Why this tool is useful
Recover selectable text from image-only statements, letters or archived scans when the PDF has no usable embedded text layer.
Local File Tools · runs locally
Private Scanned PDF to Text OCR
Render up to ten pages from a scanned PDF and recognize their English text sequentially in one local OCR worker without uploading the document.
Ready. Your working data stays in this browser.
Files and capture streams stay on this device. Processing uses browser APIs only; nothing is uploaded to YTSave, the media API or a proxy.
How it works
Pinned PDF.js renders each bounded page in order; one pinned Tesseract.js worker recognizes the canvas, releases it, and moves to the next page under a total pixel budget.
Practical example
Choose a three-page scanned letter, use 1.5× automatic layout, review each page separator and confidence summary, then download one UTF-8 text file.
Validation
The calculation is deterministic and explains validation errors instead of silently changing invalid input.
Privacy boundary
Input and output remain in this tab. Copy and download happen through browser APIs without a server upload.
Result passport
Every run reports its tool mode, timestamp and input/output size so transformed data can be audited.