Deep OCR
Extract clean text from images, PDFs, and screenshots — review, clean, and export as editable text or Markdown
| What is it | Extract clean text from images, PDFs, and screenshots — review, clean, and export as editable text or Markdown |
|---|---|
| Pricing | Free |
| Free tier | Yes |
| Platform | Web Application |
| Works with | n8n |
| Best for | Extracting text from screenshots, scanned pages, and image-based documents, Cleaning OCR output for reuse in notes, reports, or AI tools |
| Domain registered | 2025 |
Data updated Sept. 19, 2026
What does Deep OCR do?
Deep OCR is a web-based tool that extracts text from images, PDFs, screenshots, and scanned documents. It doesn't just give you raw OCR output — it lets you review the extracted text alongside the original, clean up formatting issues, and export the result as plain text, Markdown, or table-ready content. The goal is to make the text reusable, not just recognized.
The tool supports multiple output modes: Raw OCR, Clean Text, Markdown, and table-ready. Clean Text fixes broken paragraphs, extra spaces, and noisy line breaks. Markdown preserves headings, lists, and structure. The side-by-side view makes it easy to compare the original and extracted text before copying. You can upload JPG, PNG, GIF, WebP images up to 10MB. Deep OCR handles handwritten notes, receipts, charts, dashboard screenshots, and academic pages. It's designed for practical document work, not just one-time text copying.
Researchers can turn scanned pages and PDF excerpts into searchable notes. Analysts can extract labels and numbers from report screenshots. Students can capture lecture slides and study materials. Small teams can reduce manual retyping of receipts, forms, and labels. If you work with multilingual documents, Deep OCR can help extract visible text for translation or summarization. It's a straightforward tool that focuses on making OCR output actually useful.
Key features
What makes it stand outWho is Deep OCR for?
Who benefits most from this toolTrust & presence
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