Max Access
Max Access leverages Artificial Intelligence to scan all your website’s photos and images, and produce Alt Tags and captions. Max Access’s robust image recognition AI can accurately describe thousands of images in seconds. You can easily review and mange your Alt Tags in the back-end dashboard giving you full control and better search engine optimization. Choose from the full featured toolbar or the minimalist toolbar, change colors, and icons to match your brand. Go the extra mile with extended remediation reports. Get details by page or by article and filter by WCAG, section 508, or color contrast. Identifies exact elements, code, and screenshots.
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AnyParser
AnyParser, developed by CambioML, is a real-time parser designed to extract content from various file formats, including PDFs, DOCX files, and images. It offers features such as full content parsing, key-value extraction, and table extraction, providing accurate and efficient data retrieval. The platform utilizes advanced Vision Language Models (VLMs) to enhance document retrieval accuracy by up to 2x compared to traditional OCR models, ensuring precise extraction of text, tables, charts, and layout information. AnyParser prioritizes client privacy by processing data locally, ensuring that sensitive information remains confidential and secure. The API is designed for seamless enterprise integration, allowing users to customize extraction rules and output formats according to their specific needs. With support for multiple file formats and a user-friendly interface, AnyParser streamlines data extraction processes, making it a valuable tool for businesses.
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Screenshot touch
Capture by touch (Notification area, overlay icon, shaking the device). Record video cast of screen to mp4 with options (resolution, frame rate, bit rate, audio). Web page whole scroll capture (with an in-app web browser). There are two ways to scroll capture. One is to share the url in a web browser and select Screenshot Touch. The second is to call the in-app browser directly by pressing the globe icon on the settings page. Drawing on captured image (pen, text, rectangle, circle, stamp, opacity and so on). Sharing screenshot images to other installed apps (user controlled). Capture options (choose the save directory, optional subfolders, file format, jpeg quality, capture delay and so on). Persistent notification (optional): This allows the notification to always remain present which cannot be swiped away. It quickens the accessibility of Screenshot touch. Multiple saving folders: This allows you to create subfolders in a categorising manner for grouping your screenshots.
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GLM-4.5V-Flash
GLM-4.5V-Flash is an open source vision-language model, designed to bring strong multimodal capabilities into a lightweight, deployable package. It supports image, video, document, and GUI inputs, enabling tasks such as scene understanding, chart and document parsing, screen reading, and multi-image analysis. Compared to larger models in the series, GLM-4.5V-Flash offers a compact footprint while retaining core VLM capabilities like visual reasoning, video understanding, GUI task handling, and complex document parsing. It can serve in “GUI agent” workflows, meaning it can interpret screenshots or desktop captures, recognize icons or UI elements, and assist with automated desktop or web-based tasks. Although it forgoes some of the largest-model performance gains, GLM-4.5V-Flash remains versatile for real-world multimodal tasks where efficiency, lower resource usage, and broad modality support are prioritized.
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