LocalKit
Visit LocalKit.app
Local-first OCR Tool

PDF to Text

Drop a PDF with scans or mixed layouts to unlock quick, searchable text exports without sending pages to a server.

Extract searchable text from multi-page PDFs locally. Accepts images (JPG, PNG, HEIC) and PDFs up to 10 pages.

Drag & drop supported. Processing happens locally in your browser; nothing is uploaded.

How to use PDF to Text

Research packets, legal binders, and product manuals often live as PDFs. This preset flattens each page locally, boosts clarity, and stitches the final transcript with page markers so you can search, summarize, or quote without juggling multiple viewers. It respects embedded text layers when available and falls back to high-resolution rasterization when a page is scanned or camera sourced.

  1. Upload your PDF or drag it into the dropzone. Up to ten pages are processed in a single run to keep things fast.
  2. Allow the worker to rasterize each page and enhance contrast. You will see the progress counter tick upward as pages finish.
  3. Browse the combined transcript complete with page dividers. Copy passages or clean up formatting as needed.
  4. Download the TXT export to keep a searchable archive or feed it into downstream tooling.

If you have a larger document, split it into sections and run them back-to-back. Keeping batches smaller ensures quick turnarounds while preserving the on-device privacy guarantees. Use the exported page dividers to cross-reference the original PDF when citing passages or handing notes to teammates.

FAQ

How many pages can I upload?

This preset supports PDFs up to 10 pages per run to keep things fast. Split larger documents into batches for best results.

Does it keep page breaks?

Yes. Page markers are inserted between sections so you can tell where each PDF page begins.

Can I process offline?

Once the page loads, you can run OCR without a connection because all processing is local.

Will it read embedded text?

Embedded text is extracted directly; scanned pages are rasterized before OCR so everything ends up in the output.

Related tools

Table ExtractorInvoice to CSVID Redaction + OCR