Apryse OCR SDK vs EasyOCR
Apryse OCR SDK
apryse.comEasyOCR
github.comSide by side
| Figure | Apryse OCR SDK | EasyOCR |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · OCR API Software | 8.2 (#10) | 8.4 (#7) |
| Input formats | Supported inputs include JPEG, PNG, TIFF, BMP, other common image formats, and PDFs containing raster images. | Images can be supplied as a file path, NumPy array, bytes, or URL. |
| Purpose | Apryse OCR turns scanned images and image-based PDFs into searchable PDFs or structured text with position data. | EasyOCR is a Python module for extracting text from images, including natural scene text and dense document text. |
| Support | Apryse says trial users can get free technical support from the SDK developers and customers can contact developers and solution engineers for technical support. | The repository directs enterprise inquiries to Jaided AI for custom OCR/AI implementation, training or fine-tuning, and deployment services. |
Plans
In their own words
Apryse OCR SDK
Apryse OCR SDK has no write-up on Specifiction yet; its figures are above.
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.