For clearly printed text in English and other common languages at 150 DPI or higher, accuracy typically exceeds 95%. Handwriting, unusual fonts, low-resolution scans, and degraded documents produce lower accuracy.
What languages does OCR support?
ToolMint's OCR supports the most common Latin-script languages including English, French, German, Spanish, Italian, and Portuguese. Support for other scripts varies — check the tool for current language options.
Why is my extracted text scrambled or wrong?
Scrambled text usually means the PDF has a non-standard text encoding, right-to-left text direction, or was created by a program that stored text in a different order than it appears visually. Low scan quality also produces garbled OCR output.
Can I extract text from a password-protected PDF?
No. Password-protected PDFs must be unlocked first. Use the Unlock PDF tool with the correct password, then return here to extract the text.

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