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Not all PDFs are the same. Understanding the difference explains why most PDF to text tools fail on certain documents and why AI vision gives better results across all three types.
Text-based PDFs contain selectable text embedded in the file. You can highlight and copy text directly. These are created by word processors, spreadsheet apps, and web browsers. Traditional tools handle these fine — but even here, AI vision catches formatting nuances that copy-paste misses, like table alignment and column order.
Scanned PDFs are images wrapped in a PDF container. When you scan a paper document, the result looks like a PDF but contains no selectable text. It is just a photo of the page. Traditional OCR tools struggle with these — they see pixels, not text. AI vision reads scanned PDFs like a human reads a photocopy: understanding context, layout, and even partially obscured characters. Take a screenshot or photo of the scanned PDF page and upload the image to ImagText.
Mixed PDFs combine both types. A common example: a contract with typed clauses and a handwritten signature. Or a form with printed labels and filled-in fields. Traditional tools extract the typed portions and garble the handwritten parts. For documents with significant handwriting, the handwriting to text converter is tuned for cursive and mixed-style recognition. AI vision reads both seamlessly because it processes the entire image as a human would.
ImagText currently works with images of PDF pages. Take a screenshot or photo of the PDF page you need, then upload that image — the screenshot to text extractor makes this effortless with clipboard paste support. The AI reads the visual content and extracts all text regardless of how the original PDF was created. Direct .pdf file upload is on the roadmap, but the image-based approach already handles every PDF type with high accuracy because the AI reads what it sees, not what metadata says should be there.
This distinction matters for anyone searching for a PDF to text converter. Most online tools only handle text-based PDFs. They parse the embedded text layer and call it done. When you upload a scanned contract or a photographed form, they return garbage. ImagText treats every PDF page as an image to read — the approach that works universally.
Take a photo or screenshot of your PDF page. Drag and drop it, paste from clipboard, or tap upload. Supports JPG, PNG, WebP, and more.
Gemini Flash reads the image of your PDF and extracts all text in under three seconds. Handles scanned documents, tables, and multi-column layouts.
Review the extracted text, edit inline if needed, copy to clipboard, or download as a text file. Done.
Traditional OCR engines like Tesseract process scanned PDF pages one character at a time. They match pixel patterns against a library of known letterforms. This works on crisp, high-resolution, perfectly aligned scans. It breaks down on everything else.
Scanned documents from the real world are rarely perfect. The paper may be yellowed. The ink may be faded. The scan may be slightly skewed. Staple shadows cross the text. Coffee stains obscure characters. Fold creases run through sentences. Traditional OCR sees each imperfection as a character recognition failure. The output becomes unreliable exactly when you need it most.
AI vision models like Gemini Flash approach the problem differently. They read the entire page as a visual scene, understanding that a blurry "e" in the word "contract" is still an "e" because the surrounding context makes it unambiguous. They handle skewed alignment by understanding text direction. They separate columns by visual grouping, not character position. The result is dramatically higher accuracy on the scanned PDFs that matter most.
Tables in scanned PDFs are a particular strength. Traditional OCR flattens table cells into a single text stream, losing all structure. AI vision understands that text in aligned columns belongs to the same logical group. It reads headers, rows, and cells in the correct order. Financial tables, data sheets, and inventory lists come out readable — not jumbled.
Most PDF to text tools rely on Tesseract OCR for scanned documents. Here is how AI vision compares on real-world PDF challenges.
| Feature | AI Vision (ImagText) | Traditional OCR (Tesseract) |
|---|---|---|
| Scanned PDF accuracy | Reads context to fill gaps in scanned text | Character-by-character, misses blurry areas |
| Table extraction | Understands table structure and cell alignment | Flattens tables into jumbled text |
| Multi-column layouts | Reads columns in correct order | Merges columns into single text stream |
| Headers and footers | Separates headers, footers, and page numbers | Mixes metadata into body text |
| Faded or low-quality scans | Infers text from partial letterforms | Produces garbled output |
| Cost | Free, unlimited | Free tier with page limits |
*Based on industry benchmarks.
Extract text from academic PDFs, conference papers, and journal articles. Screenshot the pages you need and get copyable text for your notes, citations, and literature reviews.
Pull text from contract pages, agreements, and legal documents. Screenshot specific clauses or pages for review. Works on scanned and photographed legal documents.
Digitize scanned historical documents, old letters, and archived paperwork. The AI handles faded ink, yellowed paper, and imperfect scans that traditional OCR cannot read.
Extract line items, totals, and dates from invoice PDFs. Screenshot the page and get readable text for your accounting or expense tracking workflow.
Take clean screenshots. When screenshotting a PDF page, zoom to 100% or higher. Avoid capturing the PDF viewer chrome — toolbars, sidebars, and page thumbnails add noise. On Mac, use Cmd+Shift+4 to select just the page content. On Windows, use the Snipping Tool in rectangle mode.
One page at a time. Process one PDF page per upload for best results. If you need multiple pages, screenshot each separately. The AI focuses on a single page image more effectively than a zoomed-out multi-page view.
Good lighting for photos. If photographing a printed PDF with your phone, ensure even lighting across the page. Avoid shadows from your hand or phone. Lay the document flat on a well-lit surface. Natural diffused light works best. For archival TIFF scans of documents, the TIFF to text converter preserves full scan fidelity. The AI handles imperfect conditions, but clearer input always gives cleaner output.
Use the document context. ImagText automatically applies the document context when you use this PDF to text page. This tunes the AI prompt for document-specific patterns like headers, page numbers, and paragraph structure.
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