How to copy text from images in the browser while keeping processing local

Notes & Knowledge

This task focuses on extracting visible text from images using on-device processing. It emphasizes privacy, reliability, and clear steps to implement locally.
Goal: Copy text from images in the browser without external processing.
Approach: Use on-device approaches and privacy-preserving workflows to extract text locally.

Who is this for?

- Web developers seeking privacy-first text extraction.
- Teams needing client-side OCR for compliance.
- Content creators who want immediate results without back-end calls.
- Educators exploring on-device tools for text capture.

Before you start

- Access to the page or app where images are rendered.
- Basic familiarity with on-device processing concepts.
- A local development environment to test changes.

General Process (How it works)

Prepare the page for local processing Identify where image data is located on the page and ensure the extract runs in the browser without network calls.
Choose a local-processing approach Select an on-device OCR or text-extraction flow that runs entirely in the client.
Extract text from the image Apply the chosen method to the image data and capture the resulting text.
Validate accuracy and errors Compare extracted text against the visible content and handle common OCR issues.
Render results on the page Display the text in a user-friendly way without sending it to external services.
Test across images and browsers Verify stability with different images and local environments to ensure reliability.
Document privacy notes Record what data is processed locally to support privacy claims and audits.

Watch out in Free Plans

❌ Relying on local processing can be affected by device performance and available resources.

❌ Text extracted in a session may not persist without additional client-side storage.

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