PackageX OCR API turns any smartphone into an incredibly powerful universal label scanner. It can read every bit of text, including barcodes, QR codes and other information on the label.
Our OCR technology is the best in the industry. It uses proprietary algorithms and deep learning models to extract information from labels.
Our OCR API has been trained using information from more than 10 million labels. This allows for the highest scanning accuracy in the market, at over 95%.
Our technology can scan in low-light conditions and read labels from any angle.
Create your own OCR scanner app to eliminate pen-and-paper inefficiencies.
Our OCR scanner allows you to extract information from printed text or handwritten labels.
Our OCR software is trained using multilingual label data extracted in over 40 countries.
Detect and extract information from barcodes or QR codes.
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Eurekos is the customer training LMS built to educate the world outside your organization – partners, distributors, resellers and the networks beyond. Most companies spend years perfecting their product or service, then hand customers a repurposed employee training course and hope for the best. When those customers churn, the product gets the blame. Usually, the training is the problem.
Eurekos fixes that. We help you turn training from a cost into a growth engine. The ability to sell courses, accreditations and learning paths directly through the platform doesn’t just help retain business. It transforms customer education into a revenue stream.
The same thinking runs through the entire platform – in how Saga AI adapts every learning journey to the individual, in how training portals can be customized to different customers and regions, and in how we work with you long after you go live.
Eurekos Product Features:•Saga AI –Saga AI delivers contextual knowledge discovery, automated content creation and adaptive learning paths that adjust to each learner's behavior and progress. • Learning journeys and adaptive paths – Build any training path imaginable.• Built-in course authoring – 40+ customizable, interactive authoring tools built directly into the LMS. • Certification and accreditation – Create, manage and track complex certification programs with full automation..• Security and compliance – ISO/IEC 27001 & 27701 certified. • Unlimited branded portals – Deploy separate, fully branded learning environments for different cust. segments, partners or regions.• eCommerce • Mobile learning – Native mobile app for iOS and Android.• Global reach – 195+ languages with full localization support. Cloud and on-premise options.• Integrations and API – Open API & 40+ integrations
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Devstral 2
Devstral 2 represents a cutting-edge, open-source AI model designed specifically for software engineering, going beyond mere code suggestion to comprehend and manipulate entire codebases, which allows it to perform tasks such as multi-file modifications, bug corrections, refactoring, dependency management, and generating context-aware code. The Devstral 2 suite comprises a robust 123-billion-parameter model and a more compact 24-billion-parameter version, known as “Devstral Small 2,” providing teams with the adaptability they need; the larger variant is optimized for complex coding challenges that require a thorough understanding of context, while the smaller version is suitable for operation on less powerful hardware. With an impressive context window of up to 256 K tokens, Devstral 2 can analyze large repositories, monitor project histories, and ensure a coherent grasp of extensive files, which is particularly beneficial for tackling the complexities of real-world projects. The command-line interface (CLI) enhances the model's capabilities by keeping track of project metadata, Git statuses, and the directory structure, thereby enriching the context for the AI and rendering “vibe-coding” even more effective. This combination of advanced features positions Devstral 2 as a transformative tool in the software development landscape.
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GLM-5.3-Flash
GLM-5.3-Flash is a multimodal foundation model from Z.ai built for high-efficiency reasoning, coding, agents, and visual understanding. The model contains 320 billion parameters in total but activates only 18 billion parameters during inference, helping reduce compute requirements. Its architecture combines linear attention with sparse attention so it can efficiently handle both local dependencies and relevant information spread across very long contexts. Z.ai also introduced IndexPool to reduce the memory and latency overhead associated with long-context retrieval at context lengths reaching one million tokens. The model was pretrained on a 30-trillion-token multimodal dataset that incorporates both textual and visual information. GLM-5.3-Flash is designed for software engineering tasks, autonomous workflows, frontend development, computer use, document analysis, and other professional workloads that benefit from visual reasoning. Its visual coding capabilities allow it to inspect rendered interfaces, identify layout or interaction problems, and use those observations to revise its work. Benchmark results published by Z.ai show that it improves substantially over GLM-5.2 on multiple coding and agentic tests while remaining competitive with more expensive frontier models. GLM-5.3-Flash can be accessed through Z.ai services and is also available as downloadable model weights for deployment through supported open inference frameworks.
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