What platforms does Deep OCR support?

Deep OCR is available on Web App.

What are the limitations of Deep OCR?

Image uploads are limited to JPG, PNG, GIF and WebP at a 10MB maximum. Handwriting, blurry scans, small text and complex tables still need manual proofreading. Formula-heavy content needs careful comparison of symbols and subscripts with the source.

Deep OCR

Name: Deep OCR
Author: Deep OCR

OCR that cleans extracted text into Markdown or table-ready output

Beginner

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Screenshot of Deep OCR, OCR that cleans extracted text into Markdown or table-ready output

What is Deep OCR?

Deep OCR extracts text from screenshots, scans, photos and PDFs, then lets users review it beside the original and switch between Raw OCR, Clean Text, Markdown and table-ready output for copying or export.

Deep OCR is a web-based text extraction tool for screenshots, scanned pages, photos of printed text and other image-based documents. Its pitch is that recognition is only the first step: after the text is pulled out, the tool helps tidy it so it can be pasted into notes, reports, a CMS or an AI assistant without a long manual cleanup pass. The workflow is short. A user uploads a file (JPG, PNG, GIF or WebP, with a 10MB limit shown in the upload area), and the original image is displayed beside the extracted text. That side-by-side view makes it easier to check names, numbers, dates, URLs and small print before reuse. From there the result can be switched between Raw OCR, Clean Text, Markdown and table-ready output. Clean Text removes broken lines, repeated spacing and stray tags. Markdown keeps headings, lists and sections intact. Raw OCR remains available for comparison. Output can be copied, downloaded as a TXT file or exported as Markdown. The site also offers dedicated pages for narrower jobs: an image text extractor, a screenshot-to-text page, a PDF text extractor for scanned or image-based PDFs, and a PDF-to-Markdown converter. The use cases it describes include receipts and invoices, handwritten notes, chart and dashboard screenshots, formula-heavy study pages and multilingual material. The audience is broad: researchers, analysts, students, small operations and HR teams, and anyone preparing source text for ChatGPT, Claude, Notion or Obsidian. Among alternatives, Deep OCR sits between bare-bones free OCR converters that stop at raw text and heavier document-processing suites. It does not claim to remove the need for proofreading and says so openly, recommending review for handwriting, dense tables and low-contrast scans. The site states that uploaded files are deleted after extraction and are not used for model training, though it advises caution with sensitive documents.

How do you use Deep OCR?

1Upload an image or screenshot
Drag a JPG, PNG, GIF or WebP file (up to 10MB) onto the upload area, or click Select File to browse for it.
2Pick a dedicated workflow if needed
For app screens, chats or error messages, the screenshot page is the closer fit. Photos of labels and receipts suit the image text extractor.
3Review text beside the source
Compare the extracted text with the original file, paying attention to numbers, dates, URLs, names and small print.
4Choose an output mode
Switch to Clean Text for readable copy, Markdown for headings and lists, or keep Raw OCR for comparison and table-ready output for tabular data.
5Copy or export the result
Copy the cleaned text, download a TXT file or export Markdown for notes, documents or AI prompts.
6Convert scanned PDFs to Markdown
For multi-section documents, use the PDF to Markdown page to get structured output with headings and lists.

Pros and cons

Pros

Shows the original file next to the extracted text, which makes checking numbers and names quickAI
Offers Raw OCR, Clean Text, Markdown and table-ready output instead of one plain dumpAI
Dedicated pages for screenshots, images, PDFs and PDF-to-Markdown suit specific jobsAI
States that files are deleted after extraction and not used for model trainingAI
Works from a browser with a simple drag-and-drop upload and TXT or Markdown exportAI

Cons

Image uploads are limited to JPG, PNG, GIF and WebP at a 10MB maximumAI
Handwriting, blurry scans, small text and complex tables still need manual proofreadingAI
Formula-heavy content needs careful comparison of symbols and subscripts with the sourceAI
The homepage gives no pricing details or usage limits, so costs are unclearAI
No API, integrations or batch processing are described on the homepageAI

How much does Deep OCR cost?

Pricing

The page title describes the tool as free, but the homepage lists no plans, prices or usage limits beyond the 10MB image size cap.

Learn more

Features

Text extraction from screenshots, scans, photos and PDFs. Side-by-side review of source and result. Output modes: Raw OCR, Clean Text, Markdown and table-ready. Copy, TXT download and Markdown export. Dedicated image, screenshot, PDF and PDF-to-Markdown pages.

Frequently asked questions about Deep OCR

How much does Deep OCR cost?
The page title describes the tool as free, but the homepage lists no plans, prices or usage limits beyond the 10MB image size cap.
How do you use Deep OCR?
The walkthrough on this page covers 6 steps: 1. Upload an image or screenshot 2. Pick a dedicated workflow if needed 3. Review text beside the source 4. Choose an output mode 5. Copy or export the result 6. Convert scanned PDFs to Markdown.
What platforms does Deep OCR support?
Deep OCR is available on Web App.
What are the limitations of Deep OCR?
Image uploads are limited to JPG, PNG, GIF and WebP at a 10MB maximum. Handwriting, blurry scans, small text and complex tables still need manual proofreading. Formula-heavy content needs careful comparison of symbols and subscripts with the source.