Back to News

Free AI Writing and Text Generation Tools

Hacker News - AI
Jul 14, 2025 16:41
treasure2seek
1 views
hackernewsaidiscussion

Summary

The article highlights a range of free AI writing and text generation tools, including those offered by Grammarly, that assist users in drafting, editing, and improving written content. These tools demonstrate the growing accessibility and sophistication of AI-powered writing assistants, signaling broader adoption and integration of AI in everyday communication tasks. This trend may further enhance productivity and democratize high-quality writing support.

Article URL: https://www.grammarly.com/ai/ai-writing-tools Comments URL: https://news.ycombinator.com/item?id=44562184 Points: 1 # Comments: 0
Read Full ArticleMore News

Related Articles

Early Investor Who Bought XRP at Its $0.0028 All-Time Low Exits with 85,614% Profit, AI Identifies 1 Token That Can Pull Off a Similar Run

Analytics InsightJul 14

An early investor who purchased XRP at its all-time low of $0.0028 has exited with an 85,614% profit, highlighting the potential for massive gains in the crypto market. The article notes that AI tools have identified another promising token that could experience similar exponential growth. This underscores the increasing role of AI in analyzing market trends and identifying high-potential investment opportunities in the cryptocurrency space.

Cardano 2025 Price Analysis: ADA May Hit $2 With Ozak AI Climbing From $0.005 to $1

Analytics InsightJul 14

The article analyzes Cardano's (ADA) potential to reach $2 by 2025, highlighting the rapid rise of Ozak AI's token from $0.005 to $1. It suggests that the integration of AI technologies like Ozak AI within blockchain ecosystems could drive significant growth and innovation in both the cryptocurrency and AI sectors.

SceneScript: An AI model and method to understand and describe 3D spaces

Hacker News - AIJul 14

Meta has introduced SceneScript, a new AI model and method designed to understand and generate detailed descriptions of 3D spaces from visual data. This advancement enables more accurate scene understanding and could enhance applications in augmented reality, robotics, and spatial computing, marking a significant step forward in AI's ability to interpret complex real-world environments.