EasyOCR vs ocrs
EasyOCR
github.comocrs
github.comSide by side
| Figure | EasyOCR | ocrs |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · OCR API Software | 8.4 (#7) | 7.5 (#23) |
| Installation | The maker documents installation through pip, from source, or with Docker; Windows users may need to install PyTorch manually first. | The CLI can be installed with Cargo using `cargo install ocrs-cli --locked`; installing it requires Rust and Cargo. |
| License | The public GitHub repository identifies EasyOCR as licensed under Apache-2.0. | The repository lists Apache-2.0 and MIT licenses. |
| Purpose | EasyOCR is a Python module for extracting text from images, including natural scene text and dense document text. | ocrs is a Rust library and CLI tool for extracting text from images using OCR. |
Plans
In their own words
EasyOCR
EasyOCR is a Python module that extracts text from images, including natural scene text and dense document text. The project says it supports more than 80 languages, and compatible languages can be processed together. Its readtext method can return recognized text with bounding-box coordinates and confidence values, or provide text alone. Inputs can be image paths, NumPy arrays, bytes, or URLs. The Reader can use a GPU when available or run in CPU-only mode. Pretrained models download automatically during use, with manual downloads available for offline environments. The API also allows custom recognition networks and settings for detection, recognition, decoding, and text-box merging. Installation options include pip, source, and Docker; Windows users may need to install PyTorch manually first. A web demo is available, and the repository says EasyOCR is integrated into Hugging Face Spaces through Gradio. The public repository identifies the project as Apache-2.0 licensed. There is no paid plan listed. Handwriting recognition is not supported; the README lists it as planned work.