TextSniper vs TextGrabber2
Side-by-side comparison for macOS
TextSniper
7.0Extract text from images and other digital documents
TextGrabber2
8.0Menu bar app that detects text from copied images
| Metric | TextSniper | TextGrabber2 |
|---|---|---|
| Category | Productivity | Productivity |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 84 | 7 |
| 90-day Installs | 268 | 20 |
| 365-day Installs | 1.0K | 88 |
| Version | 1.12.1 | 1.10.2 |
| Auto-updates | Yes | No |
| Deprecated | No | No |
| GitHub Stars | 1 | 213 |
| GitHub Forks | - | 8 |
| Open Issues | - | 1 |
| License | — | MIT |
| Language | — | Swift |
| Last GitHub Commit | 3mo ago | 2mo ago |
| First Seen | Nov 28, 2021 | Jun 11, 2025 |
Reviews
TextSniper
TextSniper is a macOS OCR tool that extracts text from images and videos, offering a quick and efficient way to digitize content. It benefits users needing to transcribe text without manual input, such as researchers, writers, or anyone working with digital documents.
Extracts text from screenshots, images, and videos on macOS.
Pros
- + Efficient text extraction from various sources
- + Quick and user-friendly interface
- + Cross-application functionality
Cons
- - Early-stage project with limited community support
- - Potential for occasional text recognition errors
TextGrabber2
TextGrabber2 is a menu bar app that automatically extracts text from images you copy, saving time by eliminating the need to open image editors. It's ideal for users who frequently work with text in images, such as journalists or social media managers.
Monitors copied images and extracts text automatically, presenting it for easy use.
Pros
- + Convenient menu bar integration for easy access
- + Automates text extraction from images, saving time
- + Open-source with an MIT license, promoting transparency and community involvement
Cons
- - Lacks auto-update functionality
- - Low recent installation numbers indicate limited adoption