5.0 out of 5 stars
(8 Ratings)
Foxit delivers a robust set of cloud-native APIs that enable organizations to automate and modernize document-driven workflows at scale. Built on flexible REST architecture, these APIs allow developers to seamlessly create, convert, extract, sign, and display documents within their own applications—improving efficiency while reducing manual processes.
The Foxit PDF Services API handles large-scale PDF processing, including conversion, extraction, optimization, and redaction. The Document Generation API streamlines the production of personalized PDFs and DOCX files using dynamic templates and live business data. The Foxit eSign API integrates secure, legally binding eSignature workflows with audit tracking and compliance capabilities. The PDF Embed API provides customizable in-app document viewing with support for annotations, forms, and secure user access.
Combined, Foxit APIs give enterprises a secure and scalable platform for digital document automation and workflow transformation.
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4.9 out of 5 stars
(8 Ratings)
For developers, ARGOS Identity offers two APIs.
ARGOS ID Check (KYC/eKYC): launch the hosted Liveform from one URL in a browser or an iOS, Android or React Native WebView, or build your own capture UI on the Verify engine APIs. Your backend uses the REST API to fetch submissions, review pending cases, delete or partially delete data for GDPR and CCPA requests and download AML reports, and receives webhooks for created, submit, approved, rejected, updated, delete and AML result events. Each check reads the ID with OCR plus MRZ and PDF417 barcode checks, tests ID and selfie liveness, matches the face to the ID photo and screens the user against sanctions and PEP lists, with ongoing monitoring afterwards. Data is processed and stored in the region chosen for each project (US or South Korea), sensitive fields are encrypted with AES-256 at rest, and payload encryption is optional. A migration API imports existing verification records.
ARGOS Omni (Review Ops Agent): authenticate with an x-api-key header, create a profile under a workflow, upload files, text or JSON as items (PDF, DOCX, XLSX, PPTX, images, CSV, HTML, EML and more) and start an asynchronous analysis. The result follows the output schema you defined, with a verdict of verified, rejected or pending_review and the reasoning and source step for each extracted value, and every completed analysis can be downloaded as a PDF report.
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Carmen OCR FleetCode
Carmen® OCR FleetCode is a specialized software library designed to automate the process of recognizing U.S. Department of Transportation (USDOT) numbers that are found on commercial motor vehicles. By efficiently extracting these important identifiers from a variety of image sources, it significantly improves fleet management practices, aids in regulatory compliance, and enhances traffic monitoring systems. The software is capable of processing both still images and live video feeds, guaranteeing accurate data capture under varying camera qualities and lighting situations. With compatibility for both Windows and Linux operating systems, Carmen® OCR FleetCode integrates effortlessly into current infrastructures through an intuitive API, providing support for numerous programming languages, including C, C++, C#, Java, and Visual Basic. Its versatility and reliability make it an essential tool for applications that demand precise vehicle identification and tracking, thereby streamlining operational efficiency and promoting safety within the transportation sector. Furthermore, the integration of this software can lead to improved decision-making processes for fleet operators.
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PaperStream
PaperStream Capture Pro is an advanced software solution designed to convert paper documents and imported digital files into organized, searchable digital data that is ready for any document-management system. It efficiently handles batch scanning with any TWAIN-compatible scanner, ranging from simple desktop models to high-capacity enterprise devices, and incorporates sophisticated image-processing features to enhance scanned images automatically by eliminating noise, correcting skew or rotation, adjusting color discrepancies, and improving overall clarity, which significantly boosts OCR accuracy and readability. The software excels in data extraction with capabilities that include full-text OCR, zonal OCR, barcode and patch-code reading, as well as optical-mark-recognition and handprint recognition for handling handwritten text or checkboxes. Furthermore, it can extract multiple fields from each document, such as information from forms, applications, or surveys, and can intelligently separate documents in mixed batches using methods like blank page detection, barcodes, patch codes, or form-template recognition, all while effectively assigning relevant metadata for easier management. This level of automation not only enhances efficiency but also ensures that organizations can streamline their document processes with greater accuracy and speed.
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