What's the difference between Personal and Studio?

Personal ($39) is for one person — unlimited use on one active device at a time. Activate on a new device and the old one signs out. Studio ($199) is for teams and commercial client work — unlimited team members, early access to new tools, and a commercial license.

Do I need an account?

No. Use any tool free up to 5 times per day on compute-heavier tools, and unlimited on lightweight ones. No card, no account, no signup required.

Where are my files processed?

Right on your device. Files never upload to any server. Everything runs in your browser — you can verify in DevTools → Network.

What happens if I use my Personal license on a second device?

The new device activates and the old device signs out. Your license key stays the same — you just move it between devices as needed. No limit on how often you switch.

Does this work on my phone?

Yes. Every tool works on iPhone, Android, tablet, and desktop.

What if I want a refund?

30-day money-back guarantee on both tiers. No questions asked. Email sales@cipherforces.com.

Will you add more tools?

Yes. New tools ship regularly. Your license includes every tool we ever release — Studio members get early access.

Pdf

PDF Text Recognition

Extract text from scanned PDFs as a plain-text file using in-browser OCR.

By Daniel BeglaryanUpdated August 2026

PrivateNo Account

No upload Runs in your browser 57+ languages

Drop your PDFs here

or click to browse

PDF

Max 100MB

Extract text from your PDFs

Upload one or more PDFs and OCR pulls out the text — with optional crop regions and 57+ languages, including Armenian.

0/3free today

Deep dive

About PDF Text Recognition.

Extract Text From Scanned PDFs

Drop a scanned PDF — CipherForces runs Tesseract.js OCR on every page and returns the recognized text as a plain-text (.txt) file. For a batch of PDFs, each one’s text is bundled into a ZIP. Supports 57+ languages including English, Spanish, French, German, Chinese, Japanese, Russian, Armenian, and more. No upload: OCR runs on a Web Worker in your browser.

Output is plain text, not a searchable PDF. If you need a PDF with an invisible text layer behind the original image, use a desktop tool such as Adobe Acrobat Pro or ABBYY FineReader — that feature is not yet implemented here.

Common Use Cases

Scanned contracts: Make the text of a paper-scanned legal document searchable and copy-able.
Old books: Digitize scanned historical documents for research.
Receipt archival: Extract line items from receipt photos stored as PDF.
Academic papers: Turn a scanned PDF into quotable, citable text.

Key Features

57+ language support: Latin, Cyrillic, CJK, Arabic, Armenian, Georgian, Hindi, Thai, and more.
Per-page progress: See which page is currently being processed, cancel mid-job.
Crop-region OCR: Draw a rectangle to OCR only a specific region of a page.
Multi-PDF queue: Process up to 20 PDFs / 200 pages total in a single session.

Privacy: Tesseract.js runs entirely in your browser via WebAssembly. Nothing uploads.

FAQ

Frequently asked questions.

How do I extract text from a scanned PDF?

Open the PDF Text Recognition tool, drag in your scanned PDF, and the in-browser OCR reads each page and converts the images into selectable characters. When it finishes, download the result as a plain-text file. There is no signup, and the tool is free to use.

Is my PDF uploaded to a server during OCR?

No. This tool runs entirely client-side in your browser using JavaScript and WebAssembly. Your scanned PDF is processed on your own device and never uploaded to any server, so confidential documents stay private. Nothing leaves your computer at any point during the recognition.

Can I convert a scanned PDF to a text file for free?

Yes. The tool turns a scanned PDF into a plain-text file at no cost, with no account required. It recognizes the text inside the page images and outputs editable text you can copy, search, or save. You can run it on as many PDFs as you like.

Why does a scanned PDF need OCR to extract its text?

A scanned PDF stores each page as an image, so the words are pixels rather than characters a computer can read. OCR, or optical character recognition, analyzes those images and identifies the letters, producing actual text you can select, copy, and search instead of a flat picture.

Three steps