Free PDF Page to Text

Your images never leave this device.

Free PDF Page to Text turns photos, screenshots, and PDF pages into editable text with zero server uploads. Built for privacy-conscious users in Kigali, Rwanda, and worldwide, the app keeps every pixel on your device while Tesseract.js performs optical character recognition in the browser.

Drop JPG, PNG, or WebP images, paste a screenshot from the clipboard, or capture a new photo on your phone. Run batch OCR on several files, then copy or download plain .txt. PDF support renders each page locally before recognition — handy for scans and exported documents.

Pick English, French, or Swahili (and more packs on demand) before you run OCR. Language files load lazily from a CDN, so the site stays fast on mobile networks. We checked for an official Kinyarwanda (rw/kin) traineddata release; none is published in the standard tessdata repository, so we do not list Kinyarwanda to avoid poor results.

Whether you need pdf to text for schoolwork, invoices, or street signage, this free converter keeps the workflow obvious: upload or paste, choose a language, watch real progress, then copy or save text. No fake download buttons — just honest client-side OCR.

Frequently asked questions

Is this image to text tool really free?

Yes. Free Image to Text runs entirely in your browser using open-source Tesseract.js. There are no upload quotas or paywalls for OCR.

Do my images leave my phone or computer?

No. Recognition happens on your device. We do not operate a backend that receives your files.

Which languages are supported?

You can load English, French, Swahili, and additional packs on demand from the language menu. Language data downloads only when you select it.

Can I convert PDF pages?

Yes. Each PDF page is rendered locally, then OCR runs page by page. Large scans may take longer but stay private.

Is there Kinyarwanda OCR?

Not yet. Tesseract does not ship an official Kinyarwanda traineddata file we could verify, so we do not offer a language option that would mislead users.