OCR — Image & PDF to Text
نیامقبولExtract text from scanned PDFs, images, and photos using optical character recognition.
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About OCR — Image & PDF to Text
OCR Tool extracts text from any scanned PDF, JPEG, PNG, WEBP, TIFF, or BMP file using Tesseract — the world's leading open-source optical character recognition engine. For PDFs that are already text-based (digital PDFs with selectable text), the tool uses direct extraction which is near-instant and 100% accurate. For scanned documents and photos, Tesseract analyses each page pixel-by-pixel to recognise characters, words, and paragraphs. The extracted text can be copied to the clipboard or downloaded as a plain .txt file for editing, searching, or importing into other applications. All file processing happens on a secure server, with files deleted immediately after extraction is complete.
Smart PDF & Image Text Extraction
Automatically detects whether an uploaded PDF contains digital text or scanned images and applies the optimal extraction method. Text PDFs are processed instantly with 100% accuracy; image-based files use Tesseract OCR for character recognition.
Tesseract OCR Engine
Powered by Tesseract, the most widely used open-source OCR engine, originally developed by HP and now maintained by Google. Delivers excellent accuracy on clean, high-contrast printed text in English and other supported languages.
Supports PDF, JPEG, PNG, WEBP, TIFF, BMP
Accepts all major document and image formats. Upload scanned PDFs directly, or photos taken with a smartphone camera. Multi-page PDFs are processed page by page with all extracted text combined into one continuous output.
Copy to Clipboard & .txt Download
After extraction, copy the entire text to your clipboard with one click, or download it as a plain .txt file. The download preserves line breaks and paragraph structure as detected by the OCR engine.
Word Count & Extraction Method Display
Shows the total word count, character count, and which extraction method was used (direct or OCR) so you can assess the quality and completeness of the extraction at a glance.
Files Deleted After Processing
Uploaded files are held in server memory only during processing and deleted immediately after extraction is complete. Nothing is stored to disk, logged, or retained. Your documents remain completely private.
How to Use
- 1
Upload your file
Drag a PDF, JPEG, PNG, WEBP, TIFF, or BMP file onto the upload area, or click to browse. Maximum file size is 20 MB. For scanned PDFs with many pages, a size between 5–15 MB is typical.
- 2
Click Extract Text
Click the Extract Text button. Text-based PDFs return results almost instantly. Scanned documents and images are processed by Tesseract OCR which typically takes 2–8 seconds per page depending on complexity.
- 3
Review the extracted text
The extracted text appears in the output panel. Scroll through and check for accuracy. OCR accuracy depends on image quality — blurry or low-contrast scans will have more errors than clean printed text.
- 4
Copy or download
Click Copy to Clipboard to copy the full text for pasting into another application, or click Download .txt to save it as a plain text file with the same name as the source document.
- 5
Clean up if needed
For scanned documents with minor OCR errors, paste the text into a word processor and use Find & Replace to correct any systematic misrecognitions (for example, "0" misread as "O" in number sequences).
Real-World Use Cases
Digitising Archived Documents
A law firm has a cabinet of contracts from the 1990s that were printed and stored without digital backups. An intern photographs each page with a smartphone and uploads the JPEGs to the OCR tool. The extracted text is downloaded as .txt files, imported into a document management system, and the contracts become fully searchable for the first time in decades.
Extracting Data from Scanned Invoices
An accounts payable manager receives scanned invoices from suppliers as PDF attachments. Rather than manually typing invoice numbers and amounts into the accounting system, they run each PDF through the OCR tool, copy the extracted text, and paste it into a spreadsheet for rapid import. Processing 50 invoices that would take 2 hours manually takes 15 minutes.
Converting Textbook Photos to Notes
A university student photographs textbook pages they need to reference in an assignment. Instead of paraphrasing from photos, they OCR the images and get the exact text. They paste the extracted passages into their notes app, add their citations, and have searchable, copy-pasteable reference material from physical books without retyping a single word.
Frequently Asked Questions
Related Free Tools
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