Paperly
Upload PDF

Batch OCR

Make up to 5 scanned PDFs searchable in one run.

Run OCR on several scanned PDFs at once and download each one with a searchable text layer. All files share the same language selection and quality setting; one failing file is skipped without blocking the rest.

Your files are processed locally in your browser. Nothing is uploaded to a server, ever.

Options

Pick one or more. Selecting several helps mixed-language documents (e.g. English + Hindi).

Tip

Drop your file here or click to browse. Everything is processed on this device — nothing is uploaded.

Quick answers

What does this tool do?
Make up to 5 scanned PDFs searchable in one run. Run OCR on several scanned PDFs at once and download each one with a searchable text layer. All files share the same language selection and quality setting; one failing file is skipped without blocking the rest..
Is it free?
Yes — free and unlimited, with no account required and no watermark on the result.
What files are supported?
PDF files, up to 100 MB each, up to 5 at once.
Where is my file processed?
Entirely in your browser. Your file never leaves your device — nothing is uploaded to a server.
What are the limitations?
Up to 5 PDFs, 15 selectable languages (multi-select). Files are OCRed one at a time in the browser, so a long batch on a large machine is slower than a single-file run. Handwriting is not recognized.
What happens if processing fails?
You get a clear message explaining what went wrong and how to fix it (try another file, check the format, or start over). Your original file is never touched.

How to Batch OCR

  1. Add up to 5 scanned PDFs.
  2. Pick the languages used in the documents and a quality setting.
  3. Click "Process" — each file is OCRed page by page.
  4. Download the searchable PDFs; any file that failed is reported under the result notes.

Frequently asked questions

Up to 5 PDFs per run, each up to 100 MB. OCR runs in the browser, so total time depends on your device.

Common problems and fixes

  • Extracted text is gibberish

    Why: the pages are scans — the file has no text layer, so there is nothing real to extract.

    Fix: run the OCR PDF tool first, then extract the newly searchable text.

  • Table rows merge into one line

    Why: detection is position-based, and dense or merged-cell layouts confuse simple row grouping.

    Fix: crop the page to the table region first, then extract — or export as XLSX and fix merges in your spreadsheet app.

  • Images come out lower quality than the PDF

    Why: extraction saves each embedded image at the resolution it was stored at — some PDFs are created with downsampled images.

    Fix: check the source quality first; extraction cannot invent resolution that was never embedded.

Who uses Batch OCR?

  • Analysts and accountants — pulling tables out of statements and reports straight into a spreadsheet.
  • Writers and designers — reusing figures, charts and logos from existing documents.
  • Search and AI pipelines — getting plain text out of PDFs for indexing or language-model input.