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Analyze news credibility in seconds with AI-powered insights. Empowering journalists, researchers, and readers to tackle misinformation.
AI-powered credibility assessment at a glance
Input links, text, or files to assess credibility with AI-powered analysis
Amber News combines cutting-edge AI with reliable data sources to give you the tools for smarter news consumption.
Leverage advanced machine learning models to dissect articles, cross-reference claims, and surface hidden bias patterns in seconds.
Learn more→Get instant credibility assessments as breaking news unfolds. Our engine processes articles in under 5 seconds with live updates.
Learn more→Evaluate the trustworthiness of news sources with reliability scores drawn from historical accuracy, editorial standards, and fact-check records.
Learn more→Receive comprehensive breakdowns including trust scores, flagged issues, sentiment analysis, and actionable insights you can share or export.
Learn more→From input to insight, our AI-powered pipeline delivers credibility analysis in seconds. Here is how amber-news helps you uncover the truth.
Paste a link, drop a file, or type the news text you want to verify. Our system accepts articles in multiple Indian languages and formats.
Advanced algorithms cross-reference the content against trusted sources, fact-check databases, and reliability metrics in under 5 seconds.
The system identifies misinformation patterns, source credibility issues, and flags sensationalist language or manipulated claims.
Receive a detailed trust score, flagged issues breakdown, and source reliability report with clear, actionable insights you can share.
Real-time credibility insights across the most analyzed news categories
Hear from journalists, researchers, and everyday readers who rely on amber-news to decode the truth.
“amber-news transformed how I verify sources. The trust score gives me instant credibility insights before I publish a story.”
“As a misinformation researcher, the detailed flagged issues and source reliability metrics are invaluable for my work.”
“I finally feel confident sharing news with family. The analysis takes seconds and the results are easy to understand.”
“The drag-and-drop analyzer is a game changer. I can verify multiple articles in minutes instead of hours.”
Whether you are a journalist investigating stories or a developer building integrations, amber-news has you covered.
Join thousands of journalists, researchers, and everyday readers across India who are uncovering misinformation with AI-powered credibility analysis.
Everything you need to know about analyzing news credibility with amber-news.
Our AI-powered credibility engine leverages multiple verification sources and natural language processing to deliver accuracy rates above 92%. Each analysis cross-references claims against trusted databases, fact-checking organizations, and source reliability metrics to provide a comprehensive trust score.
Absolutely. We take data privacy seriously. All submitted content is encrypted in transit and at rest. We do not store your analyzed articles beyond the active session unless you explicitly save them to your account. Our infrastructure complies with industry-standard security practices.
No, you can explore our demo and analyze content as a guest without registration. However, creating a free account unlocks additional features such as analysis history, saved reports, and higher daily usage limits.
Currently, amber-news supports English and Hindi, with plans to expand to additional Indian regional languages including Marathi, Bengali, Tamil, and Telugu. Our language models are continuously trained to improve accuracy across all supported languages.
Most analyses complete within 3 to 5 seconds. The processing time depends on the length of the content and the number of sources being cross-referenced. Complex, multi-source articles may take slightly longer to ensure thorough verification.
You can analyze any text-based content, including social media posts, news article links, blog entries, and forwarded messages. Simply paste the text or drop a link into the analyzer, and our system will evaluate its credibility regardless of the source format.
The trust score is a composite metric ranging from 0 to 100 that reflects the overall credibility of the analyzed content. It factors in source reliability, factual consistency, language bias indicators, and cross-reference matches with verified information databases.
Yes, we offer a RESTful API that developers can integrate into their own applications, newsrooms, or research tools. Visit the Dev Portal for documentation, API keys, and usage examples to get started with programmatic access to our analysis engine.
Still have questions? We are here to help.
Visit our Dev Portal for more details →
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