Open-Capture vs PaddleOCR

Open-Capture collects documents, extracts information with OCR and AI, and exports results to third-party management software. It accepts material from scanners, copiers, file drops, email and attachments, web forms, uploads, and web services. Extraction options include Tesseract OCR, pre-trained models, machine-learning classification, key-value extraction, reference-data matching, dictionaries, and barcode or QR-code reading. Extracted fields can be checked against rules, formats, reference data, and scripted business rules. The full-web application runs natively on Linux and can be hosted on-premise or in a public or private cloud. It is free and open-source under the GNU GPLv3 license, with no limit on users. Optional modules include Splitter for preparing batches, Verifier for checking extracted data, and MailCollect for email processing. MailCollect analyzes messages, identifies senders, extracts metadata, and routes attachments into processing workflows. Verifier is described for structured or semi-structured documents such as invoices, delivery notes, contracts, and purchase orders. Listed connections include a native MEM Courrier connector, CMIS, OpenADS/Oxalis, OpenCRM, Alfresco, and SharePoint; export formats include PDF, PDF/A, XML, CSV, and plain text.

PaddleOCR is an open-source OCR and document-processing toolkit for extracting text and structure from documents. Its PP-StructureV3 component turns complex PDFs and document images into Markdown and JSON while preserving their organization, and supports table extraction. PaddleOCR-VL handles multilingual document parsing across 109 languages, while PP-OCRv6 supports 50 languages in one model. PaddleOCR 3.0 also recognizes handwriting. For large document collections, PP-ChatOCRv4 extracts key information and integrates ERNIE 4.5. Models can be used online through the official website or called through an API; the official free API allows up to 20,000 pages of document parsing per day. Documentation describes local, C++, service, Android, iOS, and browser deployment options, among others. The license permits use, modification, distribution, and sale without restriction. SDK languages listed are Python, TypeScript, and Go. Support is available through GitHub Issues. One compatibility note: code written for PaddleOCR 2.x may not run with version 3.x.