Asprise OCR SDK vs EasyOCR
Asprise OCR SDK
asprise.comEasyOCR
github.comSide by side
| Figure | Asprise 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 | 3 | 1 |
| Spec score · OCR API Software | 8.4 (#6) | 8.4 (#7) |
| Spec score · OCR software | 7.9 (#27) | 8.4 (#13) |
| Free plan | No | Yes |
| Languages | The documentation lists more than 20 recognition languages, while the evaluation version recognizes English, Spanish, Portuguese, German, and French. | The project states that it supports more than 80 languages, and compatible languages can be read together. |
| Support | The Java trial download page directs users with problems to Asprise support, and the company contact page lists [email protected]. | The repository directs enterprise inquiries to Jaided AI for custom OCR/AI implementation, training or fine-tuning, and deployment services. |
Plans
Asprise OCR SDK
- Lite$5,998, paid once
- STD$9,998, paid once
- ENT$15,998, paid once
In their own words
Asprise OCR SDK
Asprise 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.