EasyOCR vs Regula Document Reader SDK
EasyOCR
github.comRegula Document Reader SDK
regulaforensics.comSide by side
| Figure | EasyOCR | Regula Document Reader SDK |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · OCR API Software | 8.4 (#7) | 7.4 (#26) |
| Security | The maker pages reviewed do not state a security certification or compliance claim for EasyOCR. | Regula says its software products' executive management, engineering, and sales are covered by an Information Security Management System certificate conforming to ISO 27001:2022. |
| Support | The repository directs enterprise inquiries to Jaided AI for custom OCR/AI implementation, training or fine-tuning, and deployment services. | Regula directs technical support requests to its Help Center. |
Plans
Regula Document Reader SDK
- Free trialFree
- Custom licensingPriced on request
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.
Regula Document Reader SDK
Regula Document Reader SDK reads identity-document data and checks document quality and authenticity for identity verification services. Regula says its database contains more than 16,500 document types from 254 countries and territories. Depending on component and license, checks can include visual-zone OCR, MRZ and barcode processing, RFID chip reading, image quality assessment, and authenticity checks. The SDK supports passports, ID cards, driver's licenses, visas, mobile driver's licenses, and other identity documents. Mobile driver's license verification can use QR codes and NFC, with retrieval via Bluetooth and NFC. Integration options include mobile SDKs, browser web components, a web service, direct API integration, and connection with Regula Face SDK. The web service can be deployed through Linux package repositories, Windows installers, Docker images, or cloud options such as AWS. A free trial is listed at free, billed 30 days, with 2,000 transactions and no feature limits. Custom licensing uses flexible pricing based on usage and business needs, with pricing on request. Offline licensing is limited to desktop and the Document Reader Web Service on Windows and is unavailable for Docker.