PDF Text Extractor + OCR
Pull text out of any PDF — scans get full OCR automatically
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Extracted text OCR used — scanned PDF
PDF Text Extractor + OCR — Complete Guide & Instructions
MakeCard PDF Text Extractor pulls the words out of any PDF and hands them back as plain, editable text. Digital PDFs are read straight from their embedded text layer for instant, exact results; if a document turns out to be a scan, the tool automatically switches to Tesseract.js OCR and reads each page as an image in English or Hindi. The extracted text lands in an editable box you can copy to the clipboard or download as a .txt file.
How to Use PDF Text Extractor + OCR
- 1 Drop the document on "Select PDF" or click "Choose PDF" — both normal and scanned PDFs are accepted.
- 2 Set the "OCR language" dropdown to English or Hindi for scanned pages.
- 3 Press "Extract Text" — the tool reads the text layer first and falls back to OCR automatically.
- 4 Check the "Extracted text" panel — an amber "OCR used — scanned PDF" badge appears when recognition ran.
- 5 Edit if needed inside the text box, then hit "Copy" or "Download .txt".
Key Features & Capabilities
- Two-pass extraction — fast text-layer read first, automatic OCR for scans.
- English and Hindi OCR via Tesseract.js, selectable per file.
- Clear badge indicator showing when the document required OCR.
- Fully editable result pane for cleanup before copying.
- One-click clipboard copy plus a plain-text .txt download.
- Page markers in OCR output keep multi-page scans organized.
Supported Formats & Specifications
| Parameter | Specification |
|---|---|
| Input | Any PDF — digital or scanned |
| Pass 1 | Embedded text-layer extraction |
| Pass 2 | Tesseract.js OCR at high render scale when little text is found |
| Languages | English and Hindi OCR models |
| Output | Editable text — copy to clipboard or download .txt |
Practical Everyday Use Cases
- Copying a passage out of a PDF that will not let you select text.
- Converting scanned letters, certificates and books into searchable text.
- Pulling Hindi or bilingual document text for translation or records.
- Extracting content for pasting into emails, notes or spreadsheets.
- Feeding PDF text into summarizers, translators or analysis workflows.
Pro Tips for Best Results
- Set the OCR language to Hindi before extracting Devanagari scans — the wrong language produces gibberish.
- OCR on long documents takes a moment per page; the progress line shows which page is being read.
- Upright, high-contrast scans give the cleanest OCR output.
- The result box is editable — fix OCR slips there before copying the text out.
Common Problems & Solutions
Usually a wrong OCR language or a stylized font — switch the "OCR language" dropdown and retry.
A mixed PDF may yield text-layer content on some pages and OCR output on others — check the page markers in the result.
OCR is tuned for printed text; handwriting, heavy skew and faint scans will need manual correction in the editable box.
Privacy & Security
100% Client-Side Execution
Text extraction and OCR run 100% on your device via pdf.js and Tesseract.js — even scanned documents stay local, and nothing you extract is logged.
Frequently Asked Questions
Everything you need to know about using PDF Text Extractor + OCR
Drop the file here and press "Extract Text" — digital text is read instantly, and scanned pages are automatically recognized into editable text.
Yes — the tool detects scans and runs OCR page by page, so the words become selectable, copyable text you can download as a .txt file.
Yes — set the "OCR language" dropdown to Hindi and Devanagari scans are recognized alongside English text.
If the document is image-only and OCR finds no readable characters — for example handwriting or a very faint scan — the result may be sparse. Try a cleaner scan.
Extraction reads the real text layer embedded in digital PDFs — instant and exact. OCR recognizes letters from page images when no text layer exists, which is slower and approximate.
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