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Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) users statistics

Chrome Web Store · Accessibility

Extract text from images, PDFs & videos in 100+ languages using AI OCR. Fast, secure, free 200 credits.

View on Chrome Web Store Fresh · Nov 1, 2026

Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) has approximately 667 recorded users on Chrome Web Store, ranking #2756 of 6,300 tracked listings.

Users
~667
Public listing page · Nov 1, 2026
7-day growth
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Insufficient history
30-day growth
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Insufficient history
90-day growth
—
Insufficient history
Rank
#2756
Among tracked Chrome Web Store listings

Rating: 4.60 / 5 from 20 ratings

About Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages)

Extract text from images, PDFs & videos in 100+ languages using AI OCR. Fast, secure, free 200 credits.

🚀 Unleash the Power of Magic OCR – AI-Powered Text Recognition for Google Chrome

Transform images, PDFs, documents, videos, and screenshots into editable and searchable text using our powerful Chrome OCR extension. Magic OCR supports 100+ languages.

Whether you're a developer, student, or professional, say goodbye to manual data entry and unlock the speed of digital conversion right inside your browser.

✨ Key Features:

✅ Extract text from images, scanned PDFs, websites, YouTube videos & screenshots ✅ Supports 100+ languages including English, Portuguese (português), Spanish (Español), Arabic (العربية), Chinese (中文), Japanese (日本語), Korean (한국어), Russian (русский), Thai (ไทย), Gujarati (ગુજરાતી), Hindi (हिन्दी), Tamil (தமிழ்), Telugu (తెలుగు), Bengali (বাংলা), and more. ✅ Lightning-fast AI OCR with smart detection ✅ Copy, download, or export extracted text instantly ✅ No account required – includes 200 free credits to get started ✅ Secure & privacy-respecting (no hidden tracking)

🎯 Built for everyone – from coders watching tutorials to researchers handling scanned files, Magic OCR saves time, boosts productivity, and simplifies text extraction.

💡 Works wherever you browse – simply click, capture, and convert visual content into editable text. Perfect for subtitles, PDFs, receipts, forms, and more.

🔓 Get started with Magic OCR today – your AI text recognition toolkit, built for the modern web.

Description from the Chrome Web Store listing.

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Charts

Images: 30d · 1y · all time · 1600×900 dark

Adoption over time

Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) users on Chrome Web Store, last 90 days: 667 users as of Nov 1, 2026.Magic OCR - Extract Text from Images, …Users on Chrome Web Store · Last 90 days~667users600620640660680700720740Aug 3Aug 18Sep 2Sep 17Oct 2Oct 17Nov 1usersNov 1, 2026 – Nov 1, 2026 · 1 observations · Updated Nov 1, 2026pluginstats.com
Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) users on Chrome Web Store, last 90 days: 667 users as of Nov 1, 2026.

7/30/90-day growth

Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) users growth on Chrome Web Store: 7-day growth unavailable, 30-day growth unavailable, 90-day growth unavailable.Magic OCR - Extract Text from Images, …Users growth on Chrome Web Store667users now7-day growthinsufficient historyInsufficient history30-day growthinsufficient historyInsufficient history90-day growthinsufficient historyInsufficient historyGrowth vs. nearest observation to each baseline date · Updated Nov 1, 2026pluginstats.com
Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) users growth on Chrome Web Store: 7-day growth unavailable, 30-day growth unavailable, 90-day growth unavailable.

Ranking history

Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) Chrome Web Store ranking history: currently #2756 (by users).Magic OCR - Extract Text from Images, …Chrome Web Store ranking · by users · Last 90 days#2756current rank#2754#2755#2756#2757#2758Aug 3Aug 18Sep 2Sep 17Oct 2Oct 17Nov 1rankNov 1, 2026 – Nov 1, 2026 · 1 observations · Updated Nov 1, 2026pluginstats.com
Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) Chrome Web Store ranking history: currently #2756 (by users).

Ratings over time

Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) ratings on Chrome Web Store, last 90 days: 20 ratings as of Nov 1, 2026.Magic OCR - Extract Text from Images, …Ratings on Chrome Web Store · Last 90 days20ratings1819202122Aug 3Aug 18Sep 2Sep 17Oct 2Oct 17Nov 1ratingsNov 1, 2026 – Nov 1, 2026 · 1 observations · Updated Nov 1, 2026pluginstats.com
Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages) ratings on Chrome Web Store, last 90 days: 20 ratings as of Nov 1, 2026.

Listing placement

All Chrome Web Store6,299 listings · 315 pages · 1,261 shown · page 138, #16 (overall #2,756)
All Chrome Web Store: every listing in users order

Listing placement

Accessibility271 listings · 14 pages · page 8, #12 (overall #152)
Accessibility: every listing in users order

Filled points are observed values; hollow points come from Internet Archive snapshots of the listing page. Dashed segments span periods with no observations — values between points are not interpolated.

Each band is one page of 20. Users on a linear scale. Placement is projected from users, so it can differ from the marketplace's own sort order. Hover a dot to see the listing.

Recent observations

Full history (1)
Recent users observations for Magic OCR - Extract Text from Images, PDFs & Screenshots (100+ Languages)
Date (UTC)UsersChange vs. previous
667—

Data source

Covers every Chrome Web Store extension with at least 100 users, found through the store's public sitemap. User counts are read from public listing pages. The 10% most-used extensions are refreshed daily, the next 40% weekly and the next 40% monthly; the least-used 10% are not refreshed. Google displays rounded user counts (and caps the display at 10,000,000+), so small changes may not be visible. Rating counts above 1,000 are rounded (e.g. 1.6K).

Listing: https://chromewebstore.google.com/detail/magic-ocr-extract-text-fr/cklfgeknegbomheldjnlcphpgcdnkgfl. First seen Nov 1, 2026; last successful collection Nov 1, 2026. See the methodology.