PatoAviador

PatoAviador / ocr-tool

Public

Local web app for OCR of scanned PDFs and images using Tesseract

19
3
100% credibility
Found Apr 15, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A local web app that lets users upload scanned PDFs or images, select a language, and download extracted plain text via browser.

How It Works

1
🔍 Discover the OCR Tool

You learn about a handy tool that turns scanned papers, PDFs, and photos into editable text without needing fancy software.

2
💻 Prepare on Your Linux Computer

Get the tool ready by downloading it and adding the text-reading helpers your computer needs.

3
▶️ Launch the Service

Start the tool with a simple command so it runs quietly in the background.

4
🌐 Visit in Your Browser

Open any web browser and go to the local web address to see the friendly upload screen.

5
📤 Upload and Choose Language

Drag your scanned file onto the page or click to select it, then pick the language of the text inside.

6
⚡ Extract the Text

Hit the process button and watch as the magic happens, turning images into readable words.

✅ Download Your Text File

Grab the new plain text file that downloads automatically, now ready to copy, edit, or search effortlessly.

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Star Growth

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AI-Generated Review

What is ocr-tool?

ocr-tool is a free OCR tool on GitHub that runs as a local web app for extracting text from scanned PDFs and images like PNG or JPG using Tesseract. Built with Python and Flask, it solves the hassle of cloud-based OCR by letting you upload files via drag-and-drop in any browser on your local network, select from languages like English, Spanish, French, or others, and auto-download a plain TXT file. No client installs needed—just spin up a local webserver on Linux and access it at localhost:5050.

Why is it gaining traction?

It stands out as a local GitHub alternative to pricey online OCR services, keeping your docs private on your machine without data uploads. Developers dig the systemd service for auto-start, file size limits up to 100MB, and PDF DPI tweaks for better accuracy on technical reports. The simple interface with a shutdown button and easy language adds make it a quick local webserver win over bloated alternatives.

Who should use this?

Researchers digitizing historical typed docs or aeronatical reports need this for batch OCR without subscriptions. Linux sysadmins handling scanned invoices or multilingual images will appreciate the local website hosting setup. Devs prototyping local web apps or needing an OCR PDF tool on GitHub for offline workflows should grab it.

Verdict

Grab it if you want a dead-simple local OCR setup on Ubuntu—docs are solid for quick deployment, but with 19 stars and 1.0% credibility score, it's early-stage and Linux-only, so test thoroughly before production. Solid for personal use, skip for cross-platform needs.

(178 words)

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