docTR vs Regula Document Reader SDK

docTR is a free deep-learning OCR library for finding and recognizing text in documents, aimed at document automation and research. Its pretrained OCR predictors first detect text and then recognize it, while a layout predictor identifies regions such as tables, figures, and headers. It reads PDFs and images; web-page input requires the optional HTML extra. Results can be rendered as plain text or exported as a JSON-serializable nested dictionary. The project describes its predictors as optimized for CPU and GPU inference. Users can train custom detection, recognition, layout, and table-structure models when pretrained models are not suitable. Documentation covers loading and sharing models through the Hugging Face Hub, and includes a minimal REST API deployment template and a browser demo. Installation is available through pip, Git, or official Docker images. The library requires Python 3.11 or higher, and pretrained weights download on first use and are cached locally. For AWS Lambda, the guide advises disabling multiprocessing and placing the model cache within /tmp. The project uses the Apache License 2.0.

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.