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Accueil » Liste des Apps » Apps Mac » Productivité » TextSniper - OCR, Copy & Paste
1.12.0 macOS €9,99€ Valerijs Boguckis 0 0 Transform any text on your Mac screen into editable, copyable text in seconds. TextSniper works everywhere - capture text from any app, game, PDF, image, or video with a simple click and drag. No more manual retyping from sources that won't let you...
TextSniper - OCR, Copy & Paste

TextSniper - OCR, Copy & Paste

macOS / Productivité

9,99€ au lieu de 12,99€
Acheter sur l'App Store

Transform any text on your Mac screen into editable, copyable text in seconds. TextSniper works everywhere - capture text from any app, game, PDF, image, or video with a simple click and drag. No more manual retyping from sources that won't let you copy text normally.

If you have used a built-in Mac screen capture application before, it wouldn't be any trouble to work with TextSniper, too. Select with a mouse any part of an image, photo, PDF document, app interface, game screen, or anything displayed on your screen, and the app will process and recognize any text within this selection. The text output will be copied to your clipboard so you can paste it into your preferred macOS text editing or note-taking app.

Finally, the app's optical character recognition engine doesn't need an internet connection to process text. Great OCR solution for those who are concerned about privacy. The application does not collect any users' data.

Use Cases:
* Convert different image formats to text (JPEG, PNG, GIF, TIFF, BMP, etc.).
* Pull text from a non-searchable PDF file without a need to process the whole document.
* Read text from images, PDF documents, photos, Zoom meetings, or any other sources.
* Copy text even when it is uncopiable, like in ebooks, web articles, or mobile apps.
* Quickly extract emails, links, phone numbers, etc. from any application.
* Grab text or turn it into speech in video games, streaming apps, or software interfaces.
* Read QR or barcodes from any screen or application.
* Quickly generate alt text from the screenshot for tweets.
* Extract text from locked PDFs, protected content, or read-only applications.

Features:
* On-device OCR technology. No internet connection is needed.
* Instant text recognition from any app, game, or screen content. No need to upload files into the application. OCR document or file on the fly.
* High accuracy and performance in processing any documents or screen content.
* Recognizes even tiny text on images with low-quality or dense background.
* Customizable. Custom keyboard shortcuts to extract text with various options.
* You can have TextSniper speak the recognized text whenever you need it.
* Supports optical character recognition in multiple languages: English, Spanish, French, German, Portuguese, Italian, Traditional and Simplified Chinese.
* Running macOS Ventura: All the above languages plus Ukrainian, Korean, Japanese and Russian.
* Running macOS Sonoma: All the above languages plus Thai and Vietnamese.
* Running macOS Sequoia: All the above languages plus Arabic and Najdi Arabic.
* Running macOS Tahoe: All the above languages plus Turkish, Indonesian, Czech, Danish, Dutch, Norwegian, Malay, Polish, Romanian, Swedish.
* Running macOS Catalina: English language only supported.
* Use your iPad or iPhone camera to capture text from a photo or scanned document quickly.
* Fully compatible with macOS Tahoe and optimised for Apple's M1-M4 chips.

En voir plus...

Quoi de neuf dans la dernière version ?

• Full macOS Tahoe support.
• New recognition languages:Turkish,Indonesian, Czech, Danish, Dutch, Norwegian, Malay, Polish, Romanian, Swedish (macOS Tahoe required)
• Right-click menu bar icon to instantly trigger Capture Text
• Other minor fixes and performance improvements.

If you enjoy using TextSniper, please consider writing a review and sharing your experience. Follow @TextSniperApp on X and contact us at support@textsniper.app if you have any questions, feedback or ideas.

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Détails sur l'application

Version
1.12.0
Taille
6 Mo
Version minimum de macOS
10.15
Dernière mise à jour
15/09/2025
Publié par
Valerijs Boguckis

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