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What is Iris.ai?

At Iris.ai, we have dedicated the past six years to developing an award-winning AI engine that excels in comprehending scientific texts. Our state-of-the-art algorithms for text similarity, extraction of tabular data, learning domain-specific entity representations, and entity disambiguation and linking rank among the finest globally. Additionally, our machine constructs an extensive knowledge graph that encompasses all entities and their interconnections, enabling users to learn from it, utilize it, and also provide feedback to enhance the system further. The Iris.ai Researcher Workspace offers a versatile suite of tools that enables users to tackle projects from multiple perspectives. Its modules feature content-driven exploratory searches, analytical assessments of document collections, systematic extraction and organization of data points, automated summarization of various documents, and highly effective filters based on context descriptions, machine analyses, or targeted data points and entities. Furthermore, the Iris.ai engine for scientific text understanding is a robust interdisciplinary platform that can be automatically fine-tuned for specific research domains, allowing for a deeper machine comprehension without the need for human training or annotation, ultimately streamlining the research process.

What is FigEditor?

FigEditor is a cutting-edge AI application that revolutionizes the way researchers convert their concepts, preliminary sketches, references, and existing visuals into polished, editable graphics that are ideal for academic publications, posters, and presentations. Users can kick off the process by entering a detailed text prompt related to a mechanism, pathway, workflow, experiment, or architectural concept, and they can also upload a rough drawing or a reference image to guide elements like composition, color palette, density, and overall visual arrangement. The tool produces a well-organized draft complete with clear labels, directional arrows, and a systematic layout, enabling researchers to alter text, shapes, colors, connectors, and specific sections without the need to recreate the entire graphic anew. Furthermore, users can transform previously designed PNG or JPG images into vector formats for enhanced editing capabilities. FigEditor operates through a robust multi-step pipeline that not only creates an initial draft but also pinpoints visual elements, extracts clean assets, builds a unified SVG file, and perfects the vector output through a meticulous refinement process. This structured methodology guarantees that users have a powerful resource at their fingertips for crafting high-quality scientific illustrations that can elevate their presentations to a new level. Ultimately, FigEditor simplifies the production of scientific visuals, significantly improving efficiency and ensuring accessibility for researchers engaged in various fields of study. By providing such a user-friendly platform, FigEditor empowers researchers to focus more on their content and less on the intricacies of graphic design.

Media

Media

Integrations Supported

Integrations Supported

GPT Image 1.5
Nano Banana
Nano Banana 2
Nano Banana 2.1
Nano Banana Pro

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$9.50 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Iris.ai

Date Founded

2015

Company Location

Norway

Company Website

iris.ai/

Company Facts

Organization Name

FigEditor

Company Location

United States

Company Website

figeditor.ai/

Categories and Features

AI Science

Not specified

Data Extraction

Not specified

Categories and Features

AI Science

Not specified

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