News
OpenAI Adds New Canvas Feature To Its ChatGPT Interface
The collaborative work tool can be used for both writing and coding projects.
OpenAI has launched a new workspace tool for ChatGPT known as Canvas. The feature, introduced in a recent blog post, is now accessible to ChatGPT Plus and Team subscribers, with Enterprise and Edu users set to gain access next week.
Canvas provides a dedicated virtual space for writing and coding projects, allowing users to collaborate more efficiently with ChatGPT. It opens a separate window next to the chat interface, where users can place writing or code and select specific sections for the model to review. OpenAI describes it as functioning like a “copy editor or code reviewer”.
For writing tasks, ChatGPT can offer suggestions for edits, change text length, or adjust reading levels. It can even add relevant emojis for emphasis and color. Coders benefit from inline recommendations, debugging help, and the ability to translate code into various programming languages such as JavaScript, Python, or C++.
Also Read: Top Free AI Chatbots Available In The Middle East
With the introduction of Canvas, OpenAI has aligned ChatGPT with similar AI tools, such as Anthropic’s Artifacts and Cursor, which focus on project-specific workspaces.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics
Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
Nano Banana 2 Arrives In MENA For Google Gemini Users
GluCare Rebrands To Metabolic, Dropping Diabetes-Only Identity
Apple’s March 4 Event Rumored To Put New Macs In Play
Google Adds Arabic AI Music Creation For Ramadan
