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Photo2Text

Free, privacy-first browser OCR tool that extracts text from images in English, Urdu, and Arabic without server uploads.

About Photo2Text

Photo2Text is a free, browser-based optical character recognition utility that extracts editable text from images without uploading files to remote servers. Designed for privacy-conscious users, the platform processes image files locally using WebAssembly technology. By keeping all pixel processing directly within the client browser, it eliminates data transmission risks and preserves document confidentiality.

The platform features dedicated OCR models for English, Urdu, and Arabic text recognition. Recognizing complex non-Latin scripts often presents challenges due to connected letterforms and Nastaliq font styles, so the engine provides tailored language selection to improve output accuracy. Users can upload standard file formats including JPG, PNG, and WebP, or capture images directly using mobile device cameras.

Extracting text involves dropping an image into the interface, selecting the corresponding language, and triggering the recognition engine. Once processed, the extracted content appears in an interactive editor where users can make immediate corrections, copy the text to their system clipboard, or export the completed transcription as a plain text document.

Photo2Text requires no user accounts, email signups, or software installations. After the initial language model download from a public content delivery network, the application caches model data locally to facilitate offline usage. It provides a lightweight, frictionless solution for transcribing receipts, physical documents, whiteboards, and digital screenshots.

Features

  • No image uploads: OCR runs in the browser on device
  • Supports English, Urdu, and Arabic text extraction
  • Download extracted text as .txt file
  • Integrated text editing workspace with one-click clipboard copying and plain text file download options
  • Offline-capable architecture caching language models locally in browser storage after initial retrieval

Use cases

  • Extract Urdu text from photos or scans locally
  • Convert Arabic text in images to editable text
  • Pull text from screenshots like error messages or receipts
  • Digitizing physical notes, meeting whiteboards, and lecture slides captured via smartphone cameras
  • Performing offline text extraction in low-connectivity or air-gapped browser environments

Frequently asked questions

Is this really free? Any limits?

Yes, Photo2Text is free with no signup or daily limits; limits depend on your device speed and image size (up to about 10MB).

Are my images uploaded anywhere?

No, images never leave your device as OCR runs entirely in your browser.

How accurate is the Urdu/Arabic OCR?

Accuracy depends on lighting, focus, resolution, and script complexity, being best with clear, high-contrast photos.

What image formats and file size limits apply?

Photo2Text supports JPG, PNG, and WebP image formats, with a recommended maximum file size of approximately 10MB.

Can Photo2Text process multi-page PDF documents?

No, version 1 supports single-image extraction only, though users can convert PDF pages into PNG or JPG images to extract text.

What we verified

Public API
No (Client-side browser utility, no public API offered)
Self-hostable
No (Hosted web service)
Free tier
Yes (100% free with no daily limits or quotas)
Pricing model
Free
Price
$0 (Free)
Data region
Local / Browser (All image processing and OCR happen locally in the user's browser; images never leave the device)
Integrations
Web Clipboard API, Tesseract.js, HTML5 File API

Could not be verified

Specific release dates for planned multi-image batching and native PDF rendering features
Specific accuracy percentage benchmarks across varying font weights and resolutions
Public open-source repository for the application front-end wrapper

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