TextSniper vs Shottr
Side-by-side comparison for macOS
TextSniper
7.0Extract text from images and other digital documents
Shottr
8.0Screenshot measurement and annotation tool
| Metric | TextSniper | Shottr |
|---|---|---|
| Category | Productivity | Media & Design |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 84 | 2.8K |
| 90-day Installs | 268 | 7.3K |
| 365-day Installs | 1.0K | 21.1K |
| Version | 1.12.1 | 1.9.1 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 1 | 21 |
| GitHub Forks | - | - |
| Open Issues | - | 1 |
| License | — | GPL-3.0 |
| Language | — | — |
| Last GitHub Commit | 3mo ago | 1y ago |
| First Seen | Nov 28, 2021 | Aug 9, 2023 |
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
Shottr
Shottr is a screenshot measurement and annotation tool designed for precision and ease of use. It offers features like pixel-perfect measurements, customizable annotations, and integration with Alfred for workflow efficiency. Ideal for designers, developers, and anyone needing detailed screenshot analysis.
Shottr allows users to take screenshots, measure pixel distances, and annotate images with precision.
Pros
- + Integration with Alfred for efficient workflow
- + Active development and regular updates
- + Precise measurement and annotation features
- + User-friendly interface for screenshot management
Cons
- - Limited community discussion outside of Hacker News
- - Niche appeal may limit broad adoption