Qredo is a web-based tool for generating, customizing, and managing both dynamic and static QR codes. It is designed to support teams and businesses that run QR workflows across various real-world touchpoints, such as retail promotions, restaurant menus, events, conferences, gyms, studios, support workflows, and app installations. The platform requires no signup to begin creating QR codes and is available free of charge, with unlimited QR code generation and no credit card required.
Users can create a variety of QR code types, including those that open URLs, display plain text, connect to WiFi, share contact information via vCard, send emails or SMS messages, and facilitate app downloads or share PDF documents. Qredo allows for instant QR code generation by pasting a link, text, or file, and offers customization options such as adding logos, changing colors, and selecting frames to match branding needs.
The tool supports dynamic QR codes, enabling users to edit destinations at any time after creation. It also provides analytics features, allowing users to track who scans their codes and where, as well as analyze scan data to measure the performance of QR code campaigns. These capabilities are intended to help organizations understand and optimize the impact of their QR-driven interactions.
Qredo operates entirely online through its web application and does not require users to register or provide payment details. Its focus on team workflows and campaign tracking positions it as a solution for businesses and organizations seeking to manage QR code campaigns efficiently and with flexibility.
In the QR codes & short links space, Qredo takes a focused approach. It focuses on generating and tracking QR codes for business workflows without cost or technical barriers. It is built as a B2B product for small businesses and teams. It is available for free. Qredo is available on the web.
Qredo first shipped in 2023. Among its 8 catalogued features are Dynamic QR codes, Static QR codes, and real-time analytics.
Summary written by a language model from the project’s public pages.
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