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OCR to Text (Images + PDF)

Extract text from images and scanned PDFs in your browser using OCR, with per-page selection for PDF input.

Runs in your browser. Tool inputs stay local.

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About this tool

What this utility handles in a production workflow.

  • Extract text from images and scanned PDFs in your browser using OCR, with per-page selection for PDF input.
  • Quick ocr to text workflows when you need immediate output without leaving the browser.
  • OCR to Text (Images + PDF) helps with image to text tasks while keeping processing local.
  • Focused workflow for ocr to text (images + pdf) tasks such as ocr to text, image to text, pdf ocr, scanned pdf to text.
  • File count limit: up to 20 files.
  • Runs in your browser so output is available immediately for copy or download.

How OCR to Text works

  1. Add image files or one PDF

    Use JPG/PNG/WEBP images for image mode, or upload one PDF and select pages by thumbnail when running PDF OCR.

  2. Pick OCR quality settings

    Choose Fast or Best preset and set DPI/scale for PDF rendering. Higher DPI is slower but can improve recognition quality.

  3. Run OCR worker in-browser

    Tesseract worker execution stays local in your browser. Pages/files are processed sequentially with per-item progress updates.

  4. Copy or download extracted text

    Review combined output, copy to clipboard, download TXT, or export per-page ZIP text files in PDF mode.

Use cases

  • Quick ocr to text workflows when you need immediate output without leaving the browser.
  • OCR to Text (Images + PDF) helps with image to text tasks while keeping processing local.
  • Useful for content editing, cleanup, writing QA, and copy preparation workflows.

Browser OCR for Scans, Screenshots, and Page Images

OCR is essential when text exists only as pixels. This tool handles that locally in-browser by combining page/image rendering with OCR recognition, so you can process scans without uploading sensitive files to third-party conversion services. It supports common image formats plus single-PDF workflows where pages are rendered to canvases before recognition.

PDF mode includes thumbnail page selection to keep heavy OCR work focused on relevant pages. You can select pages directly, use range input when needed, and choose DPI/quality presets depending on whether speed or accuracy matters more for the current job. Per-page warning handling keeps long runs resilient by continuing past failures instead of aborting the entire job.

Results are operationally friendly: preview combined text, copy to clipboard, download a single TXT, or export per-page ZIP text files for PDF runs. As with all OCR pipelines, accuracy depends on source quality, language, and layout complexity, but this workflow gives you practical controls and local privacy by default.

Limits and privacy

  • File limit: up to 20 files per run.
  • Per-file limit: 20 MB.
  • Page limit: up to 30 pages.
  • Very large pasted text, mixed encodings, or unusual punctuation can change formatting behavior and may need a second pass.
  • File count limit: up to 20 files.
  • Per-file size limit: 20 MB.
  • Page limit: up to 30 pages per document.

This tool runs fully in your browser session. Raw inputs stay local and are not uploaded for transformation.

Frequently asked questions

What does OCR to Text (Images + PDF) handle best?

Extract text from images and scanned PDFs in your browser using OCR, with per-page selection for PDF input. It is tuned for common ocr to text workflows with browser-first processing.

Does OCR to Text (Images + PDF) upload files or text for processing?

No. Processing runs locally in your browser tab. Backend services are not used for conversion or transformation.

What limits apply to OCR to Text (Images + PDF)?

File limit: up to 20 files per run. Per-file limit: 20 MB. Page limit: up to 30 pages.

Why can results vary between inputs in OCR to Text (Images + PDF)?

Very large pasted text, mixed encodings, or unusual punctuation can change formatting behavior and may need a second pass.

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